Experimental and survey design

Size: px
Start display at page:

Download "Experimental and survey design"

Transcription

1 Friday, October 12, 2001 Page: 1 Experimental and survey design 1. There is a positive association between the number of drownings and ice cream sales. This is an example of an association likely caused by: a. coincidence b. cause and effect relationship c. confounding factor d. common cause e. none of the above 2. A new headache remedy was given to a group of 25 subjects who had headaches. Four hours after taking the new remedy, 20 of the subjects reported that their headaches had disappeared. From this information you conclude: a. that the remedy is effective for the treatment of headaches. b. nothing, because the sample size is too small. c. nothing, because there is no control group for comparison. d. that the new treatment is better than aspirin. that the remedy is not effective for the treatment of headaches. 3. A nutritionist wants to study the effect of storage time (6, 12, and 18 months) on the amount of vitamin C present in freeze dried fruit when stored for these lengths of time. Vitamin C is measured in milligrams per 100 milligrams of fruit. Six fruit packs were randomly assigned to each of the three storage times. The treatment, experimental unit, and response are respectively: a. a specific storage time, amount of vitamin C, a fruit pack b. a fruit pack, amount of vitamin C, a specific storage time c. random assignment, a fruit pack, amount of vitamin C d. a specific storage time, a fruit pack, amount of vitamin C e. a specific storage time, the nutritionist, amount of vitamin C 4. We wish to investigate if a new medicine is effective in reducing the length and severity of the flu. We take the next 20 patients that come to the walk-in clinic complaining of flu and, after a medical exam to verify that the patients do have the flu, we give them the new medicine and tell them about the new drug we are giving them. One week later, the patients are contacted and 15 patients state the new remedy was helpful in reducing the severity and length of the illness. Which of the following is NOT CORRECT? a. This is a poor experiment because there is no control group. We do not know how many would feel better in a week without treatment. b. This is a poor experiment because it is not double-blinded. The patients may feel relief because they thought the drug should work. c. This is a poor experiment because a convenience sample was selected. Patients who come to the a walk-in clinic may have more severe flu than people who do not. d. This is a poor experiment because we didn't give the remedy to people without the flu to assess its effect in a control group. This is a poor experiment because the sample size is likely to be too small to detect anything but a gross improvement in measuring the 5. A survey is to be undertaken of recent nursing graduates in order to compare the starting salaries of women and men. For each graduate, three variables are to be recorded (among others) sex, starting salary, and area of specialization. a. Sex and starting salary are explanatory variables; area of specialization is a response variable. b. Sex is an explanatory variable; starting salary and area of specialization are response

2 Friday, October 12, 2001 Page: 2 variables. c. Sex is an explanatory variable; starting salary is a response variable; area of specialization is a possible confounding variable. d. Sex is a response variable; starting salary is an explanatory variable; area of specialization is a possible confounding variable. e. Sex and area of specialization are response variables; starting salary is an explanatory variable. 6. Which of the following is CORRECT? a. We do not need to randomize if our sample size is sufficiently large. b. A large sample size always ensures that our sample is representative of the population. c. If all other things are equal, we need a larger sample size for a larger population. d. In a properly chosen sample, an estimate will be less variable with a large sample size and hence more precise. e. In random samples, the randomization ensures that we get precise and accurate estimates. 7. An experimenter wishes to test whether or not two types of fish food (a standard fish food and a new product) work equally well at producing fish of equal weight after a 2-month feeding program. The experimenter has 2 identical fish tanks (1 & 2) to put fish in and is considering how to assign the 40 tagged fish to the tanks. To properly assign the fish, one step would be to: a. put all the odd tagged numbered fish in one tank, the even in the other, and give the standard food type to the odd numbered ones b. obtain pairs of fish whose weights are virtually equal at the start of the experiment and randomly assign one to the group tank 1, the other to tank 2 with the feed assigned at random to the tanks. c. to proceed as in as in (b), but put the heavier of the pair into tank 2. d. assign the fish at random to the two tanks and give the standard feed to tank 1. e. not to proceed as in (b) because using the initial weight in (b) is a non-random process.use the initial length of the fish instead. 8. A researcher wishes to compare the effects of 2 fertilizers on the yield of a soybean crop. She has 20 plots of land available and she decides to use a paired experiment -- using 10 pairs of plots. Thus, she will: a. use a table of random numbers to divide the 20 plots into 10 pairs and then, for each pair, flip a coin to assign the fertilizers to the 2 plots. b. subjectively divide the 20 plots into 10 pairs (making the plots within a block as similar as possible) and then, for each pair, flip a coin to assign the fertilizers to the 2 plots. c. use a table of random numbers to divide the 20 plots into 10 pairs and then use the table of random numbers a second time to decide upon the fertilizer to be applied to each pair. d. flip a coin to divide the 20 plots into 10 pairs and then, for each pair, use a table of random numbers to assign the fertilizers to the 2 plots. e. use a table of random numbers to assign the 2 fertilizers to the 20 plots and then use the table of random numbers a second time to place the plots into 10 pairs. 9. A student wishes to examine the effect of wing width and wing length on the length of flight of a paper airplane. There are 4 different models of airplanes. Which of the following is NOT correct? a. A factor (such as wing width) is an experimental variable under control of the experimenter. b. The order of flights was randomized to remove the influence of any other variables upon the flight distance of each flight. c. It would be better to make four copies of each model of plane to give some feel for the

3 Friday, October 12, 2001 Page: 3 plane-to-plane variations. Flying a single copy four times gives information about the internal variation. d. Interaction between two factors means that the effect of a factor at one level depends on the level of the second factor. e. Planned experiments (where randomization can take place) is one of the strongest pieces of evidence in try to establish a causal relationship. 10. An experiment was conducted where you flew paper airplanes after modifying wing depth and wing length. There were four different models of airplane. One design consideration was the choice between flying each plane four times or making four copies of each model, each of which is flown once. Which of the following is NOT correct? a. Flying multiple copies of each model (i.e. separate planes of each model) could give information on variability in flight due to fabrication effects (i.e. how you made the plane). b. Flying a single copy of each model four times could give information on variability in flight due to changes in initial launch conditions. c. The differences in flight length among the different models gives information on the "effects" of the design factors - wing depth and wing length. d. The response variable is flight length; the explanatory variables are wing depth and wing width. e. Interaction between the effects of wing depth and wing width implies that the effects of wing depth are the same for all wing widths. 11. An experiment was designed an experiment to investigate the effect of the amount of water and seed variety upon subsequent growth of plants. Each plant was potted in a clay plot, and a measured amount of water was given weekly. The height of the plant at the end of the experiment was measured. Which of the following is not correct? a. The response variable is the plant height. b. The explanatory variables are the amount of water and seed variety. c. Randomization was used to eliminate the effect of other possible factors upon the growth of the plants. d. A possible uncontrollable factor in this experiment is any nutrients that might be present in the clay pots. e. Designed experiments give the best evidence of "cause-and-effect" relationships. 12. A survey was conducted by visiting a student parking lot to estimate the proportion of cars that were red. Which of the following is NOT correct? a. If the sampled stall was empty, we can simply choose another stall, at random, to take its place because it is not likely that the stall being vacant is related to a car being red. b. The sample would be representative of the population if 100 cars were chosen regardless if randomization was used or not. c. Even though a random sample was taken from cars in the parking lot, the sample may not be representative of the cars driven by SFU students because the decision to park in B-lot is self-selected. d. If a another sample of cars was chosen, it is likely that a different proportion of cars that are red would be obtained. e. The confidence interval computed gave a 95% confidence interval for the true proportion of cars that were red in the population of cars that park in B-lot (assuming that the sample was selected using the 3 R's). 13. A survey was done to estimate the proportion of cars that are red and are Japanese made in the City of Vancouver by taking a random sample of size 25 from a student parking lot at Simon Fraser University. Which of the following is NOT CORRECT: a. This sample may not be representative of the cars in Vancouver because mainly students park at SFU.

4 Friday, October 12, 2001 Page: 4 b. If the particular stall is vacant, we can simply select another stall at random because it is unlikely that a stall is vacant is related to the color or manufacturer of the car. c. It would be dangerous to simply select the first 25 stalls in the lot closest to the Applied Science Building because there are a number of stall reserved for service vehicles whose primary color is white. d. Different students obtained different answers for their sample proportions. This is an example of a sampling distribution for an estimator. e. The margin of error will depend upon the total number of cars in the lot when we did the sample. 14. Discriminant analysis is a statistical technique, which attempt to find a set of variables to allow you distinguish among groups, e.g. in one of the assignments, you tried to distinguish among authors based on sentence length and other statistics. Which of the following is NOT CORRECT? a. We needed to adjust some variables to a "per 100 word basis" or to a "per sentence basis" to adjust for the different number of words in the texts where authorship is known. b. Potentially useful variables are selected by finding variables whose distribution are as similar as possible for all the authors. c. Another example of this method might be a bank making a decision on granting a student a loan based on characteristics such as grade point average, past credit history, etc. d. We looked at many pairs of plots to find the pair of variables that gave the best separation between the two authors. Because of natural variability, errors can always be made. However, the goal of this analysis is to minimize the costs of misclassification. 15. An experiment was conducted where here you tried to distinguish among authors based on sentence length and other statistics. Which of the following is NOT correct? a. We needed to adjust some variables to a "per 100 word basis" to adjust for the different number of words on a page. b. This was a simplified form of discriminant analysis where, in general, one wishes to distinguish among groups of objects based on characteristics observed. c. Another example of this method might be a bank making a decision on granting a student a loan based on characteristics such as grade point average, past credit history, etc. d. The polygon plot is a way of "enclosing" typical values of the statistics for each author. e. Potentially useful variables are selected by finding variables whose distribution are as similar as possible for all the authors. 16. An experiment was conducted where you analyzed the results of the plant growth experiment after you manipulated the amount of water and seed variety. Which of the following is correct? a. We randomized the plants to plots to eliminate any effect of hidden variables. b. We could determine the best combination of water and seed variety by examining the difference in the plant height in the final week of the experiment. c. The variability in growth among plants of the same variety who received the same amount of water was constant over time. d. The growth of a particular plant in week 3 is likely to be independent (unrelated) of the growth of the same plant in week 2. e. The growth of the plants was linear over time. 17. The following numbers are extracted from a table of random digits:

5 Friday, October 12, 2001 Page: A scientist will be measuring the total amount of woody debris in a random sample of sites selected without replacement from a population of 45 sites. The sites are labeled 01, 02,..., 45 and she starts at the beginning of the line of random digits and takes consecutive pairs of digits. Which of the following is correct? a. Her sample is 38, 25, 02, 38, 22 b. Her sample is 38, 68, 35, 02, 22 c. Her sample is 38, 35, 27, 28, 08 d. Her sample is 38, 65, 35, 02, 79 e. Her sample is 38, 35, 02, 22, We wish to draw a sample of size 5 without replacement from a population 50 households. Suppose the households are numbered "01", "02",, "50", and suppose that the relevant line of the random number table is: Digits Then the households selected are: a. households b. households c. households d. households households An experiment to measure the effect of giving growth hormones to girls affected by Turner s Syndrome was carried out recently in Vancouver. All 34 girls in the study were given the growth hormone and their heights were measured at the time the hormone was given and again one year later. No measurements were made on their final adult heights. Which of the following is NOT a problem with this experiment: a. there was no blinding b. there was no control group c. nonresponse bias d. there was insufficient attention to the placebo effect e. Because final heights were not measured, it would be impossible to tell if the hormone affected final height or only accelerated growth and made no difference to final height. 20. Which of the following statements is FALSE? a. Nonresponse can cause bias in surveys because non-respondents often tend to behave differently from people who respond. b. Nonsampling errors are often bigger than the random sampling errors in surveys. c. Slight changes in the wording of questions can make a measurable difference to survey results. d. People will sometimes answer a question differently for different interviewers. e. Sophisticated statistical methods can always correct the results if the population you are sampling from is different from the population of interest, e.g. due to undercoverage. 21. A properly conducted random survey selected 1000 Canadians (from a total population of about 30 million) and 1000 Americans (from a total population of about 300 million). Which of the following is FALSE? a. Randomization ensures that both samples are representative of their respective populations. b. The precision is determined by the ratio of the sample size to the total population size. c. A smaller proportion of the American population has been chosen. Therefore, a

6 Friday, October 12, 2001 Page: 6 particular person has a smaller chance of being selected in America than in Canada. d. A potential stratification variable for both countries could be location - eastern, middle, or western continental. Random digit dialing to select people for the survey could induce biases in the results if the characteristic of interest for the survey is 22. A recent survey by a large-circulation Canadian magazine on the contribution of universities to the economy was circulated to 394 people who the magazine decided "are the most likely to know how important are universities to the Canadian economy". The main problem with using these results to draw conclusions about the general public s perception is: a. selection bias b. insufficient attention to the placebo effect c. no control group d. non-response bias e. interviewer bias

AP Statistics Chapter 5 Multiple Choice

AP Statistics Chapter 5 Multiple Choice AP Statistics Chapter 5 Multiple Choice 1. A nutritionist wants to study the effect of storage time (6, 12, and 18 months) on the amount of vitamin C present in freeze dried fruit when stored for these

More information

Chapter 1 Data Collection

Chapter 1 Data Collection Chapter 1 Data Collection OUTLINE 1.1 Introduction to the Practice of Statistics 1.2 Observational Studies versus Designed Experiments 1.3 Simple Random Sampling 1.4 Other Effective Sampling Methods 1.5

More information

Essential Question: How do we incorporate good experimental design in investigations? Experiments

Essential Question: How do we incorporate good experimental design in investigations? Experiments Essential Question: How do we incorporate good experimental design in investigations? Experiments Objectives Distinguish between good and poor experimental design. Identify independent, dependent, and

More information

Name: Class: Date: 1. Use Scenario 4-6. Explain why this is an experiment and not an observational study.

Name: Class: Date: 1. Use Scenario 4-6. Explain why this is an experiment and not an observational study. Name: Class: Date: Chapter 4 Review Short Answer Scenario 4-6 Read the following brief article about aspirin and alcohol. Aspirin may enhance impairment by alcohol Aspirin, a long time antidote for the

More information

Mathacle. PSet Stats, Concepts In Statistics Level Number Name: Date:

Mathacle. PSet Stats, Concepts In Statistics Level Number Name: Date: II. DESIGN OF STUDIES Observational studies and experiments are two types of studies that aim to describe or explain the variation of responses under the hypothesized factors, without or with manipulation.

More information

Chapter 5: Producing Data

Chapter 5: Producing Data Chapter 5: Producing Data Key Vocabulary: observational study vs. experiment confounded variables population vs. sample sampling vs. census sample design voluntary response sampling convenience sampling

More information

AP Statistics Exam Review: Strand 2: Sampling and Experimentation Date:

AP Statistics Exam Review: Strand 2: Sampling and Experimentation Date: AP Statistics NAME: Exam Review: Strand 2: Sampling and Experimentation Date: Block: II. Sampling and Experimentation: Planning and conducting a study (10%-15%) Data must be collected according to a well-developed

More information

Villarreal Rm. 170 Handout (4.3)/(4.4) - 1 Designing Experiments I

Villarreal Rm. 170 Handout (4.3)/(4.4) - 1 Designing Experiments I Statistics and Probability B Ch. 4 Sample Surveys and Experiments Villarreal Rm. 170 Handout (4.3)/(4.4) - 1 Designing Experiments I Suppose we wanted to investigate if caffeine truly affects ones pulse

More information

Chapter 13. Experiments and Observational Studies

Chapter 13. Experiments and Observational Studies Chapter 13 Experiments and Observational Studies 1 /36 Homework Read Chpt 13 Do p312 1, 7, 9, 11, 17, 20, 25, 27, 29, 33, 40, 41 2 /36 Observational Studies In an observational study, researchers do not

More information

Chapter 3. Producing Data

Chapter 3. Producing Data Chapter 3 Producing Data Types of data collected Anecdotal data data collected haphazardly (not representative!!) Available data existing data (examples: internet, library, census bureau,.) Gather own

More information

Section 1.1 What is Statistics?

Section 1.1 What is Statistics? Chapter 1 Getting Started Name Section 1.1 What is Statistics? Objective: In this lesson you learned how to identify variables in a statistical study, distinguish between quantitative and qualitative variables,

More information

3. For a $5 lunch with a 55 cent ($0.55) tip, what is the value of the residual?

3. For a $5 lunch with a 55 cent ($0.55) tip, what is the value of the residual? STATISTICS 216, SPRING 2006 Name: EXAM 1; February 21, 2006; 100 points. Instructions: Closed book. Closed notes. Calculator allowed. Double-sided exam. NO CELL PHONES. Multiple Choice (3pts each). Circle

More information

Quiz 4.1C AP Statistics Name:

Quiz 4.1C AP Statistics Name: Quiz 4.1C AP Statistics Name: 1. The school s newspaper has asked you to contact 100 of the approximately 1100 students at the school to gather information about student opinions regarding food at your

More information

Moore, IPS 6e Chapter 03

Moore, IPS 6e Chapter 03 Page 1 of 7 Moore, IPS 6e Chapter 03 Quizzes prepared by Dr. Patricia Humphrey, Georgia Southern University Researchers are studying the absorption of two drugs into the bloodstream. Each drug is to be

More information

Section Experiments

Section Experiments Section 4.2 - Experiments There are two different ways to produce/gather data in order to answer specific questions: 1. Observational Studies Observes individuals and measures variables of interest but

More information

Unit 3: Collecting Data. Observational Study Experimental Study Sampling Bias Types of Sampling

Unit 3: Collecting Data. Observational Study Experimental Study Sampling Bias Types of Sampling Unit 3: Collecting Data Observational Study Experimental Study Sampling Bias Types of Sampling Feb 7 10:12 AM The step of data collection is critical to obtain reliable information for your study. 2 Types

More information

A) I only B) II only C) III only D) II and III only E) I, II, and III

A) I only B) II only C) III only D) II and III only E) I, II, and III AP Statistics Review Chapters 13, 3, 4 Your Name: Per: MULTIPLE CHOICE. Write the letter corresponding to the best answer. 1.* The Physicians Health Study, a large medical experiment involving 22,000 male

More information

c. Construct a boxplot for the data. Write a one sentence interpretation of your graph.

c. Construct a boxplot for the data. Write a one sentence interpretation of your graph. STAT 280 Sample Test Problems Page 1 of 1 1. An English survey of 3000 medical records showed that smokers are more inclined to get depressed than non-smokers. Does this imply that smoking causes depression?

More information

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Exam Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Identify the W's for the description of data. 1) A survey of bicycles parked outside college

More information

4.2: Experiments. SAT Survey vs. SAT. Experiment. Confounding Variables. Section 4.2 Experiments. Observational Study vs.

4.2: Experiments. SAT Survey vs. SAT. Experiment. Confounding Variables. Section 4.2 Experiments. Observational Study vs. 4.2: s SAT Survey vs. SAT Describe a survey and an experiment that can be used to determine the relationship between SAT scores and hours studied? Section 4.2 s After this section, you should be able to

More information

Module 4 Introduction

Module 4 Introduction Module 4 Introduction Recall the Big Picture: We begin a statistical investigation with a research question. The investigation proceeds with the following steps: Produce Data: Determine what to measure,

More information

Observational study is a poor way to gauge the effect of an intervention. When looking for cause effect relationships you MUST have an experiment.

Observational study is a poor way to gauge the effect of an intervention. When looking for cause effect relationships you MUST have an experiment. Chapter 5 Producing data Observational study Observes individuals and measures variables of interest but does not attempt to influence the responses. Experiment Deliberately imposes some treatment on individuals

More information

Sampling. (James Madison University) January 9, / 13

Sampling. (James Madison University) January 9, / 13 Sampling The population is the entire group of individuals about which we want information. A sample is a part of the population from which we actually collect information. A sampling design describes

More information

Objectives. Data Collection 8/25/2017. Section 1-3. Identify the five basic sample techniques

Objectives. Data Collection 8/25/2017. Section 1-3. Identify the five basic sample techniques Section 1-3 Objectives Identify the five basic sample techniques Data Collection In research, statisticians use data in many different ways. Data can be used to describe situations. Data can be collected

More information

The Practice of Statistics 1 Week 2: Relationships and Data Collection

The Practice of Statistics 1 Week 2: Relationships and Data Collection The Practice of Statistics 1 Week 2: Relationships and Data Collection Video 12: Data Collection - Experiments Experiments are the gold standard since they allow us to make causal conclusions. example,

More information

Collecting Data Example: Does aspirin prevent heart attacks?

Collecting Data Example: Does aspirin prevent heart attacks? Collecting Data In an experiment, the researcher controls or manipulates the environment of the individuals. The intent of most experiments is to study the effect of changes in the explanatory variable

More information

MAT Mathematics in Today's World

MAT Mathematics in Today's World MAT 1000 Mathematics in Today's World Last Time 1. What does a sample tell us about the population? 2. Practical problems in sample surveys. Last Time Parameter: Number that describes a population Statistic:

More information

CHAPTER 5: PRODUCING DATA

CHAPTER 5: PRODUCING DATA CHAPTER 5: PRODUCING DATA 5.1: Designing Samples Exploratory data analysis seeks to what data say by using: These conclusions apply only to the we examine. To answer questions about some of individuals

More information

Chapter 1 - Sampling and Experimental Design

Chapter 1 - Sampling and Experimental Design Chapter 1 - Sampling and Experimental Design Read sections 1.3-1.5 Sampling (1.3.3 and 1.4.2) Sampling Plans: methods of selecting individuals from a population. We are interested in sampling plans such

More information

Class 1. b. Sampling a total of 100 Californians, where individuals are randomly selected from each major ethnic group.

Class 1. b. Sampling a total of 100 Californians, where individuals are randomly selected from each major ethnic group. What you need to know: Class 1 Sampling Study design The goal and importance of sampling methods Bias Sampling frame Volunteer sample Convenience sample Systematic sample Volunteer response Non-response

More information

Designing an experiment 7 TH /8 TH GRADE SCIENCE

Designing an experiment 7 TH /8 TH GRADE SCIENCE Designing an experiment 7 TH /8 TH GRADE SCIENCE Scientific inquiry 1. Make an observation 2. Ask a question 3. Create a hypothesis 4. Design an experiment 5. Gather and analyze data 6. Draw conclusions

More information

REVIEW FOR THE PREVIOUS LECTURE

REVIEW FOR THE PREVIOUS LECTURE Slide 2-1 Calculator: The same calculator policies as for the ACT hold for STT 315: http://www.actstudent.org/faq/answers/calculator.html. It is highly recommended that you have a TI-84, as this is the

More information

Variable Data univariate data set bivariate data set multivariate data set categorical qualitative numerical quantitative

Variable Data univariate data set bivariate data set multivariate data set categorical qualitative numerical quantitative The Data Analysis Process and Collecting Data Sensibly Important Terms Variable A variable is any characteristic whose value may change from one individual to another Examples: Brand of television Height

More information

AP Statistics Unit 4.2 Day 3 Notes: Experimental Design. Expt1:

AP Statistics Unit 4.2 Day 3 Notes: Experimental Design. Expt1: AP Statistics Unit 4.2 Day 3 Notes: Experimental Design OBSERVATION -observe outcomes without imposing any treatment EXPERIMENT -actively impose some treatment in order to observe the response I ve developed

More information

t-test for r Copyright 2000 Tom Malloy. All rights reserved

t-test for r Copyright 2000 Tom Malloy. All rights reserved t-test for r Copyright 2000 Tom Malloy. All rights reserved This is the text of the in-class lecture which accompanied the Authorware visual graphics on this topic. You may print this text out and use

More information

Paper Airplanes & Scientific Methods

Paper Airplanes & Scientific Methods Paper Airplanes & Scientific Methods Scientific Inquiry refers to the many different ways in which scientists investigate the world. Scientific investigations are one to answer questions and solve problems.

More information

Population. population. parameter. Census versus Sample. Statistic. sample. statistic. Parameter. Population. Example: Census.

Population. population. parameter. Census versus Sample. Statistic. sample. statistic. Parameter. Population. Example: Census. Population Population the complete collection of ALL individuals (scores, people, measurements, etc.) to be studied the population is usually too big to be studied directly, then statistics is used Parameter

More information

Vocabulary. Bias. Blinding. Block. Cluster sample

Vocabulary. Bias. Blinding. Block. Cluster sample Bias Blinding Block Census Cluster sample Confounding Control group Convenience sample Designs Experiment Experimental units Factor Level Any systematic failure of a sampling method to represent its population

More information

Chapter 4 Review. Name: Class: Date: Multiple Choice Identify the choice that best completes the statement or answers the question.

Chapter 4 Review. Name: Class: Date: Multiple Choice Identify the choice that best completes the statement or answers the question. Name: Class: Date: Chapter 4 Review Multiple Choice Identify the choice that best completes the statement or answers the question. 1. Use Scenario 4-1. The newspaper asks you to comment on their survey

More information

aps/stone U0 d14 review d2 teacher notes 9/14/17 obj: review Opener: I have- who has

aps/stone U0 d14 review d2 teacher notes 9/14/17 obj: review Opener: I have- who has aps/stone U0 d14 review d2 teacher notes 9/14/17 obj: review Opener: I have- who has 4: You should be able to explain/discuss each of the following words/concepts below... Observational Study/Sampling

More information

Chapter 11: Experiments and Observational Studies p 318

Chapter 11: Experiments and Observational Studies p 318 Chapter 11: Experiments and Observational Studies p 318 Observation vs Experiment An observational study observes individuals and measures variables of interest but does not attempt to influence the response.

More information

Name Class Date. Even when random sampling is used for a survey, the survey s results can have errors. Some of the sources of errors are:

Name Class Date. Even when random sampling is used for a survey, the survey s results can have errors. Some of the sources of errors are: Name Class Date 8-3 Surveys, Experiments, and Observational Studies Going Deeper Essential question: What kinds of statistical research are there, and which ones can establish cause-and-effect relationships

More information

Chapter 2. The Data Analysis Process and Collecting Data Sensibly. Copyright 2005 Brooks/Cole, a division of Thomson Learning, Inc.

Chapter 2. The Data Analysis Process and Collecting Data Sensibly. Copyright 2005 Brooks/Cole, a division of Thomson Learning, Inc. Chapter 2 The Data Analysis Process and Collecting Data Sensibly Important Terms Variable A variable is any characteristic whose value may change from one individual to another Examples: Brand of television

More information

Chapter 1: Exploring Data

Chapter 1: Exploring Data Chapter 1: Exploring Data Key Vocabulary:! individual! variable! frequency table! relative frequency table! distribution! pie chart! bar graph! two-way table! marginal distributions! conditional distributions!

More information

Part 1. For each of the following questions fill-in the blanks. Each question is worth 2 points.

Part 1. For each of the following questions fill-in the blanks. Each question is worth 2 points. Part 1. For each of the following questions fill-in the blanks. Each question is worth 2 points. 1. The bell-shaped frequency curve is so common that if a population has this shape, the measurements are

More information

Unit 1 Exploring and Understanding Data

Unit 1 Exploring and Understanding Data Unit 1 Exploring and Understanding Data Area Principle Bar Chart Boxplot Conditional Distribution Dotplot Empirical Rule Five Number Summary Frequency Distribution Frequency Polygon Histogram Interquartile

More information

Chapter 13 Summary Experiments and Observational Studies

Chapter 13 Summary Experiments and Observational Studies Chapter 13 Summary Experiments and Observational Studies What have we learned? We can recognize sample surveys, observational studies, and randomized comparative experiments. o These methods collect data

More information

lab exam lab exam Experimental Design Experimental Design when: Nov 27 - Dec 1 format: length = 1 hour each lab section divided in two

lab exam lab exam Experimental Design Experimental Design when: Nov 27 - Dec 1 format: length = 1 hour each lab section divided in two lab exam when: Nov 27 - Dec 1 length = 1 hour each lab section divided in two register for the exam in your section so there is a computer reserved for you If you write in the 1st hour, you can t leave

More information

10/4/2007 MATH 171 Name: Dr. Lunsford Test Points Possible

10/4/2007 MATH 171 Name: Dr. Lunsford Test Points Possible Pledge: 10/4/2007 MATH 171 Name: Dr. Lunsford Test 1 100 Points Possible I. Short Answer and Multiple Choice. (36 points total) 1. Circle all of the items below that are measures of center of a distribution:

More information

Chapter 9. Producing Data: Experiments. BPS - 5th Ed. Chapter 9 1

Chapter 9. Producing Data: Experiments. BPS - 5th Ed. Chapter 9 1 Chapter 9 Producing Data: Experiments BPS - 5th Ed. Chapter 9 1 Experiment versus Observational Study Both typically have the goal of detecting a relationship between the explanatory and response variables.

More information

Chapter 1: Statistical Basics

Chapter 1: Statistical Basics Section 1.1: What is Statistics? You are exposed to statistics regularly. If you are a sports fan, then you have the statistics for your favorite player. If you are interested in politics, then you look

More information

Chapter 13. Experiments and Observational Studies. Copyright 2012, 2008, 2005 Pearson Education, Inc.

Chapter 13. Experiments and Observational Studies. Copyright 2012, 2008, 2005 Pearson Education, Inc. Chapter 13 Experiments and Observational Studies Copyright 2012, 2008, 2005 Pearson Education, Inc. Observational Studies In an observational study, researchers don t assign choices; they simply observe

More information

Data = collections of observations, measurements, gender, survey responses etc. Sample = collection of some members (a subset) of the population

Data = collections of observations, measurements, gender, survey responses etc. Sample = collection of some members (a subset) of the population Chapter 1: Basic Ideas 1.1 Sampling Statistics = the Science of Data By collecting a limited amount of data, we want to say something about the whole group that we want to study, i.e. we want to say something

More information

You can t fix by analysis what you bungled by design. Fancy analysis can t fix a poorly designed study.

You can t fix by analysis what you bungled by design. Fancy analysis can t fix a poorly designed study. You can t fix by analysis what you bungled by design. Light, Singer and Willett Or, not as catchy but perhaps more accurate: Fancy analysis can t fix a poorly designed study. Producing Data The Role of

More information

UNIT 1 EXAM REVIEW (Topics 1-5)

UNIT 1 EXAM REVIEW (Topics 1-5) UNIT 1 EXAM REVIEW (Topics 1-5) Name Block Vocabulary: Do the attached crossword puzzle. If you need additional help, use your vocabulary sheets and some index cards. Make flash cards for all of the words

More information

Unit 1 Outline Science Practices. Part 1 - The Scientific Method. Screencasts found at: sciencepeek.com. 1. List the steps of the scientific method.

Unit 1 Outline Science Practices. Part 1 - The Scientific Method. Screencasts found at: sciencepeek.com. 1. List the steps of the scientific method. Screencasts found at: sciencepeek.com Part 1 - The Scientific Method 1. List the steps of the scientific method. 2. What is an observation? Give an example. Quantitative or Qualitative Data? 35 grams?

More information

Section 4.3 Using Studies Wisely. Honors Statistics. Aug 23-8:26 PM. Daily Agenda. 1. Check homework C4# Group Quiz on

Section 4.3 Using Studies Wisely. Honors Statistics. Aug 23-8:26 PM. Daily Agenda. 1. Check homework C4# Group Quiz on Section 4.3 Using Studies Wisely Honors Statistics Aug 23-8:26 PM Daily Agenda 1. Check homework C4#10 2. Group Quiz on 4.2 4.3 concepts 5. Discuss homework C4#11 Aug 23-8:31 PM 1 pg 262-264: 76, 79, 81,

More information

Chapter 3. Producing Data

Chapter 3. Producing Data Chapter 3. Producing Data Introduction Mostly data are collected for a specific purpose of answering certain questions. For example, Is smoking related to lung cancer? Is use of hand-held cell phones associated

More information

Unit notebook May 29, 2015

Unit notebook May 29, 2015 S.IC.3 S.IC.6 Objective: Students will recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each and evaluate reports

More information

Comparing Different Studies

Comparing Different Studies 32 LESSON Comparing Different Studies Types of Studies UNDERSTAND By studying a small group within a larger group, you can make inferences about the larger group. The larger group, called the population,

More information

Clever Hans the horse could do simple math and spell out the answers to simple questions. He wasn t always correct, but he was most of the time.

Clever Hans the horse could do simple math and spell out the answers to simple questions. He wasn t always correct, but he was most of the time. Clever Hans the horse could do simple math and spell out the answers to simple questions. He wasn t always correct, but he was most of the time. While a team of scientists, veterinarians, zoologists and

More information

Designed Experiments have developed their own terminology. The individuals in an experiment are often called subjects.

Designed Experiments have developed their own terminology. The individuals in an experiment are often called subjects. When we wish to show a causal relationship between our explanatory variable and the response variable, a well designed experiment provides the best option. Here, we will discuss a few basic concepts and

More information

MAT 155. Chapter 1 Introduction to Statistics. Key Concept. Basics of Collecting Data. August 20, S1.5_3 Collecting Sample Data

MAT 155. Chapter 1 Introduction to Statistics. Key Concept. Basics of Collecting Data. August 20, S1.5_3 Collecting Sample Data MAT 155 Dr. Claude Moore Cape Fear Community College Chapter 1 Introduction to Statistics 1 1 Review and Preview 1 2 Statistical Thinking 1 3 Types of Data 1 4 Critical Thinking 1 5 Collecting Sample Data

More information

Paper Airplanes & Scientific Methods

Paper Airplanes & Scientific Methods Paper Airplanes & Scientific Methods Scientific Inquiry refers to the many different ways in which scientists investigate the world. Scientific investigations are done to answer questions and solve problems.

More information

Experimental Design There is no recovery from poorly collected data!

Experimental Design There is no recovery from poorly collected data! Experimental Design There is no recovery from poorly collected data! Vocabulary List n Look over the list of words. n Count how many you feel you know. n Place a dot on the number line above that number.

More information

STATISTICS 8 CHAPTERS 1 TO 6, SAMPLE MULTIPLE CHOICE QUESTIONS

STATISTICS 8 CHAPTERS 1 TO 6, SAMPLE MULTIPLE CHOICE QUESTIONS STATISTICS 8 CHAPTERS 1 TO 6, SAMPLE MULTIPLE CHOICE QUESTIONS Circle the best answer. This scenario applies to Questions 1 and 2: A study was done to compare the lung capacity of coal miners to the lung

More information

Probability and Statistics Chapter 1 Notes

Probability and Statistics Chapter 1 Notes Probability and Statistics Chapter 1 Notes I Section 1-1 A is the science of collecting, organizing, analyzing, and interpreting data in order to make decisions 1 is information coming from observations,

More information

2. METHODS OF DATA COLLECTION

2. METHODS OF DATA COLLECTION 2. METHODS OF DATA COLLECTION Proper data collection is important. Even sophisticated statistical analyses can t compensate for data with bias, ambiguity or errors. Some examples from Wainer, Palmer and

More information

Chapter 8 Statistical Principles of Design. Fall 2010

Chapter 8 Statistical Principles of Design. Fall 2010 Chapter 8 Statistical Principles of Design Fall 2010 Experimental Design Many interesting questions in biology involve relationships between response variables and one or more explanatory variables. Biology

More information

UNIT II: RESEARCH METHODS

UNIT II: RESEARCH METHODS THINKING CRITICALLY WITH PSYCHOLOGICAL SCIENCE UNIT II: RESEARCH METHODS Module 4: The Need for Psychological Science Module 5: Scientific Method and Description Module 6: Correlation and Experimentation

More information

The Experiments of Gregor Mendel

The Experiments of Gregor Mendel 11.1 The Work of Gregor Mendel 11.2 Applying Mendel s Principles The Experiments of Gregor Mendel Every living thing (plant or animal, microbe or human being) has a set of characteristics inherited from

More information

Observation Studies, Sampling Designs and Bias

Observation Studies, Sampling Designs and Bias Observation Studies, Sampling Designs and Bias Study / memorize this Observation Study: is a study wherein the researcher passively observes individuals or objects and measures / records some characteristic

More information

Chapter 1: Introduction to Statistics

Chapter 1: Introduction to Statistics Chapter 1: Introduction to Statistics Name Period 1 1.1 Review and Preview Data: Ex: measurements, genders, survey responses Statistics: Common & Important Goal of Statistics: Population: Ex: scores, people,

More information

Types of Studies. There are three main types of studies. These are ways to collect data.

Types of Studies. There are three main types of studies. These are ways to collect data. Types of Studies There are three main types of studies. These are ways to collect data. Planned / designed experiments Observational studies Sample survey STA305 - week 1 1 Planned / Designed Experiments

More information

Biostatistics for Med Students. Lecture 1

Biostatistics for Med Students. Lecture 1 Biostatistics for Med Students Lecture 1 John J. Chen, Ph.D. Professor & Director of Biostatistics Core UH JABSOM JABSOM MD7 February 14, 2018 Lecture note: http://biostat.jabsom.hawaii.edu/education/training.html

More information

I can explain how under coverage, nonresponse, and question wording can lead to bias in a sample survey. Strive p. 67; Textbook p.

I can explain how under coverage, nonresponse, and question wording can lead to bias in a sample survey. Strive p. 67; Textbook p. 1 AP Statistics Unit 2 Concepts (Chapter 4) Baseline Topics: (must show mastery in order to receive a 3 or above I can distinguish between a census and a sample I can identify a systematic sample. Textbook

More information

Ch 1.1 & 1.2 Basic Definitions for Statistics

Ch 1.1 & 1.2 Basic Definitions for Statistics Ch 1.1 & 1.2 Basic Definitions for Statistics Objective A : Basic Definition A1. Definition What is Statistics? Statistics is the science of collecting, organizing, summarizing, and analyzing data to draw

More information

Sta 309 (Statistics And Probability for Engineers)

Sta 309 (Statistics And Probability for Engineers) Instructor: Prof. Mike Nasab Sta 309 (Statistics And Probability for Engineers) Chapter (1) 1. Statistics: The science of collecting, organizing, summarizing, analyzing numerical information called data

More information

5.2 ap stats filled10.notebook. August 31, Experimental Studies Experiments intervention. Observational Studies no intervention.

5.2 ap stats filled10.notebook. August 31, Experimental Studies Experiments intervention. Observational Studies no intervention. Observational Studies no intervention Experimental Studies Experiments intervention Surveys 1 Experiments vs. Samples sampling purpose: estimate parameter how: measure a representative subset of the population,

More information

Further Mathematics 2018 CORE: Data analysis Chapter 3 Investigating associations between two variables

Further Mathematics 2018 CORE: Data analysis Chapter 3 Investigating associations between two variables Chapter 3: Investigating associations between two variables Further Mathematics 2018 CORE: Data analysis Chapter 3 Investigating associations between two variables Extract from Study Design Key knowledge

More information

6 Relationships between

6 Relationships between CHAPTER 6 Relationships between Categorical Variables Chapter Outline 6.1 CONTINGENCY TABLES 6.2 BASIC RULES OF PROBABILITY WE NEED TO KNOW 6.3 CONDITIONAL PROBABILITY 6.4 EXAMINING INDEPENDENCE OF CATEGORICAL

More information

CHAPTER 8 EXPERIMENTAL DESIGN

CHAPTER 8 EXPERIMENTAL DESIGN CHAPTER 8 1 EXPERIMENTAL DESIGN LEARNING OBJECTIVES 2 Define confounding variable, and describe how confounding variables are related to internal validity Describe the posttest-only design and the pretestposttest

More information

STAT 111 SEC 006 PRACTICE EXAM 1: SPRING 2007

STAT 111 SEC 006 PRACTICE EXAM 1: SPRING 2007 STAT 111 SEC 006 PRACTICE EXAM 1: SPRING 2007 1. You want to know the opinions of American schoolteachers about establishing a national test for high school graduation. You obtain a list of the members

More information

Creative Commons Attribution-NonCommercial-Share Alike License

Creative Commons Attribution-NonCommercial-Share Alike License Author: Brenda Gunderson, Ph.D., 2015 License: Unless otherwise noted, this material is made available under the terms of the Creative Commons Attribution- NonCommercial-Share Alike 3.0 Unported License:

More information

Summer AP Statistic. Chapter 4 : Sampling and Surveys: Read What s the difference between a population and a sample?

Summer AP Statistic. Chapter 4 : Sampling and Surveys: Read What s the difference between a population and a sample? Chapter 4 : Sampling and Surveys: Read 207-208 Summer AP Statistic What s the difference between a population and a sample? Alternate Example: Identify the population and sample in each of the following

More information

Welcome to OSA Training Statistics Part II

Welcome to OSA Training Statistics Part II Welcome to OSA Training Statistics Part II Course Summary Using data about a population to draw graphs Frequency distribution and variability within populations Bell Curves: What are they and where do

More information

Chapter 5 & 6 Review. Producing Data Probability & Simulation

Chapter 5 & 6 Review. Producing Data Probability & Simulation Chapter 5 & 6 Review Producing Data Probability & Simulation M&M s Given a bag of M&M s: What s my population? How can I take a simple random sample (SRS) from the bag? How could you introduce bias? http://joshmadison.com/article/mms-colordistribution-analysis/

More information

MATH& 146 Lesson 6. Section 1.5 Experiments

MATH& 146 Lesson 6. Section 1.5 Experiments MATH& 146 Lesson 6 Section 1.5 Experiments 1 Experiments Studies where the researchers assign treatments to cases are called experiments. When this assignment includes randomization (such as coin flips)

More information

Name: Open binders and StatCrunch are allowed. For each problem marked with a, follow these directions:

Name: Open binders and StatCrunch are allowed. For each problem marked with a, follow these directions: Units 5 and 6 Units 5 and 6 Group Quiz Name: Holtmann Open binders and StatCrunch are allowed. For each problem marked with a, follow these directions: Sketch a normal curve. Label the mean with a number.

More information

OBSERVATION METHODS: EXPERIMENTS

OBSERVATION METHODS: EXPERIMENTS OBSERVATION METHODS: EXPERIMENTS Sociological Research Methods Experiments Independent variable is manipulated, and the dependent variable respond to the manipulation. e.g. Eating a chocolate bar prior

More information

Scientific Method and Experimental Design

Scientific Method and Experimental Design Biology Ms. Ye Name Date Block Scientific Method and Experimental Design Video Notes: bit.ly/1lxjcb1 The scientific method is a process that is meant to produce to answer a Simplified example of how you

More information

Principles of Experimental Design

Principles of Experimental Design Principles of Experimental Design Bret Hanlon and Bret Larget Department of Statistics University of Wisconsin Madison November 15, 2011 Designing Experiments 1 / 31 Experimental Design Many interesting

More information

Principles of Experimental Design

Principles of Experimental Design Principles of Experimental Design Bret Hanlon and Bret Larget Department of Statistics University of Wisconsin Madison November 15, 2011 Designing Experiments 1 / 31 Experimental Design Many interesting

More information

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) 1) A) B) C) D)

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) 1) A) B) C) D) Exam Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) 1) A) B) C) D) Decide whether or not the conditions and assumptions for inference with

More information

Module 01 Doing Social Psychology

Module 01 Doing Social Psychology Module 01 Doing Social Psychology Multiple Choice Questions 1. (p. 1) According to the text, social psychology is defined as the scientific study of how people A. motivate, persuade and hurt one another.

More information

Lecture Slides. Elementary Statistics Eleventh Edition. by Mario F. Triola. and the Triola Statistics Series 1.1-1

Lecture Slides. Elementary Statistics Eleventh Edition. by Mario F. Triola. and the Triola Statistics Series 1.1-1 Lecture Slides Elementary Statistics Eleventh Edition and the Triola Statistics Series by Mario F. Triola 1.1-1 Chapter 1 Introduction to Statistics 1-1 Review and Preview 1-2 Statistical Thinking 1-3

More information

Research in the Social Sciences. Saturday, February 3, 18

Research in the Social Sciences. Saturday, February 3, 18 Research in the Social Sciences All sciences (including social sciences) rely on empirical evidence (information we can verify with our senses Write this Down Common Sense vs. Evidence Poor people are

More information

V. Gathering and Exploring Data

V. Gathering and Exploring Data V. Gathering and Exploring Data With the language of probability in our vocabulary, we re now ready to talk about sampling and analyzing data. Data Analysis We can divide statistical methods into roughly

More information

Chapter 1: Data Collection Pearson Prentice Hall. All rights reserved

Chapter 1: Data Collection Pearson Prentice Hall. All rights reserved Chapter 1: Data Collection 2010 Pearson Prentice Hall. All rights reserved 1-1 Statistics is the science of collecting, organizing, summarizing, and analyzing information to draw conclusions or answer

More information

ANATOMY OF A RESEARCH ARTICLE

ANATOMY OF A RESEARCH ARTICLE ANATOMY OF A RESEARCH ARTICLE by Joseph E. Muscolino D.C. Introduction As massage therapy enters its place among the professions of complimentary alternative medicine (CAM), the need for research becomes

More information