9. Interpret a Confidence level: "To say that we are 95% confident is shorthand for..
|
|
|
- Bernard Carr
- 5 years ago
- Views:
Transcription
1 Mrs. Daniel AP Stats Chapter 8 Guided Reading 8.1 Confidence Intervals: The Basics 1. A point estimator is a statistic that 2. The value of the point estimator statistic is called a and it is our "best guess" at the value of the. 3. In statistics, what is meant by a 95% confidence interval? 4. A confidence interval takes the form of : estimate margin of error where: estimate = margin of error = 5. Define a level C confidence interval. 6. What information does the margin of error provide? 7. Sketch and label a 95% confidence interval for the standard normal curve. 8. Sketch and label a 90% confidence interval for the standard normal curve. 9. Interpret a Confidence level: "To say that we are 95% confident is shorthand for..
2 10. Explain how to interpret a Confidence interval. 11. Does the confidence level tell us the chance that a particular confidence interval captures the population parameter? If not, what does it tell us? 12. What does the critical value depend on? 13. Write the form for calculating a confidence interval as shown on page Why do we want high confidence and a small margin of error? 15. Explain the two conditions when the margin of error gets smaller. 16. State the three conditions for constructing a confidence interval for p or u (mean). Random Normal Independent
3 8.2 Estimating a Population Proportion 1. In statistics, what is meant by a sample proportion: ˆp? 2. Give the mean and standard deviation for the sampling distribution of ˆp? 3. Define standard error. 4. In general what is meant by the standard error of a statistic? 5. How do you calculate the standard error of ˆp? 6. What is the formula for a one sample z interval for a population proportion? Describe how to construct a level C confidence interval for a population proportion. 7. Describe the four step process on how to construct and interpret a confidence interval. State Plan Do Conclude
4 8. What formula is used to determine the sample size necessary for a given margin of error? 9. What conditions must be met in order to use z procedures for inference about a proportion? 10. What does z* represent? 11. What is the value of z* for a 95% confidence interval? Include a sketch. 12. What is the value of z* for a 90% confidence interval? Include a sketch. 13. What is the value of z* for a 99% confidence interval? Include a sketch. 8.3 Estimating a Population Mean 1. What is the formula for a one sample z interval for a population mean? Describe how to construct a level C confidence interval for a population mean.
5 2. What is the formula for the margin of error of the confidence interval for the population mean? 3. How can you arrange to have both high confidence and a small margin of error? 4. Describe the three steps for choosing a sample size for a desired margin of error when estimating the mean. 5. What happens to the margin of error as z* gets smaller? Does this result in a higher or lower confidence level? 6. What happens to the margin of error, as standard deviation gets smaller? 7. What happens to the margin of error, as n gets larger? By how many times must the sample size n increase in order to cut the margin of error in half? 8. It is the size of the that determines the margin of error. The size of the does not influence the sample size we need. 9. How do you calculate the degrees of freedom for a t distribution?
6 10. What happens to the t distribution as the degrees of freedom increase? 11. How would you construct a t distribution? 12. Describe the differences between a standard normal distribution and a t distribution. 13. Describe the similarities between a standard normal distribution and a t distribution. 14. What is the formula for the standard deviation of the sampling distribution of the sample mean? 15. What is the standard error of the sample mean? 16. Describe how to construct the one sample t interval for a population mean? 17. Summarize the three conditions for inference about a population mean: Random Normal Independent
7 18. Inferences for proportions use and inferences for means use. 19. What does it mean if an inference procedure is robust? 20. If the size of the SRS is less than 15, when can we use t procedures on the data? 21. If the size of the SRS is at least 15, when can we use t procedures on the data? 22. If the size of the SRS is at least 30, when can we use t procedures on the data? 24. Summarize the details of the four step procedure for estimating p: State Plan Do Conclude
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence Key Vocabulary: point estimator point estimate confidence interval margin of error interval confidence level random normal independent four step process level C confidence
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence Section 8.1 The Practice of Statistics, 4 th edition For AP* STARNES, YATES, MOORE Introduction Our goal in many statistical settings is to use a sample statistic
10.1 Estimating with Confidence. Chapter 10 Introduction to Inference
10.1 Estimating with Confidence Chapter 10 Introduction to Inference Statistical Inference Statistical inference provides methods for drawing conclusions about a population from sample data. Two most common
CHAPTER 8 Estimating with Confidence
CHAPTER 8 Estimating with Confidence 8.1 Confidence Intervals: The Basics The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers Confidence Intervals: The
Chapter 8 Estimating with Confidence
Chapter 8 Estimating with Confidence Introduction Our goal in many statistical settings is to use a sample statistic to estimate a population parameter. In Chapter 4, we learned if we randomly select the
Chapter 19. Confidence Intervals for Proportions. Copyright 2010 Pearson Education, Inc.
Chapter 19 Confidence Intervals for Proportions Copyright 2010 Pearson Education, Inc. Standard Error Both of the sampling distributions we ve looked at are Normal. For proportions For means SD pˆ pq n
Probability Models for Sampling
Probability Models for Sampling Chapter 18 May 24, 2013 Sampling Variability in One Act Probability Histogram for ˆp Act 1 A health study is based on a representative cross section of 6,672 Americans age
Confidence Intervals. Chapter 10
Confidence Intervals Chapter 10 Confidence Intervals : provides methods of drawing conclusions about a population from sample data. In formal inference we use to express the strength of our conclusions
CHAPTER 8 Estimating with Confidence
CHAPTER 8 Estimating with Confidence 8.1b Confidence Intervals: The Basics The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers Confidence Intervals: The
Chapter 19. Confidence Intervals for Proportions. Copyright 2010, 2007, 2004 Pearson Education, Inc.
Chapter 19 Confidence Intervals for Proportions Copyright 2010, 2007, 2004 Pearson Education, Inc. Standard Error Both of the sampling distributions we ve looked at are Normal. For proportions For means
Chapter 8 Estimating with Confidence. Lesson 2: Estimating a Population Proportion
Chapter 8 Estimating with Confidence Lesson 2: Estimating a Population Proportion What proportion of the beads are yellow? In your groups, you will find a 95% confidence interval for the true proportion
Chapter 8 Estimating with Confidence. Lesson 2: Estimating a Population Proportion
Chapter 8 Estimating with Confidence Lesson 2: Estimating a Population Proportion Conditions for Estimating p These are the conditions you are expected to check before calculating a confidence interval
One-Way Independent ANOVA
One-Way Independent ANOVA Analysis of Variance (ANOVA) is a common and robust statistical test that you can use to compare the mean scores collected from different conditions or groups in an experiment.
Chapter 6: Confidence Intervals
Chapter 6: Confidence Intervals Part II Eric D. Nordmoe Math 261 Department of Mathematics and Computer Science Kalamazoo College Spring 2009 Outline Using SPSS to Obtain Confidence Intervals for µ Sample
***SECTION 10.1*** Confidence Intervals: The Basics
SECTION 10.1 Confidence Intervals: The Basics CHAPTER 10 ~ Estimating with Confidence How long can you expect a AA battery to last? What proportion of college undergraduates have engaged in binge drinking?
Reflection Questions for Math 58B
Reflection Questions for Math 58B Johanna Hardin Spring 2017 Chapter 1, Section 1 binomial probabilities 1. What is a p-value? 2. What is the difference between a one- and two-sided hypothesis? 3. What
Lecture 12A: Chapter 9, Section 1 Inference for Categorical Variable: Confidence Intervals
Looking Back: Review Lecture 12A: Chapter 9, Section 1 Inference for Categorical Variable: Confidence Intervals! Probability vs. Confidence! Constructing Confidence Interval! Sample Size; Level of Confidence!
Math 243 Sections , 6.1 Confidence Intervals for ˆp
Math 243 Sections 5.1-5.2, 6.1 Confidence Intervals for ˆp Overview Polls and Statistical Inference Confidence Levels and Critical z-values Standard Error and Margin of Error Confidence Intervals Statistical
Module 28 - Estimating a Population Mean (1 of 3)
Module 28 - Estimating a Population Mean (1 of 3) In "Estimating a Population Mean," we focus on how to use a sample mean to estimate a population mean. This is the type of thinking we did in Modules 7
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!
Two-Way Independent ANOVA
Two-Way Independent ANOVA Analysis of Variance (ANOVA) a common and robust statistical test that you can use to compare the mean scores collected from different conditions or groups in an experiment. There
Graphic Organizers. Compare/Contrast. 1. Different. 2. Different. Alike
1 Compare/Contrast When you compare and contrast people, places, objects, or ideas, you are looking for how they are alike and how they are different. One way to organize your information is to use a Venn
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
Confidence Intervals
Confidence Intervals MGSE9 12.S.IC.4 Use data from a sample survey to estimate a population mean or proportion develop a margin of error through the use of simulation models for random sampling. Jan 28
2.75: 84% 2.5: 80% 2.25: 78% 2: 74% 1.75: 70% 1.5: 66% 1.25: 64% 1.0: 60% 0.5: 50% 0.25: 25% 0: 0%
Capstone Test (will consist of FOUR quizzes and the FINAL test grade will be an average of the four quizzes). Capstone #1: Review of Chapters 1-3 Capstone #2: Review of Chapter 4 Capstone #3: Review of
USING STATCRUNCH TO CONSTRUCT CONFIDENCE INTERVALS and CALCULATE SAMPLE SIZE
USING STATCRUNCH TO CONSTRUCT CONFIDENCE INTERVALS and CALCULATE SAMPLE SIZE Using StatCrunch for confidence intervals (CI s) is super easy. As you can see in the assignments, I cover 9.2 before 9.1 because
Previously, when making inferences about the population mean,, we were assuming the following simple conditions:
Chapter 17 Inference about a Population Mean Conditions for inference Previously, when making inferences about the population mean,, we were assuming the following simple conditions: (1) Our data (observations)
THIS PROBLEM HAS BEEN SOLVED BY USING THE CALCULATOR. A 90% CONFIDENCE INTERVAL IS ALSO SHOWN. ALL QUESTIONS ARE LISTED BELOW THE RESULTS.
Math 117 Confidence Intervals and Hypothesis Testing Interpreting Results SOLUTIONS The results are given. Interpret the results and write the conclusion within context. Clearly indicate what leads to
A point estimate is a single value that has been calculated from sample data to estimate the unknown population parameter. s Sample Standard Deviation
7.1 Margins of Error and Estimates What is estimation? A point estimate is a single value that has been calculated from sample data to estimate the unknown population parameter. Population Parameter Sample
A point estimate is a single value that has been calculated from sample data to estimate the unknown population parameter. s Sample Standard Deviation
7.1 Margins of Error and Estimates What is estimation? A point estimate is a single value that has been calculated from sample data to estimate the unknown population parameter. Population Parameter Sample
STA Learning Objectives. What is Population Proportion? Module 7 Confidence Intervals for Proportions
STA 2023 Module 7 Confidence Intervals for Proportions Learning Objectives Upon completing this module, you should be able to: 1. Find and interpret a large-sample confidence interval for a population
STA Module 7 Confidence Intervals for Proportions
STA 2023 Module 7 Confidence Intervals for Proportions Learning Objectives Upon completing this module, you should be able to: 1. Find and interpret a large-sample confidence interval for a population
Chapter 20 Confidence Intervals with proportions!
Chapter 20 Confidence Intervals with proportions! Statistic or Type of Variable Parameter Point Estimate Quantitative Categorical (Binary) Any Confidence Interval Point Estimate ± Margin of Error Point
Chapter 23. Inference About Means. Copyright 2010 Pearson Education, Inc.
Chapter 23 Inference About Means Copyright 2010 Pearson Education, Inc. Getting Started Now that we know how to create confidence intervals and test hypotheses about proportions, it d be nice to be able
AP Stats Chap 27 Inferences for Regression
AP Stats Chap 27 Inferences for Regression Finally, we re interested in examining how slopes of regression lines vary from sample to sample. Each sample will have it s own slope, b 1. These are all estimates
The following command was executed on their calculator: mean(randnorm(m,20,16))
8.1- Confidence Intervals: The Basics Introduction How long does a new model of laptop battery last? What proportion of college undergraduates have engaged in binge drinking? How much does the weight of
1. Find the appropriate value for constructing a confidence interval in each of the following settings:
AP Statistics Unit 06 HW #4 Review Name Period 1. Find the appropriate value for constructing a confidence interval in each of the following settings: a. Estimating a population proportion p at a 94% confidence
Statistical Inference
Statistical Inference Chapter 10: Intro to Inference Section 10.1 Estimating with Confidence "How good is your best guess?" "How confident are you in your method?" provides methods for about a from the.
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
CHAPTER OBJECTIVES - STUDENTS SHOULD BE ABLE TO:
3 Chapter 8 Introducing Inferential Statistics CHAPTER OBJECTIVES - STUDENTS SHOULD BE ABLE TO: Explain the difference between descriptive and inferential statistics. Define the central limit theorem and
Population. Sample. AP Statistics Notes for Chapter 1 Section 1.0 Making Sense of Data. Statistics: Data Analysis:
Section 1.0 Making Sense of Data Statistics: Data Analysis: Individuals objects described by a set of data Variable any characteristic of an individual Categorical Variable places an individual into one
CHAPTER NINE DATA ANALYSIS / EVALUATING QUALITY (VALIDITY) OF BETWEEN GROUP EXPERIMENTS
CHAPTER NINE DATA ANALYSIS / EVALUATING QUALITY (VALIDITY) OF BETWEEN GROUP EXPERIMENTS Chapter Objectives: Understand Null Hypothesis Significance Testing (NHST) Understand statistical significance and
Quantitative Literacy: Thinking Between the Lines
Quantitative Literacy: Thinking Between the Lines Crauder, Noell, Evans, Johnson Chapter 6: Statistics 2013 W. H. Freeman and Company 1 Chapter 6: Statistics Lesson Plan Data summary and presentation:
APPENDIX N. Summary Statistics: The "Big 5" Statistical Tools for School Counselors
APPENDIX N Summary Statistics: The "Big 5" Statistical Tools for School Counselors This appendix describes five basic statistical tools school counselors may use in conducting results based evaluation.
How to Compute Mean Scores: CFAI-W
How to Compute Mean Scores: CFAI-W Here are the steps for computing the mean scores for the CFAI-W subscales. Compute each mean to four decimal places. Step 1 Reverse-score the following items: 5,7,8,14,15,16,21,23,28,38,40,42,43,45,46,47,49,53,56,61,63,69,73,79,80,81,82
Exam 4 Review Exercises
Math 160: Statistics Spring, 2014 Toews Exam 4 Review Exercises Instructions: Working in groups of 2-4, first review the goals and objectives for this exam (listed below) and then work the following problems.
Chapter 15: Continuation of probability rules
Chapter 15: Continuation of probability rules Example: HIV-infected women attending either an infectious disease clinic in Bangkok were screened for high-risk HPV and received a Pap test; those with abnormal
AP STATISTICS 2009 SCORING GUIDELINES (Form B)
AP STATISTICS 2009 SCORING GUIDELINES (Form B) Question 6 Intent of Question The primary goals of this investigative task were to assess students ability to (1) evaluate whether a double-blind randomized
Introduction. Lecture 1. What is Statistics?
Lecture 1 Introduction What is Statistics? Statistics is the science of collecting, organizing and interpreting data. The goal of statistics is to gain information and understanding from data. A statistic
Evaluating you relationships
Evaluating you relationships What relationships are important to you? What are you doing today to care for them? Have you told those concerned how you feel? Most of us regularly inspect the health of our
FORM C Dr. Sanocki, PSY 3204 EXAM 1 NAME
PSYCH STATS OLD EXAMS, provided for self-learning. LEARN HOW TO ANSWER the QUESTIONS; memorization of answers won t help. All answers are in the textbook or lecture. Instructors can provide some clarification
Statistics for Psychology
Statistics for Psychology SIXTH EDITION CHAPTER 3 Some Key Ingredients for Inferential Statistics Some Key Ingredients for Inferential Statistics Psychologists conduct research to test a theoretical principle
Section I: Multiple Choice Select the best answer for each question. a) 8 b) 9 c) 10 d) 99 e) None of these
Chapter 14 (Chi Square) AP Statistics Practice Test (TPS- 4 p733) Section I: Multiple Choice Select the best answer for each question. 1. A Chi- square goodness- of- fit test is used to test whether a
Handout 16: Opinion Polls, Sampling, and Margin of Error
Opinion polls involve conducting a survey to gauge public opinion on a particular issue (or issues). In this handout, we will discuss some ideas that should be considered both when conducting a poll and
ACTIVITY 10 A Little Tacky!
.- -- --- 10 Introduction to Inference ACTIVITY 10 A Little Tacky! Materials: Small box of thumbtacks When you flip a fair coin, it is equally likely to land "heads" or "tails." Do thumbtacks behave in
The Confidence Interval. Finally, we can start making decisions!
The Confidence Interval Finally, we can start making decisions! Reminder The Central Limit Theorem (CLT) The mean of a random sample is a random variable whose sampling distribution can be approximated
Chapter 2 Psychological Research, Methods and Statistics
Chapter 2 Psychological Research, Methods and Statistics Section 1- What is Research? Psychologists must first decide how to approach the research issue. Then psychologists conduct the research in one
STA Module 9 Confidence Intervals for One Population Mean
STA 2023 Module 9 Confidence Intervals for One Population Mean Learning Objectives Upon completing this module, you should be able to: 1. Obtain a point estimate for a population mean. 2. Find and interpret
* Degrees of freedom. * Power. * Effect Size. * Practical Significance. * df. Single Sample t-tests. Assignment: Heiman Chapter 11
Assignment: Heiman Chapter 11 Terms you should know. Single Sample t-tests t-test Single sample t-test * Degrees of freedom * Power * Effect Size * Practical Significance Formulas and Symbols You Should
Section 9.2b Tests about a Population Proportion
Two-Tailed Tests The basketball player problem and the potato problem were both examples of a single sided or one tailed test of significance. The next problem is a situation that involves a two-sided
Statistics and Probability
Statistics and a single count or measurement variable. S.ID.1: Represent data with plots on the real number line (dot plots, histograms, and box plots). S.ID.2: Use statistics appropriate to the shape
Psychologist use statistics for 2 things
Psychologist use statistics for 2 things O Summarize the information from the study/experiment O Measures of central tendency O Mean O Median O Mode O Make judgements and decisions about the data O See
(a) 50% of the shows have a rating greater than: impossible to tell
q 1. Here is a histogram of the Distribution of grades on a quiz. How many students took the quiz? What percentage of students scored below a 60 on the quiz? (Assume left-hand endpoints are included in
Applied Statistical Analysis EDUC 6050 Week 4
Applied Statistical Analysis EDUC 6050 Week 4 Finding clarity using data Today 1. Hypothesis Testing with Z Scores (continued) 2. Chapters 6 and 7 in Book 2 Review! = $ & '! = $ & ' * ) 1. Which formula
Outline. Chapter 3: Random Sampling, Probability, and the Binomial Distribution. Some Data: The Value of Statistical Consulting
Outline Chapter 3: Random Sampling, Probability, and the Binomial Distribution Part I Some Data Probability and Random Sampling Properties of Probabilities Finding Probabilities in Trees Probability Rules
Motor Programs Lab. 1. Record your reaction and movement time in ms for each trial on the individual data Table 1 below. Table I: Individual Data RT
Motor Programs Lab Introduction. This lab will simulate an important experiment performed by Henry and Rogers (1960). The task involved the subject responding to an external signal then executing a simple,
Chapter 14. Inference for Regression Inference about the Model 14.1 Testing the Relationship Signi!cance Test Practice
Chapter 14 Inference for Regression Our!nal topic of the year involves inference for the regression model. In Chapter 3 we learned how to!nd the Least Squares Regression Line for a set of bivariate data.
Student Performance Q&A:
Student Performance Q&A: 2009 AP Statistics Free-Response Questions The following comments on the 2009 free-response questions for AP Statistics were written by the Chief Reader, Christine Franklin of
CHAPTER - 6 STATISTICAL ANALYSIS. This chapter discusses inferential statistics, which use sample data to
CHAPTER - 6 STATISTICAL ANALYSIS 6.1 Introduction This chapter discusses inferential statistics, which use sample data to make decisions or inferences about population. Populations are group of interest
CHAPTER 3 Describing Relationships
CHAPTER 3 Describing Relationships 3.1 Scatterplots and Correlation The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers Reading Quiz 3.1 True/False 1.
04/12/2014. Research Methods in Psychology. Chapter 6: Independent Groups Designs. What is your ideas? Testing
Research Methods in Psychology Chapter 6: Independent Groups Designs 1 Why Psychologists Conduct Experiments? What is your ideas? 2 Why Psychologists Conduct Experiments? Testing Hypotheses derived from
MATH 183 Test 2 Review Problems
MATH 183 Test 2 Review Problems 1. A Nationwide Math Assessment Test has a maximum score of 100 points. To be proficient, a student needs a minimum score of 40 points. Suppose you want a 98% confidence
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?
Inferential Statistics: An Introduction. What We Will Cover in This Section. General Model. Population. Sample
Inferential Statistics: An Introduction 10/13/2003 P225 Inferential Statistics 1 What We Will Cover in This Section Introduction. Probability and the Normal Curve. Probability and Sampling Means. The Z-test.
- Decide on an estimator for the parameter. - Calculate distribution of estimator; usually involves unknown parameter
General Confidence Intervals 1 - Decide on an estimator for the parameter - Calculate distribution of estimator; usually involves unknown parameter - Convert a confidence statement about where the estimate
Statistical Significance, Effect Size, and Practical Significance Eva Lawrence Guilford College October, 2017
Statistical Significance, Effect Size, and Practical Significance Eva Lawrence Guilford College October, 2017 Definitions Descriptive statistics: Statistical analyses used to describe characteristics of
Chapter 2 Organizing and Summarizing Data. Chapter 3 Numerically Summarizing Data. Chapter 4 Describing the Relation between Two Variables
Tables and Formulas for Sullivan, Fundamentals of Statistics, 4e 014 Pearson Education, Inc. Chapter Organizing and Summarizing Data Relative frequency = frequency sum of all frequencies Class midpoint:
Chapter 3: Describing Relationships
Chapter 3: Describing Relationships Objectives: Students will: Construct and interpret a scatterplot for a set of bivariate data. Compute and interpret the correlation, r, between two variables. Demonstrate
UNIT 4 ALGEBRA II TEMPLATE CREATED BY REGION 1 ESA UNIT 4
UNIT 4 ALGEBRA II TEMPLATE CREATED BY REGION 1 ESA UNIT 4 Algebra II Unit 4 Overview: Inferences and Conclusions from Data In this unit, students see how the visual displays and summary statistics they
THE DIVERSITY OF SAMPLES FROM THE SAME POPULATION
CHAPTER 19 THE DIVERSITY OF SAMPLES FROM THE SAME POPULATION Narrative: Bananas Suppose a researcher asks the question: What is the average weight of bananas selected for purchase by customers in grocery
Introduction to Reliability
Reliability Thought Questions: How does/will reliability affect what you do/will do in your future job? Which method of reliability analysis do you find most confusing? Introduction to Reliability What
Psych 1Chapter 2 Overview
Psych 1Chapter 2 Overview After studying this chapter, you should be able to answer the following questions: 1) What are five characteristics of an ideal scientist? 2) What are the defining elements of
14.1: Inference about the Model
14.1: Inference about the Model! When a scatterplot shows a linear relationship between an explanatory x and a response y, we can use the LSRL fitted to the data to predict a y for a given x. However,
AP Psych - Stat 1 Name Period Date. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
AP Psych - Stat 1 Name Period Date MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) In a set of incomes in which most people are in the $15,000
Chapter 2--Norms and Basic Statistics for Testing
Chapter 2--Norms and Basic Statistics for Testing Student: 1. Statistical procedures that summarize and describe a series of observations are called A. inferential statistics. B. descriptive statistics.
Constructing a Bivariate Table:
Introduction Bivariate Analysis: A statistical method designed to detect and describe the relationship between two nominal or ordinal variables (typically independent and dependent variables). Cross-Tabulation:
2 Critical thinking guidelines
What makes psychological research scientific? Precision How psychologists do research? Skepticism Reliance on empirical evidence Willingness to make risky predictions Openness Precision Begin with a Theory
AP Psych - Stat 2 Name Period Date. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
AP Psych - Stat 2 Name Period Date MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) In a set of incomes in which most people are in the $15,000
SECTION I Number of Questions 15 Percent of Total Grade 50
AP Stats Chap 23-25 Practice Test Name Pd SECTION I Number of Questions 15 Percent of Total Grade 50 Directions: Solve each of the following problems, using the available space (or extra paper) for scratchwork.
Statistical inference provides methods for drawing conclusions about a population from sample data.
Chapter 14 Tests of Significance Statistical inference provides methods for drawing conclusions about a population from sample data. Two of the most common types of statistical inference: 1) Confidence
SCATTER PLOTS AND TREND LINES
1 SCATTER PLOTS AND TREND LINES LEARNING MAP INFORMATION STANDARDS 8.SP.1 Construct and interpret scatter s for measurement to investigate patterns of between two quantities. Describe patterns such as
Never P alone: The value of estimates and confidence intervals
Never P alone: The value of estimates and confidence Tom Lang Tom Lang Communications and Training International, Kirkland, WA, USA Correspondence to: Tom Lang 10003 NE 115th Lane Kirkland, WA 98933 USA
Psychology Research Process
Psychology Research Process Logical Processes Induction Observation/Association/Using Correlation Trying to assess, through observation of a large group/sample, what is associated with what? Examples:
Statistical Methods Exam I Review
Statistical Methods Exam I Review Professor: Dr. Kathleen Suchora SI Leader: Camila M. DISCLAIMER: I have created this review sheet to supplement your studies for your first exam. I am a student here at
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
STATS8: Introduction to Biostatistics. Overview. Babak Shahbaba Department of Statistics, UCI
STATS8: Introduction to Biostatistics Overview Babak Shahbaba Department of Statistics, UCI The role of statistical analysis in science This course discusses some biostatistical methods, which involve
A- Attack the Prompt
A- Attack the Prompt Circle the predicate(s): verb(s) acting like verbs. Box the subject (s) doer of predicate-(subjects cannot be in a prepositional phrase) and/or the object receiver of predicate. Underline
Comparing multiple proportions
Comparing multiple proportions February 24, 2017 psych10.stanford.edu Announcements / Action Items Practice and assessment problem sets will be posted today, might be after 5 PM Reminder of OH switch today
WDHS Curriculum Map Probability and Statistics. What is Statistics and how does it relate to you?
WDHS Curriculum Map Probability and Statistics Time Interval/ Unit 1: Introduction to Statistics 1.1-1.3 2 weeks S-IC-1: Understand statistics as a process for making inferences about population parameters
"Homegrown" Exercises around M&M Chapter 6-1- Help a journalist to be "statistically correct" age-related prevalence, and conflicting evidence exists in favor of the mortality hypothesis. We compared mortality