AP Statistics Summer Packet 2016

Size: px
Start display at page:

Download "AP Statistics Summer Packet 2016"

Transcription

1 AP Statistics Summer Packet 2016 If you have any questions regarding the expectations or instructions for this packet, please Part 1 Directions: Please define the following terms using your book or other resources. Populations: Samples: Census: Sample Survey: Sampling Methods Simple random: Stratified random: Cluster sampling: Experiment: Experimental units:

2 Experimental subjects: Observational study: Explanatory variables: Factors: Levels: Treatments: Response variable: Principles of experimental design Control: Randomization: Replication: Blind/double-blind: Placebo effect:

3 Confounding variable: Completely randomized design: Matched pairs design (blocks of size 2): Blocking, blocks, randomized block design: Generalizability of results types of conclusions and scope of inference: Descriptive statistics: Inferential statistics: Categorical data: Numerical data: Discrete numerical data:

4 Continuous numerical data: Univariate, bivariate, and multivariate data: Part 2 Directions: Review the definition and differences between an observational study and an experiment. Then find two articles from a newspaper, magazine, or credible online source. One article must be about an experiment and one must be about an observational study. Then answer the first set of questions regarding the observational study article and the second set of questions regarding the experiment article. If you have any questions on the terminology, refer to your definitions in Part 1. Be sure to record where and when you found the article and attach the articles to this packet. Be prepared to discuss your articles once classes begin. Observational Study Questions: 1) Briefly describe the study. 2) What was the population? 3) Describe the sample. Be sure to indicate the sample size. 4) Is there a confounding factor? If so, describe or explain that factor.

5 5) What was the conclusion of this study? 6) Do you have any concerns associated with this study that you have not addressed in your answers to the questions above? If so, what are they? Experiment Questions: 1) Briefly describe the experiment. 2) What was the response variable? 3) What was the population? 4) Describe the sample. Be sure to indicate the sample size. 5) How were experimental units assigned to treatment groups?

6 6) Was there a placebo group? If not, should there have been one or is there a good reason not to have one? 7) Was the experiment run blind, double blind, or neither? Explain. 8) What were the factors (equivalent to explanatory variables) used in the experiment? 9) Identify the levels of each factor. 10) What was the conclusion of this study? 11) Do you have any concerns associated with this study that you have not addressed in your answers to the questions above? If so, what are they?

7 Part 3 Directions: Watch the following videos. There are also problems to complete on the same page as the videos in order to enhance your understanding, but they are not required. On the following site, watch the videos Graphing Data and Other Types of Graphs Now complete the following problems.

8

9 Part 4 Directions: Watch the following videos Now complete the following problems. Show work when appropriate. 1. There are 8 people in a room. If everyone shakes everyone else s hand exactly once, how many handshakes occur?

10 2. You have 5 reindeer, Gloopin, Quentin, Prancer, Balthazar, and Rudy, and you want to have 3 fly your sled. You always have your reindeer fly in a single-file line. How many different ways can you arrange your reindeer? 3. You just got a free ticket for a boat ride, and you can bring along 4 friends. Unfortunately, you have 5 friends who want to come along. How many different groups of friends could you take with you? 4. You are given two 6-sided dice to roll. For a given roll, what is the probability that the dice add to 6 or less? 5. A fair 6-sided die is rolled. What is the probability that the result is more than 4?

11

Understandable Statistics

Understandable Statistics Understandable Statistics correlated to the Advanced Placement Program Course Description for Statistics Prepared for Alabama CC2 6/2003 2003 Understandable Statistics 2003 correlated to the Advanced Placement

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

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

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

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%

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

More information

CHAPTER 4 Designing Studies

CHAPTER 4 Designing Studies CHAPTER 4 Designing Studies 4.2 Experiments The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers Experiments Learning Objectives After this section, you

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

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

04/12/2014. Research Methods in Psychology. Chapter 6: Independent Groups Designs. What is your ideas? Testing

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

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

STATISTICS & PROBABILITY

STATISTICS & PROBABILITY STATISTICS & PROBABILITY LAWRENCE HIGH SCHOOL STATISTICS & PROBABILITY CURRICULUM MAP 2015-2016 Quarter 1 Unit 1 Collecting Data and Drawing Conclusions Unit 2 Summarizing Data Quarter 2 Unit 3 Randomness

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

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

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

SPRING GROVE AREA SCHOOL DISTRICT. Course Description. Instructional Strategies, Learning Practices, Activities, and Experiences.

SPRING GROVE AREA SCHOOL DISTRICT. Course Description. Instructional Strategies, Learning Practices, Activities, and Experiences. SPRING GROVE AREA SCHOOL DISTRICT PLANNED COURSE OVERVIEW Course Title: Basic Introductory Statistics Grade Level(s): 11-12 Units of Credit: 1 Classification: Elective Length of Course: 30 cycles Periods

More information

Homework Answers. 1.3 Data Collection and Experimental Design

Homework Answers. 1.3 Data Collection and Experimental Design Homework Answers 2. Ordinal, Interval, Ratio 4. False. You can calculate meaningful differences. 6. False. Data at the ratio level can be put in order. Sep 7 1:51 PM 1.3 Data Collection and Experimental

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

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

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

Strategies for data analysis: I. Observational studies

Strategies for data analysis: I. Observational studies Strategies for data analysis: I. Observational studies Gilda Piaggio UNDP/UNFPA/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction World Health Organization

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

Parts of a STEM Fair Project

Parts of a STEM Fair Project Parts of a STEM Fair Project Question Good science investigations begin with a question. This question often asks what if, how, or what effect something will have. The question should be relevant to the

More information

AP Statistics. Semester One Review Part 1 Chapters 1-5

AP Statistics. Semester One Review Part 1 Chapters 1-5 AP Statistics Semester One Review Part 1 Chapters 1-5 AP Statistics Topics Describing Data Producing Data Probability Statistical Inference Describing Data Ch 1: Describing Data: Graphically and Numerically

More information

Quiz 1 SOLUTIONS. A. Simple Random B. Stratified C. Convenience D. Cluster

Quiz 1 SOLUTIONS. A. Simple Random B. Stratified C. Convenience D. Cluster 1. I recently (March 29) got an e-mail from Lee Thornton, who is the Interim President of CBC. Apparently, this spring CBC will participate in the Community College Survey of Student Engagement (CCSSE),

More information

*Karle Laska s Sections: There is NO class Thursday or Friday! Have a great Valentine s Day weekend!

*Karle Laska s Sections: There is NO class Thursday or Friday! Have a great Valentine s Day weekend! STATISTICS 100 EXAM 1 Spring 2016 PRINT NAME (Last name) (First name) NETID: CIRCLE SECTION: L1 (Laska MWF 12pm) L2 (Laska Tues/Thurs 11am) Write answers in appropriate blanks. When no blanks are provided

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

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

9 research designs likely for PSYC 2100

9 research designs likely for PSYC 2100 9 research designs likely for PSYC 2100 1) 1 factor, 2 levels, 1 group (one group gets both treatment levels) related samples t-test (compare means of 2 levels only) 2) 1 factor, 2 levels, 2 groups (one

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

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

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

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

Statistics is the science of collecting, organizing, presenting, analyzing, and interpreting data to assist in making effective decisions

Statistics is the science of collecting, organizing, presenting, analyzing, and interpreting data to assist in making effective decisions Readings: OpenStax Textbook - Chapters 1 5 (online) Appendix D & E (online) Plous - Chapters 1, 5, 6, 13 (online) Introductory comments Describe how familiarity with statistical methods can - be associated

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

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

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

WDHS Curriculum Map Probability and Statistics. What is Statistics and how does it relate to you?

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

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

Multiple choice questions: 1. Which of the following is a key distinction between well designed experiments and observational studies?

Multiple choice questions: 1. Which of the following is a key distinction between well designed experiments and observational studies? Experimental Design Be sure you understand that: Experiments are studies in which the researcher imposes a treatment on experimental units. Sometimes different treatments are simply compared with one another.

More information

Name AP Statistics UNIT 1 Summer Work Section II: Notes Analyzing Categorical Data

Name AP Statistics UNIT 1 Summer Work Section II: Notes Analyzing Categorical Data Name AP Statistics UNIT 1 Summer Work Date Section II: Notes 1.1 - Analyzing Categorical Data Essential Understanding: How can I represent the data when it is treated as a categorical variable? I. Distribution

More information

Chapter 5: Producing Data Review Sheet

Chapter 5: Producing Data Review Sheet Review Sheet 1. In order to assess the effects of exercise on reducing cholesterol, a researcher sampled 50 people from a local gym who exercised regularly and 50 people from the surrounding community

More information

Design, Sampling, and Probability

Design, Sampling, and Probability STAT 269 Design, Sampling, and Probability Three ways to classify data Quantitative vs. Qualitative Quantitative Data: data that represents counts or measurements, answers the questions how much? or how

More information

Protocol Development: The Guiding Light of Any Clinical Study

Protocol Development: The Guiding Light of Any Clinical Study Protocol Development: The Guiding Light of Any Clinical Study Susan G. Fisher, Ph.D. Chair, Department of Clinical Sciences 1 Introduction Importance/ relevance/ gaps in knowledge Specific purpose of the

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

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

Statistics is the science of collecting, organizing, presenting, analyzing, and interpreting data to assist in making effective decisions

Statistics is the science of collecting, organizing, presenting, analyzing, and interpreting data to assist in making effective decisions Readings: OpenStax Textbook - Chapters 1 5 (online) Appendix D & E (online) Plous - Chapters 1, 5, 6, 13 (online) Introductory comments Describe how familiarity with statistical methods can - be associated

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

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

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

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

Chapter 2 Designing Observational Studies and Experiments Section 3 Observational Studies and Experiments

Chapter 2 Designing Observational Studies and Experiments Section 3 Observational Studies and Experiments Math 167 Pre-Statistics Chapter 2 Designing Observational Studies and Experiments Section 3 Observational Studies and Experiments Objectives 1. Identify the following components of a good study: treatment

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

CHAPTER 1 SAMPLING AND DATA

CHAPTER 1 SAMPLING AND DATA CHAPTER 1 SAMPLING AND DATA 1 In the first chapter we are introduced to several very important statistical terms and concepts. Warning: Notice that in the previous sentence, there is no mention of formulas

More information

AP Psychology -- Chapter 02 Review Research Methods in Psychology

AP Psychology -- Chapter 02 Review Research Methods in Psychology AP Psychology -- Chapter 02 Review Research Methods in Psychology 1. In the opening vignette, to what was Alicia's condition linked? The death of her parents and only brother 2. What did Pennebaker s study

More information

Theory. = an explanation using an integrated set of principles that organizes observations and predicts behaviors or events.

Theory. = an explanation using an integrated set of principles that organizes observations and predicts behaviors or events. Definition Slides Hindsight Bias = the tendency to believe, after learning an outcome, that one would have foreseen it. Also known as the I knew it all along phenomenon. Critical Thinking = thinking that

More information

SAMPLE. 1. Explain how you would carry out an experiment into the effect playing video games has on alertness.

SAMPLE. 1. Explain how you would carry out an experiment into the effect playing video games has on alertness. OCR Research Methods Designing Your Own Investigation In section B (research design and response) of component 1, you will be required to design your own investigation, from a novel source provided. In

More information

CP Statistics Sem 1 Final Exam Review

CP Statistics Sem 1 Final Exam Review Name: _ Period: ID: A CP Statistics Sem 1 Final Exam Review Multiple Choice Identify the choice that best completes the statement or answers the question. 1. A particularly common question in the study

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

THE STATSWHISPERER. Introduction to this Issue. Binary Logistic Regression: The Rock Star of Regression

THE STATSWHISPERER. Introduction to this Issue. Binary Logistic Regression: The Rock Star of Regression Spri ng 2 01 3, V o l u m e 3, I s su e 1 + THE STATSWHISPERER The StatsWhisperer Newsletter is published by Dr. William Bannon and the staff at StatsWhisperer. For other resources in learning statistics

More information

Student name: SOCI 420 Advanced Methods of Social Research Fall 2017

Student name: SOCI 420 Advanced Methods of Social Research Fall 2017 SOCI 420 Advanced Methods of Social Research Fall 2017 EXAM 1 RUBRIC Instructor: Ernesto F. L. Amaral, Assistant Professor, Department of Sociology Date: October 12, 2017 (Thursday) Section 903: 9:35 10:50am

More information

Statistics are commonly used in most fields of study and are regularly seen in newspapers, on television, and in professional work.

Statistics are commonly used in most fields of study and are regularly seen in newspapers, on television, and in professional work. I. Introduction and Data Collection A. Introduction to Statistics In this section Basic Statistical Terminology Branches of Statistics Types of Studies Types of Data Levels of Measurement 1. Basic Statistical

More information

Readings: Textbook readings: OpenStax - Chapters 1 4 Online readings: Appendix D, E & F Online readings: Plous - Chapters 1, 5, 6, 13

Readings: Textbook readings: OpenStax - Chapters 1 4 Online readings: Appendix D, E & F Online readings: Plous - Chapters 1, 5, 6, 13 Readings: Textbook readings: OpenStax - Chapters 1 4 Online readings: Appendix D, E & F Online readings: Plous - Chapters 1, 5, 6, 13 Introductory comments Describe how familiarity with statistical methods

More information

DATA ANALYSIS AND INTERPRETATION

DATA ANALYSIS AND INTERPRETATION DCE 3002 Research Methodology DATA ANALYSIS AND INTERPRETATION Dr. Zoharah Omar What is Data Analysis? a process where data collected are analyzed to answer research questions about characteristics relationships,

More information

You can use this app to build a causal Bayesian network and experiment with inferences. We hope you ll find it interesting and helpful.

You can use this app to build a causal Bayesian network and experiment with inferences. We hope you ll find it interesting and helpful. icausalbayes USER MANUAL INTRODUCTION You can use this app to build a causal Bayesian network and experiment with inferences. We hope you ll find it interesting and helpful. We expect most of our users

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

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

Describe what is meant by a placebo Contrast the double-blind procedure with the single-blind procedure Review the structure for organizing a memo

Describe what is meant by a placebo Contrast the double-blind procedure with the single-blind procedure Review the structure for organizing a memo Please note the page numbers listed for the Lind book may vary by a page or two depending on which version of the textbook you have. Readings: Lind 1 11 (with emphasis on chapters 10, 11) Please note chapter

More information

UNIT 3 & 4 PSYCHOLOGY RESEARCH METHODS TOOLKIT

UNIT 3 & 4 PSYCHOLOGY RESEARCH METHODS TOOLKIT UNIT 3 & 4 PSYCHOLOGY RESEARCH METHODS TOOLKIT Prepared by Lucie Young, Carey Baptist Grammar School lucie.young@carey.com.au Credit to Kristy Kendall VCE Psychology research methods workbook for some

More information

Design of Experiments & Introduction to Research

Design of Experiments & Introduction to Research Design of Experiments & Introduction to Research 1 Design of Experiments Introduction to Research Definition and Purpose Scientific Method Research Project Paradigm Structure of a Research Project Types

More information

Myers Psychology for AP* David G. Myers PowerPoint Presentation Slides by Kent Korek Germantown High School Worth Publishers, 2010

Myers Psychology for AP* David G. Myers PowerPoint Presentation Slides by Kent Korek Germantown High School Worth Publishers, 2010 Myers Psychology for AP* David G. Myers PowerPoint Presentation Slides by Kent Korek Germantown High School Worth Publishers, 2010 *AP is a trademark registered and/or owned by the College Board, which

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

Still important ideas

Still important ideas Readings: OpenStax - Chapters 1 11 + 13 & Appendix D & E (online) Plous - Chapters 2, 3, and 4 Chapter 2: Cognitive Dissonance, Chapter 3: Memory and Hindsight Bias, Chapter 4: Context Dependence Still

More information

Basics of Statistical Analy Anal sis Maj Gen (R) Gen (R) Suhaib Suhaib Ahmed, HI(M) Ahmed, HI(M) Genetics Resource Centre (GRC)

Basics of Statistical Analy Anal sis Maj Gen (R) Gen (R) Suhaib Suhaib Ahmed, HI(M) Ahmed, HI(M) Genetics Resource Centre (GRC) Basics of Statistical Analysis Maj Gen (R) Suhaib Ahmed, HI(M) MBBS; MCPS; FCPS; PhD (London) Genetics Resource Centre (GRC) www.grcpk.com Statistics: The Science of Data collection Data presentation ti

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

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

Describe what is meant by a placebo Contrast the double-blind procedure with the single-blind procedure Review the structure for organizing a memo

Describe what is meant by a placebo Contrast the double-blind procedure with the single-blind procedure Review the structure for organizing a memo Business Statistics The following was provided by Dr. Suzanne Delaney, and is a comprehensive review of Business Statistics. The workshop instructor will provide relevant examples during the Skills Assessment

More information

The Nature of Probability and Statistics

The Nature of Probability and Statistics Chapter 1 The Nature of Probability and Statistics Chapter 1 Overview Introduction 1-1 Descriptive and Inferential Statistics 1-2 Variables and Types of Data 1-3 Data Collection & Sampling Techniques 1-4

More information

Midterm Exam MMI 409 Spring 2009 Gordon Bleil

Midterm Exam MMI 409 Spring 2009 Gordon Bleil Midterm Exam MMI 409 Spring 2009 Gordon Bleil Table of contents: (Hyperlinked to problem sections) Problem 1 Hypothesis Tests Results Inferences Problem 2 Hypothesis Tests Results Inferences Problem 3

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

The Beauty and Necessity of Good Research Design

The Beauty and Necessity of Good Research Design Name: 1 Shaw - PSYC& 100 The Beauty and Necessity of Good Research Design 1 The authors say, Research design matters. Why do we need research designs? What do they accomplish for us? Use the case of prefrontal

More information

Review. Chapter 5. Common Language. Ch 3: samples. Ch 4: real world sample surveys. Experiments, Good and Bad

Review. Chapter 5. Common Language. Ch 3: samples. Ch 4: real world sample surveys. Experiments, Good and Bad Review Ch 3: samples Sampling terminology Proportions Margin of error Ch 4: real world sample surveys Questions to ask about a study Errors in sample surveys Concerns about survey questions Probability

More information

Readings: Textbook readings: OpenStax - Chapters 1 11 Online readings: Appendix D, E & F Plous Chapters 10, 11, 12 and 14

Readings: Textbook readings: OpenStax - Chapters 1 11 Online readings: Appendix D, E & F Plous Chapters 10, 11, 12 and 14 Readings: Textbook readings: OpenStax - Chapters 1 11 Online readings: Appendix D, E & F Plous Chapters 10, 11, 12 and 14 Still important ideas Contrast the measurement of observable actions (and/or characteristics)

More information

Lecture Outline. Biost 517 Applied Biostatistics I. Purpose of Descriptive Statistics. Purpose of Descriptive Statistics

Lecture Outline. Biost 517 Applied Biostatistics I. Purpose of Descriptive Statistics. Purpose of Descriptive Statistics Biost 517 Applied Biostatistics I Scott S. Emerson, M.D., Ph.D. Professor of Biostatistics University of Washington Lecture 3: Overview of Descriptive Statistics October 3, 2005 Lecture Outline Purpose

More information

Equality and Diversity Lesson Plan

Equality and Diversity Lesson Plan Health and Wellbeing Experiences and Outcomes: Mental, emotional, social and physical wellbeing EARLY FIRST SECOND THIRD FOURTH I know that friendship, caring, sharing, fairness, equality and love are

More information

27 January EPSY 640 Spring Copyright Robert J. Hall, Ph.D. 1. Independent Dependent Control/Extraneous Intervening.

27 January EPSY 640 Spring Copyright Robert J. Hall, Ph.D. 1. Independent Dependent Control/Extraneous Intervening. Variables Independent Dependent Control/Extraneous Intervening Robert J. Hall Question A recent report concludes that rats given vitamin supplements have better maze-learning scores than rats on a regular

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

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

Who? What? What do you want to know? What scope of the product will you evaluate?

Who? What? What do you want to know? What scope of the product will you evaluate? Usability Evaluation Why? Organizational perspective: To make a better product Is it usable and useful? Does it improve productivity? Reduce development and support costs Designer & developer perspective:

More information

Still important ideas

Still important ideas Readings: OpenStax - Chapters 1 13 & Appendix D & E (online) Plous Chapters 17 & 18 - Chapter 17: Social Influences - Chapter 18: Group Judgments and Decisions Still important ideas Contrast the measurement

More information

LAB ASSIGNMENT 4 INFERENCES FOR NUMERICAL DATA. Comparison of Cancer Survival*

LAB ASSIGNMENT 4 INFERENCES FOR NUMERICAL DATA. Comparison of Cancer Survival* LAB ASSIGNMENT 4 1 INFERENCES FOR NUMERICAL DATA In this lab assignment, you will analyze the data from a study to compare survival times of patients of both genders with different primary cancers. First,

More information

Describe what is meant by a placebo Contrast the double-blind procedure with the single-blind procedure Review the structure for organizing a memo

Describe what is meant by a placebo Contrast the double-blind procedure with the single-blind procedure Review the structure for organizing a memo Please note the page numbers listed for the Lind book may vary by a page or two depending on which version of the textbook you have. Readings: Lind 1 11 (with emphasis on chapters 5, 6, 7, 8, 9 10 & 11)

More information

The essential focus of an experiment is to show that variance can be produced in a DV by manipulation of an IV.

The essential focus of an experiment is to show that variance can be produced in a DV by manipulation of an IV. EXPERIMENTAL DESIGNS I: Between-Groups Designs There are many experimental designs. We begin this week with the most basic, where there is a single IV and where participants are divided into two or more

More information

Examining Relationships Least-squares regression. Sections 2.3

Examining Relationships Least-squares regression. Sections 2.3 Examining Relationships Least-squares regression Sections 2.3 The regression line A regression line describes a one-way linear relationship between variables. An explanatory variable, x, explains variability

More information

Copyright 2014, 2011, and 2008 Pearson Education, Inc. 1-1

Copyright 2014, 2011, and 2008 Pearson Education, Inc. 1-1 1-1 Statistics for Business and Economics Chapter 1 Statistics, Data, & Statistical Thinking 1-2 Contents 1. The Science of Statistics 2. Types of Statistical Applications in Business 3. Fundamental Elements

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

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

3 CONCEPTUAL FOUNDATIONS OF STATISTICS

3 CONCEPTUAL FOUNDATIONS OF STATISTICS 3 CONCEPTUAL FOUNDATIONS OF STATISTICS In this chapter, we examine the conceptual foundations of statistics. The goal is to give you an appreciation and conceptual understanding of some basic statistical

More information

Overview. Goals of Interpretation. Methodology. Reasons to Read and Evaluate

Overview. Goals of Interpretation. Methodology. Reasons to Read and Evaluate Overview Critical Literature Evaluation and Biostatistics Ahl Ashley N. Lewis, PharmD, BCPS Clinical Specialist, Drug Information UNC Hospitals Background Review of basic statistics Statistical tests Clinical

More information

Basic Biostatistics. Chapter 1. Content

Basic Biostatistics. Chapter 1. Content Chapter 1 Basic Biostatistics Jamalludin Ab Rahman MD MPH Department of Community Medicine Kulliyyah of Medicine Content 2 Basic premises variables, level of measurements, probability distribution Descriptive

More information

Sample Exam Questions Psychology 3201 Exam 1

Sample Exam Questions Psychology 3201 Exam 1 Scientific Method Scientific Researcher Scientific Practitioner Authority External Explanations (Metaphysical Systems) Unreliable Senses Determinism Lawfulness Discoverability Empiricism Control Objectivity

More information