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Questions and Answers
In ANOVA, what does the term 'effect size' generally measure?
In ANOVA, what does the term 'effect size' generally measure?
The magnitude of the differences between group means.
What is the primary purpose of post-hoc tests following a significant ANOVA result?
What is the primary purpose of post-hoc tests following a significant ANOVA result?
To determine which specific group means differ significantly from each other.
Name one of the key assumptions of a one-way ANOVA.
Name one of the key assumptions of a one-way ANOVA.
Homogeneity of variance or normality of residuals.
In linear regression, what does the slope of the regression line represent?
In linear regression, what does the slope of the regression line represent?
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What does the R-squared value in linear regression measure?
What does the R-squared value in linear regression measure?
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What is the purpose of testing the significance of a correlation in regression analysis?
What is the purpose of testing the significance of a correlation in regression analysis?
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What is the key difference between a factorial ANOVA with interactions and one without?
What is the key difference between a factorial ANOVA with interactions and one without?
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In the context of ANOVA, what does 'contrasts' refer to?
In the context of ANOVA, what does 'contrasts' refer to?
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What is the author's primary reason for making the soft copy of the book freely available?
What is the author's primary reason for making the soft copy of the book freely available?
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Where can a user obtain a free soft copy of the book?
Where can a user obtain a free soft copy of the book?
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What is the stated benefit of using the book for students in the DRIP and DRIP:A classes in 2013?
What is the stated benefit of using the book for students in the DRIP and DRIP:A classes in 2013?
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Besides being free, what are the other benefits of the electronic version?
Besides being free, what are the other benefits of the electronic version?
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Where can a user obtain a hard copy of the book?
Where can a user obtain a hard copy of the book?
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What version number indicates the book is considered a work in progress?
What version number indicates the book is considered a work in progress?
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How many times was the book tested, prior to version 0.3?
How many times was the book tested, prior to version 0.3?
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In what context does the author say that they would endorse the book?
In what context does the author say that they would endorse the book?
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Based on the data provided, which department admitted the highest percentage of applicants overall?
Based on the data provided, which department admitted the highest percentage of applicants overall?
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In the provided data, which department had the smallest difference between male and female admission rates?
In the provided data, which department had the smallest difference between male and female admission rates?
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If you were ranking these departments in terms of total number of female applicants, which department would be in first place?
If you were ranking these departments in terms of total number of female applicants, which department would be in first place?
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According to the information provided, do the departments with the highest admission rates also have the most applicants?
According to the information provided, do the departments with the highest admission rates also have the most applicants?
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The text mentions a paradox occurring between departmental admission rates and the overall university rate. What is the name of the paradox discussed?
The text mentions a paradox occurring between departmental admission rates and the overall university rate. What is the name of the paradox discussed?
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What is the main reason that, in this example, the overall admission rate for females is lower than males, even though most departments had higher admission rates for females?
What is the main reason that, in this example, the overall admission rate for females is lower than males, even though most departments had higher admission rates for females?
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If a student wanted to maximize their chances of admission, according to the data, to which department should they apply?
If a student wanted to maximize their chances of admission, according to the data, to which department should they apply?
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Based on male application numbers, which is the second 'easiest' department to get into? (Where 'easiest' is defined as the department with the highest admission rates.)
Based on male application numbers, which is the second 'easiest' department to get into? (Where 'easiest' is defined as the department with the highest admission rates.)
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What is the primary target audience of the textbook described in the text?
What is the primary target audience of the textbook described in the text?
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Besides standard statistical topics, what programming language does the textbook cover?
Besides standard statistical topics, what programming language does the textbook cover?
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What is one of the statistical debates discussed in the textbook?
What is one of the statistical debates discussed in the textbook?
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What is the main benefit of teaching students R, according to the author?
What is the main benefit of teaching students R, according to the author?
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What is one of the more advanced topics covered in this introductory statistics text?
What is one of the more advanced topics covered in this introductory statistics text?
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What is one benefit of learning probability theory in detail?
What is one benefit of learning probability theory in detail?
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What is one data analysis skill students can take to an employer?
What is one data analysis skill students can take to an employer?
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What is the author's attitude towards the textbook's completeness?
What is the author's attitude towards the textbook's completeness?
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Why is it said that social scientists rely heavily on statistics?
Why is it said that social scientists rely heavily on statistics?
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What is one fundamental reason a psychological researcher should understand basic statistics?
What is one fundamental reason a psychological researcher should understand basic statistics?
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Why can't a psychological researcher completely rely on statisticians?
Why can't a psychological researcher completely rely on statisticians?
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What is one practical reason that psychological researchers should be able to do basic statistics?
What is one practical reason that psychological researchers should be able to do basic statistics?
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What is one reason why good psychological researchers need to understand statistical analyses presented in papers?
What is one reason why good psychological researchers need to understand statistical analyses presented in papers?
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Why are the fees for statistics designated as a 'national priority' category in Australia?
Why are the fees for statistics designated as a 'national priority' category in Australia?
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In the context of psychological research, what does the text mean when it refers to 'cruel facts'?
In the context of psychological research, what does the text mean when it refers to 'cruel facts'?
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In one sentence, summarize the sentiment behind the saying, 'if your experiment needs statistics, you should have done a better experiment'.
In one sentence, summarize the sentiment behind the saying, 'if your experiment needs statistics, you should have done a better experiment'.
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What is the largest age, in years, a human could be?
What is the largest age, in years, a human could be?
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What are three different options for how someone might answer the question 'Do you like anchovies?'
What are three different options for how someone might answer the question 'Do you like anchovies?'
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What are the two most typical chromosomal genders?
What are the two most typical chromosomal genders?
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Can someone's self-identified gender differ from their chromosomal gender?
Can someone's self-identified gender differ from their chromosomal gender?
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What is a typical way that developmental psychologists measure the age of a child?
What is a typical way that developmental psychologists measure the age of a child?
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What is the fundamental assumption when we usually refer to a persons age?
What is the fundamental assumption when we usually refer to a persons age?
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Why might using 'time since birth' not be the most scientifically accurate way of measuring age?
Why might using 'time since birth' not be the most scientifically accurate way of measuring age?
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What is one reason why the concept of 'age' isn't as precise as one might initially think?
What is one reason why the concept of 'age' isn't as precise as one might initially think?
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Flashcards
ANOVA
ANOVA
ANOVA stands for Analysis of Variance, used to compare means across multiple groups.
Effect Size
Effect Size
A quantitative measure of the strength of a phenomenon or relationship in ANOVA or regression.
Post Hoc Tests
Post Hoc Tests
Statistical tests conducted after ANOVA to find specific group differences.
Homogeneity of Variance
Homogeneity of Variance
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Normality Assumption
Normality Assumption
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Linear Regression Model
Linear Regression Model
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Multiple Linear Regression
Multiple Linear Regression
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Assumptions of Regression
Assumptions of Regression
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Version 0.3
Version 0.3
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Free soft copies
Free soft copies
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Print-on-demand service
Print-on-demand service
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Undergraduate research methods classes
Undergraduate research methods classes
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Tested notes
Tested notes
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Adapt content
Adapt content
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Educational endorsement
Educational endorsement
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Feedback from students
Feedback from students
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Introductory Statistics
Introductory Statistics
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Descriptive Statistics
Descriptive Statistics
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Hypothesis Testing
Hypothesis Testing
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Bayesian Methods
Bayesian Methods
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CRAN
CRAN
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Type I Error
Type I Error
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Type II Error
Type II Error
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Admission Figures
Admission Figures
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Higher Female Admission Rates
Higher Female Admission Rates
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Overall Admission Rate
Overall Admission Rate
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Department Rankings
Department Rankings
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Department Admission Percentages
Department Admission Percentages
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Simpson's Paradox
Simpson's Paradox
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Males vs. Females in Applications
Males vs. Females in Applications
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Admission Trends by Department
Admission Trends by Department
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Need for Statistics
Need for Statistics
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Research Design and Stats
Research Design and Stats
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Understanding Literature
Understanding Literature
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Practicality of Statistics
Practicality of Statistics
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Statistical Competence
Statistical Competence
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Statistical Analysis Costs
Statistical Analysis Costs
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Psychological Research Problems
Psychological Research Problems
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Importance of Stats in Psychology
Importance of Stats in Psychology
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Upper Bound of Age
Upper Bound of Age
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Chromosomal Gender
Chromosomal Gender
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Klinefelter's Syndrome
Klinefelter's Syndrome
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Self-Identified Gender
Self-Identified Gender
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Age Measurement
Age Measurement
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Developmental Psychology
Developmental Psychology
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Social Convention of Birth
Social Convention of Birth
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Scientific Perspective on Age
Scientific Perspective on Age
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Study Notes
Learning Statistics with R
- A tutorial for psychology students and other beginners
- Version 0.6
- Author: Danielle Navarro
- University of New South Wales
- Email: [email protected]
- Website: http://compcogscisydney.org/learning-statistics-with-r
Overview
- Covers introductory statistics, using R statistical software
- Introduces R, data manipulation, and scripting
- Discusses descriptive statistics, graphing, probability theory, sampling and estimation, and null hypothesis testing
- Includes analysis of contingency tables, t-tests, ANOVAs, and regression
- Includes Bayesian statistics at the end of the book
License Information
- Creative Commons BY-SA license (version 4.0)
- Allows reuse, remixing, revision, and redistribution
- Requires appropriate credit to the authors
Table of Contents (Partial)
-
I. Background
- Why do we learn statistics?
- Psychology of statistics
- Simpson's paradox
- Statistics in psychology
- Statistics in everyday life
- A brief introduction to research design
- Introduction to psychological measurement
- Scales of measurement
- Assessing the reliability of a measurement
- The "role" of variables: predictors and outcomes
- Experimental and non-experimental research
- Why do we learn statistics?
-
II. An introduction to R
- Getting started with R
- Installing R
- Typing commands at the R console
- Additional R concepts
- Getting started with R
-
III. Working with data
- Descriptive statistics
- Measures of central tendency
- Measures of variability
- Skew and kurtosis
- Descriptive statistics separately for each group
- Drawing graphs
- Overview of R graphics
- Introduction to plotting
- Histograms
- Stem and leaf plots
- Boxplots
- Scatterplots
- Descriptive statistics
-
IV. Statistical theory
- Introduction to probability
- How are probability and statistics different?
- Basic probability theory
- The binomial distribution
- The normal distribution
- Other useful distributions
- Estimating unknown quantities from a sample
- Samples, populations and sampling
- The law of large numbers
- Sampling distributions and the central limit theorem
- Estimating population parameters
- Estimating confidence intervals
- Hypothesis testing
- A menagerie of hypotheses
- Two types of errors
- Test statistics and sampling distributions
- Making decisions
- The p-value of a test
- Effect size, sample size and power
- Reporting the results of a hypothesis test
- Some issues to consider
- Introduction to probability
-
V. Statistical tools
- Categorical data analysis
- The x² goodness-of-fit test
- The x² test of independence
- The continuity correction
- Categorical data analysis
-
VI. Endings, alternatives and prospects
- Bayesian statistics
- Probabilistic reasoning by rational agents
- Bayesian hypothesis tests
- Bayesian analysis of contingency tables
- Bayesian t-tests
- Bayesian regression
- Bayesian ANOVA
- Bayesian statistics
-
VII. Epilogue
-
VIII. References
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Description
Test your knowledge on key concepts related to ANOVA and linear regression. This quiz covers effect size, post-hoc tests, and the assumptions of one-way ANOVA. Dive into the details of regression analysis and understand the significance of correlation in statistical studies.