Statistics for the Social Sciences
by Bill Pelz
- Publisher
- Herkimer College (SUNY)
- Subjects
- Statistics
- Licence
- CC BY 4.0, as LibreTexts states it
- Who can read
- Tweens profiles and older, judged from its title and subjects
Contents
LibreTexts writes equations in TeX, and here they show as TeX; the PDF has them typeset.
- Front Matter
- TitlePage
- InfoPage
- Table of Contents
- Licensing
- 1: Types of Statistical Studies and Producing Data
- 1.1: Why It Matters- Types of Statistical Studies and Producing Data
- 1.2: Introduction- Types of Statistical Studies
- 1.3: Types of Statistical Studies (1 of 4)
- 1.4: Types of Statistical Studies (2 of 4)
- 1.5: Types of Statistical Studies (4 of 4)
- 1.6: Types of Statistical Studies (3 of 4)
- 1.7: Introduction- Sampling
- 1.8: Sampling (1 of 2)
- 1.9: Sampling (2 of 2)
- 1.10: Introduction- Conducting Experiments
- 1.11: Conducting Experiments (1 of 2)
- 1.12: Conducting Experiments (2 of 2)
- 1.13: Putting It Together- Types of Statistical Studies and Producing Data
- 2: Summarizing Data Graphically and Numerically
- 2.1: Why It Matters- Summarizing Data Graphically and Numerically
- 2.2: Introduction- Categorical vs. Quantitative Data
- 2.3: Categorical vs. Quantitative Data
- 2.4: Introduction- Dotplots
- 2.5: Dotplots (1 of 2)
- 2.6: Dotplots (2 of 2)
- 2.7: Introduction- Histograms
- 2.8: Histograms (1 of 4)
- 2.9: Histograms (2 of 4)
- 2.10: Histograms (3 of 4)
- 2.11: Histograms (4 of 4)
- 2.12: Introduction- Measures of Center
- 2.13: Mean and Median (1 of 2)
- 2.14: Mean and Median (2 of 2)
- 2.15: Introduction- Measures of Spread
- 2.16: Interquartile Range and Boxplots (1 of 3)
- 2.17: Interquartile Range and Boxplots (2 of 3)
- 2.18: Interquartile Range and Boxplots (3 of 3)
- 2.19: Introduction- Describing a Distribution
- 2.20: Standard Deviation (1 of 4)
- 2.21: Standard Deviation (2 of 4)
- 2.22: Standard Deviation (3 of 4)
- 2.23: Standard Deviation (4 of 4)
- 2.24: Putting It Together- Summarizing Data Graphically and Numerically
- 2.25: StatTutor- Drinking Habits of College Students
- 2.26: Assignment- Histogram
- 2.27: Assignment- Five-Number Summary
- 2.28: Assignment- Boxplot
- 2.29: Assignment- Standard Deviation
- 3: Examining Relationships- Quantitative Data
- 3.1: Why It Matters- Examining Relationships- Quantitative Data
- 3.2: Introduction- Scatterplots
- 3.3: Scatterplots (1 of 5)
- 3.4: Scatterplots (2 of 5)
- 3.5: Scatterplots (3 of 5)
- 3.6: Scatterplots (4 of 5)
- 3.7: Scatterplots (5 of 5)
- 3.8: Introduction- Linear Relationships
- 3.9: Linear Relationships (1 of 4)
- 3.10: Linear Relationships (2 of 4)
- 3.11: Linear Relationships (3 of 4)
- 3.12: Linear Relationships (4 of 4)
- 3.13: Introduction- Association vs Causation
- 3.14: Causation and Lurking Variables (1 of 2)
- 3.15: Causation and Lurking Variables (2 of 2)
- 3.16: Introduction- Linear Regression
- 3.17: Linear Regression (1 of 4)
- 3.18: Linear Regression (2 of 4)
- 3.19: Linear Regression (3 of 4)
- 3.20: Linear Regression (4 of 4)
- 3.21: Introduction- Assessing the Fit of a Line
- 3.22: Assessing the Fit of a Line (1 of 4)
- 3.23: Assessing the Fit of a Line (2 of 4)
- 3.24: Assessing the Fit of a Line (3 of 4)
- 3.25: Assessing the Fit of a Line (4 of 4)
- 3.26: Putting It Together- Examining Relationships- Quantitative Data
- 3.27: StatTutor- Academic Performance
- 3.28: Assignment- Scatterplot
- 3.29: Assignment- Linear Relationships
- 3.30: Assignment- Linear Regression
- 4: Nonlinear Models
- 4.1: Why It Matters- Nonlinear Models
- 4.2: Introduction- Exponential Relationships
- 4.3: Exponential Relationships (1 of 6)
- 4.4: Exponential Relationships (2 of 6)
- 4.5: Exponential Relationships (3 of 6)
- 4.6: Exponential Relationships (4 of 6)
- 4.7: Exponential Relationships (5 of 6)
- 4.8: Exponential Relationships (6 of 6)
- 4.9: Putting It Together- Nonlinear Models
- 5: Relationships in Categorical Data with Intro to Probability
- 5.1: Why It Matters- Relationships in Categorical Data with Intro to Probability
- 5.2: Introduction- Two-Way Tables
- 5.3: Two-Way Tables (1 of 5)
- 5.4: Two-Way Tables (2 of 5)
- 5.5: Two-Way Tables (3 of 5)
- 5.6: Two-Way Tables (4 of 5)
- 5.7: Two-Way Tables (5 of 5)
- 5.8: Putting It Together- Relationships in Categorical Data with Intro to Probability
- 5.9: StatTutor- Treating Depression- A Randomized Clinical Trial
- 6: Probability and Probability Distributions
- 6.1: Why It Matters- Probability and Probability Distributions
- 6.2: Introduction- Another Look at Probability
- 6.3: Another Look at Probability (1 of 2)
- 6.4: Another Look at Probability (2 of 2)
- 6.5: Introduction- Probability Rules
- 6.6: Probability Rules (1 of 3)
- 6.7: Probability Rules (2 of 3)
- 6.8: Probability Rules (3 of 3)
- 6.9: Introduction- Discrete Probability Distribution
- 6.10: Discrete Random Variables (1 of 5)
- 6.11: Discrete Random Variables (2 of 5)
- 6.12: Discrete Random Variables (3 of 5)
- 6.13: Discrete Random Variables (4 of 5)
- 6.14: Discrete Random Variables (5 of 5)
- 6.15: Introduction- Continuous Probability Distribution
- 6.16: Continuous Probability Distribution (1 of 2)
- 6.17: Continuous Probability Distribution (2 of 2)
- 6.18: Introduction- Normal Random Variables
- 6.19: Normal Random Variables (1 of 6)
- 6.20: Normal Random Variables (2 of 6)
- 6.21: Normal Random Variables (3 of 6)
- 6.22: Normal Random Variables (4 of 6)
- 6.23: Normal Random Variables (5 of 6)
- 6.24: Normal Random Variables (6 of 6)
- 6.25: Putting It Together- Probability and Probability Distribution
- 7: Linking Probability to Statistical Inference
- 7.1: Why It Matters- Linking Probability to Statistical Inference
- 7.2: Parameters vs. Statistics
- 7.3: Introduction- Statistical Inference
- 7.4: Distribution of Sample Proportions (1 of 6)
- 7.5: Distribution of Sample Proportions (2 of 6)
- 7.6: Distribution of Sample Proportions (3 of 6)
- 7.7: Distribution of Sample Proportions (4 of 6)
- 7.8: Distribution of Sample Proportions (5 of 6)
- 7.9: Distribution of Sample Proportions (6 of 6)
- 7.10: Introduction- Distribution of Sample Proportions
- 7.11: Statistical Inference (1 of 3)
- 7.12: Statistical Inference (2 of 3)
- 7.13: Statistical Inference (3 of 3)
- 7.14: Putting It Together- Linking Probability to Statistical Inference
- 8: Inference for One Proportion
- 8.1: Why It Matters- Inference for One Proportion
- 8.2: Introduction- Estimating a Population Proportion
- 8.3: Estimating a Population Proportion (1 of 3)
- 8.4: Estimating a Population Proportion (2 of 3)
- 8.5: Estimating a Population Proportion (3 of 3)
- 8.6: Introduction- Hypothesis Testing
- 8.7: Hypothesis Testing (1 of 5)
- 8.8: Hypothesis Testing (2 of 5)
- 8.9: Hypothesis Testing (4 of 5)
- 8.10: Hypothesis Testing (3 of 5)
- 8.11: Hypothesis Testing (5 of 5)
- 8.12: Introduction- Hypothesis Test for a Population Proportion
- 8.13: Hypothesis Test for a Population Proportion (1 of 3)
- 8.14: Hypothesis Test for a Population Proportion (2 of 3)
- 8.15: Hypothesis Test for a Population Proportion (3 of 3)
- 8.16: Putting It Together- Inference for One Proportion
- 8.17: StatTutor- Cell Phones
- 8.18: Assignment- Hypothesis Testing for the Population Proportion p
- 9: Inference for Two Proportions
- 9.1: Why It Matters- Inference for Two Proportions
- 9.2: Introduction- Distribution of Differences in Sample Proportions
- 9.3: Distribution of Differences in Sample Proportions (1 of 5)
- 9.4: Distribution of Differences in Sample Proportions (2 of 5)
- 9.5: Distribution of Differences in Sample Proportions (3 of 5)
- 9.6: Distribution of Differences in Sample Proportions (4 of 5)
- 9.7: Distribution of Differences in Sample Proportions (5 of 5)
- 9.8: Introduction- Estimate the Difference Between Population Proportions
- 9.9: Estimate the Difference between Population Proportions (1 of 3)
- 9.10: Estimate the Difference between Population Proportions (2 of 3)
- 9.11: Estimate the Difference between Population Proportions (3 of 3)
- 9.12: Introduction- Hypothesis Test for Difference in Two Population Proportions
- 9.13: Hypothesis Test for Difference in Two Population Proportions (1 of 6)
- 9.14: Hypothesis Test for Difference in Two Population Proportions (2 of 6)
- 9.15: Hypothesis Test for Difference in Two Population Proportions (3 of 6)
- 9.16: Hypothesis Test for Difference in Two Population Proportions (4 of 6)
- 9.17: Hypothesis Test for Difference in Two Population Proportions (5 of 6)
- 9.18: Hypothesis Test for Difference in Two Population Proportions (6 of 6)
- 9.19: Putting It Together- Inference for Two Proportions
- 9.20: Assignment- A Statistical Investigation using Software
- 10: Inference for Means
- 10.1: Why It Matters- Inference for Means
- 10.2: Introduction- Distribution of Sample Means
- 10.3: Distribution of Sample Means (1 of 4)
- 10.4: Distribution of Sample Means (2 of 4)
- 10.5: Distribution of Sample Means (3 of 4)
- 10.6: Distribution of Sample Means (4 of 4)
- 10.7: Introduction- Estimating a Population Mean
- 10.8: Estimating a Population Mean (1 of 3)
- 10.9: Estimating a Population Mean (2 of 3)
- 10.10: Estimating a Population Mean (3 of 3)
- 10.11: Introduction- Hypothesis Test for a Population Mean
- 10.12: Hypothesis Test for a Population Mean (1 of 5)
- 10.13: Hypothesis Test for a Population Mean (2 of 5)
- 10.14: Hypothesis Test for a Population Mean (3 of 5)
- 10.15: Hypothesis Test for a Population Mean (4 of 5)
- 10.16: Hypothesis Test for a Population Mean (5 of 5)
- 10.17: Introduction- Inference for a Difference in Two Population Means
- 10.18: Inference for a Difference in Two Population Means
- 10.19: Hypothesis Test for a Difference in Two Population Means (1 of 2)
- 10.20: Hypothesis Test for a Difference in Two Population Means (2 of 2)
- 10.21: Estimating the Difference in Two Population Means
- 10.22: Putting It Together- Inference for Means
- 10.23: StatTutor- Analyzing Data From a Course’s Grade Book
- 10.24: Assignment- Distribution of Sample Means
- 10.25: Assignment- Connection between Confidence Intervals and Sampling Distributions
- 10.26: Assignment- Hypothesis Testing for the Population Mean
- 10.27: Assignment- Matched Pairs
- 10.28: Assignment- Checking Conditions
- 10.29: Assignment- Two Independent Samples
- 11: 11- Chi-Square Tests
- 11.1: Why It Matters- Chi-Square Tests
- 11.2: Introduction- Chi-Square Test for One-Way Tables
- 11.3: Goodness-of-Fit (1 of 2)
- 11.4: Goodness-of-Fit (2 of 2)
- 11.5: Introduction- Chi-Square Tests for Two-Way Tables
- 11.6: Test of Independence (1 of 3)
- 11.7: Test of Independence (2 of 3)
- 11.8: Test of Independence (3 of 3)
- 11.9: Test of Homogeneity
- 11.10: Putting It Together- Chi-Square Tests
- 11.11: StatTutor- Risk Factors for Low Birth Weight
- 11.12: Assignment- Test of Independence Using Technology
- 11.13: Assignment- Using Technology with Data to Run a Hypothesis Test
- 12: Main Body
- 12.1: Chapter 1
- 13: Course Information
- 13.1: Welcome to the class!
- 13.2: Course Learning Activities
- 13.3: How Your Course Grade is Determined
- 13.4: Heutagogical Course Objectives
- 13.5: What is Heutagogy?
- 13.6: My Expectations…
- 14: Module 1
- 14.1: Module 1 Learning Activities
- 14.2: Module 1 Discussion Forum
- 14.3: Reflective Blog 1
- 14.4: Blog 1 Forum
- 14.5: Module 1 Homework
- 14.6: Module 1 Exam
- 14.7: Talk with the Professor
- 15: Modules 2, 3, 4 and 5
- 15.1: Structure of Modules 2 through 5
- Back Matter
- Index
- Glossary
- Detailed Licensing