Nguồn ngoài

Statistics for the Social Sciences

Statistics

Tác giả: Bill Pelz
Nhà xuất bản: Herkimer College (SUNY)
Nguồn: LibreTexts
Giấy phép: CC BY
Ngôn ngữ: EN
Danh mục: Khoa học cơ bản

Đọc trực tuyến Tải PDF (nguồn mở)

Mục lục· 239 mục

01: Types of Statistical Studies and Producing Data
1.01: Why It Matters- Types of Statistical Studies and Producing Data
1.02: Introduction- Types of Statistical Studies
1.03: Types of Statistical Studies (1 of 4)
1.04: Types of Statistical Studies (2 of 4)
1.05: Types of Statistical Studies (4 of 4)
1.06: Types of Statistical Studies (3 of 4)
1.07: Introduction- Sampling
1.08: Sampling (1 of 2)
1.09: 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
02: Summarizing Data Graphically and Numerically
2.01: Why It Matters- Summarizing Data Graphically and Numerically
2.02: Introduction- Categorical vs. Quantitative Data
2.03: Categorical vs. Quantitative Data
2.04: Introduction- Dotplots
2.05: Dotplots (1 of 2)
2.06: Dotplots (2 of 2)
2.07: Introduction- Histograms
2.08: Histograms (1 of 4)
2.09: 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
03: Examining Relationships- Quantitative Data
3.01: Why It Matters- Examining Relationships- Quantitative Data
3.02: Introduction- Scatterplots
3.03: Scatterplots (1 of 5)
3.04: Scatterplots (2 of 5)
3.05: Scatterplots (3 of 5)
3.06: Scatterplots (4 of 5)
3.07: Scatterplots (5 of 5)
3.08: Introduction- Linear Relationships
3.09: 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
04: Nonlinear Models
4.01: Why It Matters- Nonlinear Models
4.02: Introduction- Exponential Relationships
4.03: Exponential Relationships (1 of 6)
4.04: Exponential Relationships (2 of 6)
4.05: Exponential Relationships (3 of 6)
4.06: Exponential Relationships (4 of 6)
4.07: Exponential Relationships (5 of 6)
4.08: Exponential Relationships (6 of 6)
4.09: Putting It Together- Nonlinear Models
05: Relationships in Categorical Data with Intro to Probability
5.01: Why It Matters- Relationships in Categorical Data with Intro to Probability
5.02: Introduction- Two-Way Tables
5.03: Two-Way Tables (1 of 5)
5.04: Two-Way Tables (2 of 5)
5.05: Two-Way Tables (3 of 5)
5.06: Two-Way Tables (4 of 5)
5.07: Two-Way Tables (5 of 5)
5.08: Putting It Together- Relationships in Categorical Data with Intro to Probability
5.09: StatTutor- Treating Depression- A Randomized Clinical Trial
06: Probability and Probability Distributions
6.01: Why It Matters- Probability and Probability Distributions
6.02: Introduction- Another Look at Probability
6.03: Another Look at Probability (1 of 2)
6.04: Another Look at Probability (2 of 2)
6.05: Introduction- Probability Rules
6.06: Probability Rules (1 of 3)
6.07: Probability Rules (2 of 3)
6.08: Probability Rules (3 of 3)
6.09: 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
07: Linking Probability to Statistical Inference
7.01: Why It Matters- Linking Probability to Statistical Inference
7.02: Parameters vs. Statistics
7.03: Introduction- Statistical Inference
7.04: Distribution of Sample Proportions (1 of 6)
7.05: Distribution of Sample Proportions (2 of 6)
7.06: Distribution of Sample Proportions (3 of 6)
7.07: Distribution of Sample Proportions (4 of 6)
7.08: Distribution of Sample Proportions (5 of 6)
7.09: 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
08: Inference for One Proportion
8.01: Why It Matters- Inference for One Proportion
8.02: Introduction- Estimating a Population Proportion
8.03: Estimating a Population Proportion (1 of 3)
8.04: Estimating a Population Proportion (2 of 3)
8.05: Estimating a Population Proportion (3 of 3)
8.06: Introduction- Hypothesis Testing
8.07: Hypothesis Testing (1 of 5)
8.08: Hypothesis Testing (2 of 5)
8.09: 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
09: Inference for Two Proportions
9.01: Why It Matters- Inference for Two Proportions
9.02: Introduction- Distribution of Differences in Sample Proportions
9.03: Distribution of Differences in Sample Proportions (1 of 5)
9.04: Distribution of Differences in Sample Proportions (2 of 5)
9.05: Distribution of Differences in Sample Proportions (3 of 5)
9.06: Distribution of Differences in Sample Proportions (4 of 5)
9.07: Distribution of Differences in Sample Proportions (5 of 5)
9.08: Introduction- Estimate the Difference Between Population Proportions
9.09: 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
10.01: Why It Matters- Inference for Means
10.02: Introduction- Distribution of Sample Means
10.03: Distribution of Sample Means (1 of 4)
10.04: Distribution of Sample Means (2 of 4)
10.05: Distribution of Sample Means (3 of 4)
10.06: Distribution of Sample Means (4 of 4)
10.07: Introduction- Estimating a Population Mean
10.08: Estimating a Population Mean (1 of 3)
10.09: 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 Courses 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
11.01: Why It Matters- Chi-Square Tests
11.02: Introduction- Chi-Square Test for One-Way Tables
11.03: Goodness-of-Fit (1 of 2)
11.04: Goodness-of-Fit (2 of 2)
11.05: Introduction- Chi-Square Tests for Two-Way Tables
11.06: Test of Independence (1 of 3)
11.07: Test of Independence (2 of 3)
11.08: Test of Independence (3 of 3)
11.09: 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
12.01: Chapter 1
13: Course Information
13.01: Welcome to the class
13.02: Course Learning Activities
13.03: How Your Course Grade is Determined
13.04: Heutagogical Course Objectives
13.05: What is Heutagogy
13.06: My Expectations
14: Module 1
14.01: Module 1 Learning Activities
14.02: Module 1 Discussion Forum
14.03: Reflective Blog 1
14.04: Blog 1 Forum
14.05: Module 1 Homework
14.06: Module 1 Exam
14.07: Talk with the Professor
15: Modules 2 3 4 and 5
15.01: Structure of Modules 2 through 5