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Statistics: Open for Everyone

Introductory Statistics Statistics

Tác giả: Christina R. Peter
Nhà xuất bản: Los Angeles Valley College
Nguồn: LibreTexts
Giấy phép: CC BY-NC-SA
Ngôn ngữ: EN
Danh mục: Khoa học cơ bản

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Mục lục· 126 mục

01: Introduction to Statistics
1.01: What is Statistics
1.02: Tenets of Statistics
1.03: Types of Variables
1.04: Types of Statistics
1.05: Statistics and Science
1.06: How to Succeed in Statistics
02: Summarizing Data Visually
2.01: Visually Summarizing Data Univariately
2.02: How to Read a Data Set
2.03: The Value of Visual Summaries
2.04: Frequency Distribution Tables
2.05: Histograms
2.06: Frequency Polygons
2.07: Bar Graphs
2.08: Using SPSS
2.09: Chapter References
03: Measures of Central Tendency
3.01: The Goal of Summaries
3.02: Mode
3.03: Median
3.04: Mean
3.05: Reporting Results
3.06: Summary
3.07: Chapter References
04: Measures of Variability
4.01: Variability
4.02: Range
4.03: Standard Deviation
4.04: Summarizing Results in Sentences
4.05: Variance
4.06: Choosing a Measure of Variability
4.07: Using SPSS
05: The Normal Curve z-Scores and Probability
5.01: The Normal Curve z-Scores and Probability
5.02: The Normal Distribution Curve
5.03: z-Scores
5.04: Finding Probabilities
5.05: Probability and Inferential Statistics
06: The Foundations of Hypothesis Testing
6.01: Developing Hypotheses
6.02: One-Tailed vs. Two-Tailed Tests
6.03: Sampling Distributions
6.04: Hypothesis Testing
6.05: Errors and Statistical Significance
6.06: Choosing Statistical Tests
6.07: References
07: One Sample t-Tests
7.01: t-Statistics and the One Sample t-tests
7.02: The Logic of a t-Distribution
7.03: The One Sample t-Test Formula
7.04: Reporting Results
7.05: Practice Example of how to Compute t when Descriptive Statistics are Provided
7.06: Using SPSS
7.07: Structured Summary for the One Sample t-Test
7.08: References
08: Independent Samples t-Tests
8.01: Variables Data and Hypotheses that Fit the Independent Samples t-Test
8.02: Experimental Design and Cause-Effect
8.03: The Independent Samples t-Test Formula
8.04: Example of how to Test a Hypothesis by Computing t.
8.05: Addressing Violations to Assumptions
8.06: Using SPSS
8.07: Structured Summary for the Independent Samples t-Test
8.08: References
09: Dependent Samples t-Tests
9.01: Variables Data and Hypotheses that Fit the Dependent Samples t-Test
9.02: The Dependent Samples t-Test Formula
9.03: Distinguishing Parts of the Dependent Samples t-Test Formula
9.04: Using SPSS
9.05: Structured Summary for the Dependent Samples t-Test
9.06: References
10: One-Way ANOVA
10.01: Introduction to One-Way ANOVA
10.02: Variables Data and Hypotheses that Fit a One-way ANOVA
10.03: The One-Way ANOVA Formula
10.04: Using the ANOVA Formula
10.05: Addressing Violations to Assumptions
10.06: Using SPSS
10.07: Structured Summary for the One-Way ANOVA
10.08: One-Way ANOVA Calculations Chart
11: Repeated-Measures ANOVA
11.01: Introduction to Repeated-Measures ANOVA
11.02: Variables Data and Hypotheses that Fit a Repeated-Measures ANOVA
11.03: The Foundations of Repeated-Measures ANOVA Formula
11.04: Computations with the Repeated-Measures ANOVA Formula
11.05: Testing a Hypothesis with Repeated Measures ANOVA
11.06: Structured Summary for the Repeated-measures ANOVA
12: Bivariate Correlation
12.01: Introduction to Bivariate Correlation
12.02: Variables
12.03: Data and Assumptions
12.04: Hypotheses
12.05: Interpretation of r-Values
12.06: The Bivariate Correlation Formula
12.07: Using SPSS
12.08: Structured Summary for Bivariate Correlation
13: Simple Linear Regression
13.01: Introduction to Linear Regression
13.02: Variables
13.03: Data and Assumptions
13.04: Prediction in Regression
13.05: Hypotheses
13.06: Visualizing Linear Regression
13.07: The Purpose of the Four Parts of a Regression Analysis
13.08: Visualizing Predictions and Residuals in Regression
13.09: Testing a Regression Model
13.10: Computing F
13.11: Example of How to Test a Hypothesis Using Regression
13.12: Testing a Hypothesis with Regression in SPSS
14: Chi-Squared
14.01: Introduction to Non-Parametric Tests
14.02: Chi-squared Goodness of Fit
14.03: Testing Goodness of Fit with Chi-Squared
14.04: Example of How to Test a Hypothesis Using Chi-squared Goodness of Fit
14.05: Testing Independence with Chi-Squared
14.06: Using SPSS
14.07: Structured Summary for Chi-Squared
15: Appendix
15.01: Appendix A- Math Symbols and Their Operations
15.02: Appendix B- Order of Operations
15.03: Appendix C- The Z-Distribution Table
15.04: Appendix D- The t-Tables
15.05: Appendix E- The F-Tables
15.06: Appendix F- The q-Tables
15.07: Appendix G- The r-Tables