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PSYC 330: Statistics for the Behavioral Sciences with Dr. DeSouza

Statistics

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Nguồn: LibreTexts
Giấy phép: CC BY-NC-SA
Ngôn ngữ: EN
Danh mục: Khoa học cơ bản

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Mục lục· 112 mục

01: What are Statistics
1.01: What are statistics
1.02: Why do we study statistics
02: Types of Data and How to Collect Them (by Dr. Alisa Beyer)
2.01: Types of Data and How to Collect Them
2.02: Who are your participants Who is your population
2.03: Representative Sample
2.04: Type of Research Designs
2.05: Working with Data
2.06: Levels of Measurement
2.07: What level of measurement is used for psychological variables
2.08: Reliability Validity and Results
2.09: Types of Statistical Analyses
2.10: Mathematical Notation
2.E: Exercises
03: Measures of Central Tendency and Spread
3.01: What is Central Tendency
3.02: Measures of Central Tendency
3.03: Spread and Variability
3.E: Measures of Central Tendency and Spread (Exercises)
04: Describing Data using Distributions and Graphs
4.01: Graphing Qualitative Variables
4.02: Graphing Quantitative Variables
4.E: Describing Data using Distributions and Graphs (Exercises)
05: Z-scores and the Standard Normal Distribution
5.01: Normal Distributions
5.02: Z-scores
5.03: Z-scores and the Area under the Curve
5.E: Z-scores and the Standard Normal Distribution (Exercises)
06: Probability
6.01: What is Probability
6.02: Probability in Graphs and Distributions
6.03: The Bigger Picture
6.E: Probability (Exercises)
07: Sampling Distributions
7.01: People Samples and Populations
7.02: The Sampling Distribution of Sample Means
7.03: Sampling Distribution Probability and Inference
7.E: Sampling Distributions (Exercises)
08: Introduction to Hypothesis Testing
8.01: Logic and Purpose of Hypothesis Testing
8.02: The Probability Value
8.03: The Null Hypothesis
8.04: The Alternative Hypothesis
8.05: Critical values p-values and significance level
8.06: Steps of the Hypothesis Testing Process
8.07: Movie Popcorn
8.08: Effect Size
8.09: Office Temperature
8.10: Different Significance Level
8.11: Other Considerations in Hypothesis Testing
8.E: Introduction to Hypothesis Testing (Exercises)
09: Introduction to t-tests
9.01: The t-statistic
9.02: Hypothesis Testing with t
9.03: Confidence Intervals
9.E: Introduction to t-tests (Exercises)
10: Repeated Measures
10.01: Change and Differences
10.02: Hypotheses of Change and Differences
10.03: Increasing Satisfaction at Work
10.04: Bad Press
10.E: Repeated Measures (Exercises)
11: Independent Samples
11.01: Difference of Means
11.02: Research Questions about Independent Means
11.03: Hypotheses and Decision Criteria
11.04: Independent Samples t-statistic
11.05: Standard Error and Pooled Variance
11.06: Movies and Mood
11.07: Effect Sizes and Confidence Intervals
11.08: Homogeneity of Variance
11.E: Independent Samples (Exercises)
12: Analysis of Variance
12.01: Observing and Interpreting Variability
12.02: Sources of Variance
12.03: ANOVA Table
12.04: ANOVA and Type I Error
12.05: Hypotheses in ANOVA
12.06: Scores on Job Application Tests
12.07: Variance Explained
12.08: Post Hoc Tests
12.09: Other ANOVA Designs
12.10: Analysis of Variance (Exercises)
13: Two-Factor ANOVAs (by Dr. Alisa Beyer)
13.01: Two-Factor ANOVAs
13.02: Conducting a Two Factor ANOVA
13.03: Graphing the Results of Factorial Experiments
13.E: Exercises
14: Correlations
14.01: Variability and Covariance
14.02: Visualizing Relations
14.03: Three Characteristics
14.04: Pearsons r
14.05: Anxiety and Depression
14.06: Effect Size
14.07: Correlation versus Causation
14.08: Final Considerations
14.E: Correlations (Exercises)
15: Chi-square
15.01: Categories and Frequency Tables
15.02: Goodness-of-Fit
15.03: Statistic
15.04: Pineapple on Pizza
15.05: Contingency Tables for Two Variables
15.06: Test for Independence
15.07: College Sports
15.E: Chi-square (Exercises)
16: Appendix A- Statistical Tables
16.01: F-distribution (ANOVA distribution) table
16.02: z-table (aka Standard Normal Distribution Table)
16.03: t Distribution Table