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Types of Variables
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Classroom Contents
Statistics
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- 1 The Basics: Descriptive and Inferential Statistics
- 2 Sampling Methods
- 3 Types of Variables
- 4 Independent and Dependent Variables
- 5 Variable Measurement Scales
- 6 Frequency Distributions and Cumulative Frequency Distributions
- 7 Bar Graphs and Pie Charts
- 8 Histograms and Stem & Leaf Plots
- 9 Arithmetic Mean for Samples and Populations
- 10 Central Tendency: Mean, Median, and Mode
- 11 Variance and Standard Deviation of a Population
- 12 Variance and Standard Deviation of a Sample
- 13 Percentiles and Quartiles
- 14 The Five Number Summary, Interquartile Range(IQR), and Boxplots
- 15 The Effects of Outliers
- 16 Skewness
- 17 The Normal Curve and Empirical Rule
- 18 Z-Scores (part one)
- 19 Z-Scores (part two)
- 20 Extra Z-Score Problems
- 21 The Basics of Probability
- 22 Addition Rule (Probability "or")
- 23 Multiplication Rule (Probability "and")
- 24 Permutations
- 25 Combinations
- 26 Discrete and Continuous Random Variables
- 27 Discrete Probability Distributions
- 28 Probability Histograms
- 29 Mean and Expected Value of Discrete Random Variables
- 30 Variance and Standard Deviation of Discrete Random Variables
- 31 The Law of Large Numbers
- 32 Binomial Distribution
- 33 Mean and Standard Deviation of Binomial Random Variables
- 34 Poisson Distribution/Process
- 35 Mean and Standard Deviation of Poisson Random Variables
- 36 Coordinate (Cartesian) Planes
- 37 Quadrants
- 38 Scatter Plots
- 39 Pearson's r Correlation
- 40 Hypothesis Testing with Pearson's r
- 41 Spearman Correlation
- 42 Linear Regression
- 43 Correlation vs. Causation
- 44 Parameters, Statistics, and Sampling Error
- 45 Distribution of the Sample Mean
- 46 The Central Limit Theorem
- 47 Sample Proportions
- 48 Confidence Intervals about the Mean, Population Standard Deviation Known
- 49 Calculating Required Sample Size to Estimate Population Mean
- 50 Student's t-Distribution
- 51 Confidence Intervals about the Mean, Population Standard Deviation Unknown
- 52 Confidence Intervals for Population Proportions
- 53 Null and Alternative Hypotheses
- 54 Type I and Type II Errors
- 55 One-Tailed and Two-Tailed Tests
- 56 Effect Size
- 57 Power
- 58 Statistical vs. Practical Significance
- 59 Independent and Dependent Samples
- 60 One Sample z-Test
- 61 One Sample z-Test for Proportions
- 62 One Sample t-Test
- 63 Independent Samples t-Test
- 64 Confidence Intervals for Independent Samples t-Test
- 65 Effect Size for Independent Samples t-Test
- 66 Dependent Samples t-Test
- 67 Confidence Intervals for Dependent Samples t-Test
- 68 Effect Size for Dependent Samples t-Test
- 69 z-Test for Proportions, Two Samples
- 70 Confidence Intervals for the Difference of Two Proportions
- 71 Introduction to ANOVA
- 72 One-Way ANOVA
- 73 Effect Size for One-Way ANOVA
- 74 Post-Hoc Tests for One-Way ANOVA
- 75 Repeated-Measures ANOVA
- 76 Factorial ANOVA, Two Independent Factors
- 77 Factorial ANOVA, Two Dependent Factors
- 78 Factorial ANOVA, Two Mixed Factors
- 79 Chi-Square Test for Goodness of Fit
- 80 Chi-Square Test for Independence
- 81 Mann-Whitney U-Test
- 82 Wilcoxon Signed-Ranks Test
- 83 The Kruskal-Wallis Test
- 84 The Friedman Test
- 85 Calculating Required Sample Size to Estimate Population Proportions
- 86 User Submitted Question: Alpha Levels
