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K300 E05 Calculating the Variance in Excel
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K300 E06 Calculating the Standard Deviation in…
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K300 E07 - Charts and Graphs in Excel - Mac
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K300 E07 - Charts and Graphs in Excel - PC
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K300 E08 - Z Scores and Percentiles in Excel
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K300 E14 - Correlations in Excel.mp4
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K300 J13 - Eta Squared in JASP
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K300 J14 - Correlations in Jasp
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K300 L01 Mod 01 Introductions
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K300 L02 Mod 01 Descriptive and Inferential…
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K300 L02 Mod 02 Qualitative vs Quantitative Data
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K300 L02 Mod 03 Discrete vs. Continuous Variables
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K300 L02 Mod 04 Levels of Measurement
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K300 L02 Mod 05 Research Terminology
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K300 L03 Mod 01 Histograms
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K300 L03 Mod 02 Binning Data
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K300 L03 Mod 03 Shapes of Distributions: Symmetry
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K300 L03 Mod 04 Shapes of Distributions: Modality
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K300 L04 Mod 01 Central Tendency Introduction
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K300 L04 Mod 03 The Median and The Mode
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K300 L04 Mod 04 Estimating Central Tendency
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K300 L04 Mod 05 Which Measure of CT to Report
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K300 L04 Mod 06 Misleading Uses of CT
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K300 L05 Mod 01 Variability and the Standard…
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K300 L05 Mod 02 Variability
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K300 L05 Mod 03 The Variance
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K300 L05 Mod 04 Calculating the Variance
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K300 L05 Mod 05 The Standard Deviation
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K300 L05 Mod 06 What the Standard Deviation Tells…
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K300 L06 Mod 01 The Normal Distribution
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K300 L06 Mod 02 Normal Distributions and Standard…
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K300 L06 Mod 03 The Area Under the Normal Curve
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K300 L07 Mod 02 Calculating Z Scores
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K300 L07 Mod 03 Estimating Percentages from Z…
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K300 L07 Mod 04 Comparisons with Z Scores
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K300 L08 M01 Estimating Probalities
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K300 L08 M02 Modeling Outcomes
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K300 L08 M03 A Note About Sample Sizes and Noise
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K300 L08 M05 Multiple Simulations
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K300 L09 M01 Models as Origin Stories
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K300 L09 M02 Rejecting a Model
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K300 L09 M03 What is Very Unlikely
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K300 L09 M04 Model Evaluation and Z Scores
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K300 L10 M01 Thinking About Samples
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K300 L10 M02 Misleading Charts and Graphs
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K300 L10 M03 Why Distributions Shapes Matter
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K300 L10 M04 Comparison Groups
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K300 L10 M06 Relative vs Absolute Risk
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K300 L10 M07 Cherry Picking and Review
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K300 L12 Mod 01 Model Evaluation Review
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K300 L12 Mod 02 One- and Two-Tailed Tests
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K300 L12 Mod 03 The Null Model
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K300 L12 Mod 04 Null Hypothesis Significance…
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K300 L12 Mod 05 - NHST and Directional Hypotheses
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K300 L12 Mod 06 NHST Practice
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K300 L12 Mod 07 Rejecting and Failing to Reject
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K300 L13 Mod 02 Interpreting p Values
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K300 L13 Mod 03 Calculating p Values
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K300 L14 Mod 01 NHST and p Value Review
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K300 L14 Mod 02 Reporting Your Results
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K300 L14 Mod 03 Significance vs Truth
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K300 L14 Mod 04 Type I Errors
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K300 L14 Mod 05 Type II Errors
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K300 L14 Mod 06 Type I and Type II Tradeoffs
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K300 L15 Mod 01 Z Score Review
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K300 L15 Mod 02 Hypothesis Testing with Z Scores
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K300 L15 Mod 03 Simplifying Z Score Hypothesis…
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K300 L15 Mod 04 From Individuals to Groups
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K300 L15 Mod 05 The Standard Error
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K300 L15 Mod 06 Hypothesis Testing with Samples
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K300 L16 Mod 01 A Problem with Z Score Tests
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K300 L16 Mod 02 Experimental Designs
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K300 L16 Mod 03 The Test Statistic
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K300 L16 Mod 04 Population Variability Matters
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K300 L16 Mod 05 Sources of Variability
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K300 L16 Mod 06 The Within-Participants Test…
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K300 L17 Mod 01 The Between-Participants Null…
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K300 L17 Mod 02 Building the Between-Participants…
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K300 L17 Mod 03 The Between-Participants Null…
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K300 L17 Mod 04 The Within-Participants Null Model
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K300 L17 Mod 05 Building the Within-Participants…
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K300 L17 Mod 06 Sources of Variability Revisited
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K300 L18 Mod 01 Parametric Statistics
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K300 L18 Mod 02 A Generic Test Statistic
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K300 L18 Mod 03 The t Statistic
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K300 L18 Mod 04 Why You Should Love the t Test
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K300 L18 Mod 05 Estimating Population Variability
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K300 L18 Mod 06 Performing a t Test
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K300 L18 Mod 07 Reporting t Test Results
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K300 L19 M02 Significance Isn't Everything
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K300 L19 M04 The Problem of Multiple Tests
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K300 L19 Mod 01 Statistics Are Just Tools
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K300 L19 Mod 03 Significance Isnt…
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K300 L20 Mod 01 Effect Sizes
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K300 L20 Mod 02 Interpreting Effect Sizes
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K300 L20 Mod 03 Confidence Intervals
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K300 L20 Mod 04 Interpreting Confidence Intervals
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K300 L21 Mod 01 Performing NHST Correctly
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K300 L21 Mod 02 Meta-Analysis
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K300 L21 Mod 03 Preregistration
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K300 L21 Mod 04 Other Statistical Approaches
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K300 L22 Mod 01 Experimental Designs Review
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K300 L22 Mod 02 A Limitation of t Tests:…
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K300 L22 Mod 03 Analysis of Variance
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K300 L22 Mod 04 Variance Between vs Variance…
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K300 L22 Mod 06 The Null Distribution for F… 117 of 153
K300 L22 Mod 06 The Null Distribution for F…
K300 L22 Mod 06 The Null Distribution for F…
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K300 L22 Mod 07 Rejecting the Null Hypothesis in…
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K300 L22 Mod 08 Finding the Difference
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K300 L22 Mod 09 Reporting ANOVA Results
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K300 L22 Mod 10 Effect Sizes and CIs for ANOVAs
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K300 L25 Mod 01 Introducing Correlations
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K300 L25 Mod 02 The Pros and Cons of Correlations
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K300 L25 Mod 03 Three Causal Relationships
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K300 L25 Mod 04 The Correlation Coefficient
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K300 L25 Mod 05 Estimating Correlational Strength
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K300 L25 Mod 06 Hypothesis Testing With…
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K300 L25 Mod 07 Reporting Correlatoinal Results
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K300 L25 Mod 08 Correlation Effect Sizes and…
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K300 L26 Mod 01 Linear Regression
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K300 L26 Mod 02 Linear Prediction
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K300 L26 Mod 03 Finding the Best Fit
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K300 L26 Mod 04 Hypothesis Testing for Linear…
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K300 L27 Mod 01 Introducing Bayesian Updating
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K300 L27 Mod 02 Probability Notations and…
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K300 L27 Mod 03 Formalizing Bayes Theorem
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K300 L27 Mod 04 Bayesian Basics Review
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K300 L27 Mod 05 Expanding the Scope of Bayesian…
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K300 L27 Mod 06 The Power of Priors
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K300 L27 Mod 07 Why Bayesian?
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K300 S01 Mod 01 The Interquartile Range
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K300 S01 Mod 02 Calculating the Variance and SD
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K300 S01 Mod 03 Practice Estimating Percentages…
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K300 S01 Mod 04 Coin Flipping Practice
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K300 S01 Mod 05 p Value Calculation Practice
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K300 S01 Mod 06 The t Test Formulas
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K300 S01 Mod 07 Degrees of Freedom
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K300 S01 Mod 08 The t Distribution
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K300 S01 Mod 09 p Values and Sample Sizes
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K300 S01 Mod 10 Post-Hoc Tests
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K300 S01 Mod 11 Practice with the Three Causal…
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K300 S01 Mod 12 Unpacking the Correlation Equation
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K300 S01 Mod 13 Exploring the Regression Equations
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