Topic 7 - Apply randomization methods to appropriate scenarios

Topic 6 - Perform the goodness of fit test to appropriate scenarios

Topic 5 - Apply the appropriate nonparametric tests on non normally distributed data sets

[Statistics with R] 15 - 2-Way ANOVA for M-Sample Means

[Statistics with R] 14 - 2-Way ANOVA for N-Sample Means

[Statistics with R] 13 - 1-Way ANOVA for N-Sample Means

[Statistics with R] 12 - Multiple Linear Regression

[Statistics with R] 11 - Simple Linear Regression

Topic 4 - Apply the appropriate parametric tests on normally distributed data sets

Topic 3 - Solve problems using linear regression method

Topic 2 - Determine whether a given data set is normally distributed

Topic 1 - Present the distribution of a given set of data in various ways

[Statistics with R] 10 - Subsetting Data

[Statistics with R] 9 - Wilcoxon Signed-Rank Test

[Statistics with R] 8 - Mann Whitney U Test

[Statistics with R] 7 - t-tests for 2-Sample Means

[Statistics with R] 6 - Fligner-Killeen Test for Homogeneity of Variances

[Statistics with R] 5 - Shapiro-Wilk Test for Normality

[Statistics with R] 4 - Descriptive Statistics

[Statistics with R] 3 - Adding Computed Columns

[Statistics with R] 2 - Reading Excel Spreadsheet into R

[Statistics with R] 1 - Introducing the Dataset

ChemBot_1 vs DumbBot

Biological Data Analysis (Tutorial 4): Probability Distribution

Biological Data Analysis (Tutorial 5): 1-Sample Hypothesis Testing, 4th Edition

Biological Data Analysis (Tutorial 3): Basic Probability Theories, Relative Risk and Odds Ratio

Biological Data Analysis (Tutorial 7): Confidence Intervals, 3rd Edition

Biological Data Analysis (Tutorial 6): 2-Samples Hypothesis Testing, 4th Edition

Biological Data Analysis (Tutorial 8): ANOVA, 2nd Edition

BDA M2 Laboratory 9 - Regression