Important Topics:
1.Data collection
Data collection guide
Experimental design
Populations and samples
2.Populations and samples
3.Sampling methods
Types of variables
Types of variables
4.Levels of measurement
Nominal data
Ordinal data
Interval data
Ratio data
5.Data cleansing
Data cleansing guide
Missing data
Outliers
6.Descriptive statistics
Overview descriptive statistics
7.Measures of central tendency
Mode
Median
Mean
8.Measures of variability
Range
Interquartile range
Standard deviation
Variance
Frequency distribution
Frequency distribution
Quartiles & quantiles
9.Probability (distributions)
Probability distributions
Normal distribution
Standard normal distribution
Poisson distribution
Chi-square distribution
Chi-square table
t distribution
t table
10.Inferential statistics
Overview inferential statistics
Degrees of freedom
Central limit theorem
Parameters & test statistics
Parameters vs. test statistics
Test statistics
Estimation
Standard error
Confidence intervals
11.Hypothesis testing
Hypothesis testing guide
Null vs. alternative hypotheses
Statistical significance
p value
Type I & Type II errors
Statistical power
Statistical tests
Choosing the right test
Assumptions for hypothesis testing
Skewness
Kurtosis
Correlation
Correlation vs. causation
Correlation coefficient
Pearson correlation
12.Regression analysis
Simple linear regression
Multiple linear regression
Linear regression in R
t tests
13.ANOVAs
One-way ANOVA
Two-way ANOVA
14.Chi-square
Chi-square goodness of fit test
Chi-square test of independence