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Learn R programming
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Module 8
Foundations of Statistical Inference
1
Understanding Hypothesis Testing
Explain the logic of hypothesis testing: null/alternative hypotheses, p-values, and significance.
2
Probability and Quantile Calculations
Calculate probabilities and quantiles from common distributions (e.g., Normal, t).
Descriptive Statistics: Measures of Center and Spread
Calculate and interpret descriptive statistics (mean, median, SD, IQR).
4
Visual and Formal Normality Checks
Assess data normality visually with Q-Q plots and formally with the Shapiro-Wilk test.
Calculating and Interpreting Correlation with `cor()`
Compute and interpret correlation coefficients using `cor()`.
6
Understanding Confidence Intervals
Interpret confidence intervals as a range of plausible values for a parameter.
7
`assertthat` for Data Validation
Assert data properties and assumptions using `assertthat::assert_that()`.
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Hypothesis Testing and Tidy Analysis