Computer Assignments and Tutorials

Overview

The course includes six computer assignments that progressively build your R skills and statistical analysis capabilities. Each assignment focuses on specific statistical techniques and is accompanied by a detailed tutorial. All assignments use the AppRating dataset as the primary data source, supplemented with additional datasets for practice and demonstration.

Important

Dataset Requirements:

• Download the appropriate AppRating dataset for your session (Fall or Winter) at the start of the course

• This same dataset is used throughout ALL six assignments

• Additional tutorial datasets are provided for specific examples

• See Course Datasets for all download links

Assignment Structure by Session

Regular Session (Fall/Spring)

Six separate assignments, each focusing on distinct statistical concepts:

• CA1: Introduction to R and data exploration

• CA2: Graphical and numerical summaries

• CA3: Basic hypothesis testing and subsetting

• CA4: Two-sample procedures

• CA5: One-way ANOVA

• CA6: Simple linear regression

Winter Session (Accelerated)

Five assignments with CA1 and CA2 combined:

Note

Winter Session combines the first two assignments and renumbers the rest:

• Assignment 1: Combined CA1 & CA2 content

• Assignment 2: Basic hypothesis testing (originally CA3)

• Assignment 3: Two-sample procedures (originally CA4)

• Assignment 4: One-way ANOVA (originally CA5)

• Assignment 5: Simple linear regression (originally CA6)

Assignment Tutorials (Links)

• Computer Assignment 1 Tutorial — Data Exploration and Statistical Analysis: CA1 Tutorial

• Computer Assignment 2 Tutorial — Subsetting and Basic Statistical Inference: CA2 Tutorial

• Computer Assignment 3 Tutorial — Two-sample Procedures: CA3 Tutorial

• Computer Assignment 4 Tutorial — Two-sample procedures: CA4 Tutorial

• Computer Assignment 5 Tutorial — One-way ANOVA: CA5 Tutorial

• Computer Assignment 6 Tutorial — Simple linear regression: CA6 Tutorial

Winter Session

• Computer Assignment 1 Tutorial — Intro & basics: CA1 Tutorial

• Computer Assignment 2 Tutorial — Subsetting & basic hypothesis testing: CA2 Tutorial

• Computer Assignment 3 Tutorial — Two-sample procedures: CA3 Tutorial

• Computer Assignment 4 Tutorial — One-way ANOVA: CA4 Tutorial

• Computer Assignment 5 Tutorial — Simple linear regression: CA5 Tutorial

Course Pipeline (At a Glance)

1. Import: read.csv → inspect with head, str, summary.

2. Validate & clean: missing data (is.na, complete.cases), types (as.numeric, factor), quick checks (length, nrow, unique).

3. Explore: core summaries (mean, median, sd, quantile, IQR), plots (ggplot2 histograms/boxplots).

4. Model: one/two-sample t; ANOVA; SLR via lm; compute p-values/intervals; diagnostics (residual plots, QQ).

5. Report: figures/tables (ggplot2, knitr::kable + kableExtra), short text with context.