Skip to content
NMNeha Malhan

Coursework

Case Studies

Applied statistics coursework from ADSC1910 at Thompson Rivers University, co-authored with classmate Thiwanka Abeyweera. Original write-ups, unedited.

ADSC1910, Case Study 1 · Sep 2024

Analyzing the Academic Performance of Grade 5 Students at Kamloops Elementary School

Descriptive statistical analysis of Grade 5 students' Math, Science, and English scores, alongside categorical analysis of class and colour preferences, with a data quality assessment.

Mean, median, standard deviationComparative boxplotsCategorical preference analysis

ADSC1910, Case Study 3 · Sep 2024

Customer Behavior, Service Quality, and Pricing Strategy for a Telecommunications Sample

Analysis of a ~500-customer sample from a telecommunications dataset, examining region, bundling, and service attributes to support customer-satisfaction and revenue decisions.

SamplingDescriptive statisticsCustomer segmentation by attribute

ADSC1910, Case Study 4 · Oct 2024

Characterizing NHL Player Performance, 2022–2023 Season

Analysis of NHL player performance by position (goals, assists, shots on goal, and plus/minus) to characterize offensive and defensive contributions across the season.

Grouped summary statisticsBar plots by positionOffensive/defensive contribution analysis

ADSC1910, Case Study 6 · Oct 2024

Do Forest Habitats Support Greater Bird Species Richness in Northern Italy?

A one-tailed two-sample t-test comparing bird species richness between forest and non-forest habitats in Northern Italy, complemented by descriptive statistics and visualizations.

Descriptive statisticsBoxplots & histogramsOne-tailed two-sample t-test

ADSC1910, Case Study 7 · Oct 2024

Bird Species Richness Across Multiple Habitat Types in Northern Italy

Extends the forest-vs-non-forest comparison to a full multi-group test across forest, agricultural, grassland, and urban habitats, using a Kruskal-Wallis test.

Kruskal-Wallis testMulti-group hypothesis testingHabitat-type comparison

ADSC1910, Case Study 8 · Nov 2024

Key Factors Influencing Data Scientist Salary

Multiple linear regression modelling of data scientist salaries against education, experience, GPA, and geographic factors, with diagnostic checks on model assumptions.

Multiple linear regressionMulticollinearity assessmentResidual diagnostics