Assignment 1 - Model Solutions
Complete step-by-step solutions for the Research Methodology assignment covering Binomial & Poisson distributions, Student's t-test, One-Way ANOVA, Pearson correlation, Linear Regression, and Research Proposal preparation.
Estimation & Hypothesis Testing Scenarios
Step-by-step examination questions, model answers, visual distribution graphs, and decision diagrams for Inferential Statistics Module 3
Hypothesis Testing Foundations
The logic of hypothesis testing, formulating null and alternative claims, Type I and Type II errors, test power, and decision rules.
Large Sample Tests
One-sample and two-sample Z-tests, decision rules across critical values, p-values, and confidence intervals with Python implementations.
Module 5: Data Analysis Problem Solving & Solutions
Exam-oriented problem-solving guide covering probability distributions, sampling, hypothesis testing, model validation, and machine learning.
Unit 4 - Hypothesis Testing
LLT Component Unit 4 questions and comprehensive model solutions covering one-sample Z and t tests, proportion tests, two-sample independent and paired tests, critical region, p-value, and confidence interval techniques.
Unit 4 Cheat Sheet - Hypothesis Testing
Rapid-revision cheat sheet for Unit 4 Hypothesis Testing, clearly separating core means testing (for the cycle test) from proportions and paired tests.