Inferential Statistics

About Course

This course introduces the principles of inferential statistics, focusing on how sample data can be used to make conclusions about a population. Students will learn hypothesis testing, confidence intervals, normality assessment, and statistical techniques such as t-tests and ANOVA. The course also emphasizes the selection and interpretation of appropriate statistical tests in research.

Understand the basic concepts of inferential statistics and its importance in research
Formulate statistical hypotheses
Conduct hypothesis testing and interpret statistical results
Distinguish between one-tailed and two-tailed tests
Identify appropriate statistical tests for different research situations
Calculate and interpret confidence intervals and point estimates
Assess data normality using graphs, descriptive statistics, and statistical tests.
Perform and interpret different types of t-tests (one-sample, independent samples, and paired samples).
Conduct Analysis of Variance (ANOVA) to compare means across multiple groups.
Interpret statistical output and report results in research studies.
Apply inferential statistical techniques using statistical software

Course Content

Module 1: Basic Concept of Inferential Statistics

Lesson 1: What is Inferential Statistics
Lesson 2: Hypothesis and its Types
Lesson 3: Hypothesis Testing Steps
Lesson 4: Research Questions vs Research Hypothesis
Lesson 5: Test Selection
Lesson 6: Test of Difference
Assignment

Module 2: Estimation & Confidence Interval

Module 3: Normality

Module 4: t test

Module 5: Analysis of Variance

Final Exam

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Inferential Statistics

About Course

What Will You Learn?

Course Content

Module 1: Basic Concept of Inferential Statistics

Lesson 1: What is Inferential Statistics

Lesson 2: Hypothesis and its Types

Lesson 3: Hypothesis Testing Steps

Lesson 4: Research Questions vs Research Hypothesis

Lesson 5: Test Selection

Lesson 6: Test of Difference

Assignment

Module 2: Estimation & Confidence Interval

Lesson 1: Point estimate and confidence interval

Lesson 2: Level of confidence

Lesson 3: Confidence interval for the population mean

Lesson 4: Confidence interval for the population proportion

Assignment

Module 3: Normality

Lesson 1: Testing Normality using Graphs

Lesson 2: Testing Normality using Descriptive Statistics

Lesson 3: Testing Normality using Statistical Tests

Lesson 4: Interpretation of Normality

Assignment

Module 4: t test

Lesson 1: One sample t test

Lesson 2: Two Independent sample t test

Lesson 3: Two Dependent sample t test

Assignment

Module 5: Analysis of Variance

Lesson 1: One-way analysis of variance

Lesson 2: Two-way analysis of variance

Assignment

Final Exam

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