What will you in the Business Applications of Hypothesis Testing and Confidence Interval Estimation Course
Understand the fundamentals of confidence intervals and hypothesis testing
Apply statistical methods to real business problems using Microsoft Excel
Calculate the right sample size for surveys and testing scenarios
Differentiate between types of hypothesis tests and when to use them
Use Excel functions like T.DIST, T.INV, and Z.TEST for practical analysis
Program Overview
1. Confidence Interval – Introduction
Duration: 10 hours
Basics of confidence intervals, t-statistics, and z-scores
Use of Excel statistical functions like T.DIST and T.INV
Constructing confidence intervals using real-world datasets
2. Confidence Interval – Applications
Duration: 10 hours
Applying confidence intervals to business scenarios
Sample size calculations for product and service evaluation
Confidence intervals for proportions
Intro to hypothesis testing
3. Hypothesis Testing
Duration: 10 hours
Four steps for conducting a hypothesis test
Understanding null vs. alternative hypotheses
One-tailed vs. two-tailed tests
Type I and Type II errors
4. Hypothesis Test – Differences in Mean
Duration: 10 hours
Hypothesis testing on differences between two means
Equal and unequal variance conditions
Paired sample t-tests
Get certificate
Job Outlook
Business Analysts: Make decisions backed by statistical evidence
Data Analysts: Use hypothesis testing for actionable insights
Marketing Professionals: Measure campaign effectiveness through testing
Operations Managers: Analyze process improvements with statistical tools
Students: Build a solid base in business-focused statistics
Specification: Business Applications of Hypothesis Testing and Confidence Interval Estimation
|
