PDF Statistical Inference and t-Tests
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Statistical Inference and t-Tests
Objectives
? Evaluate the difference between a sample mean and a target value using a one-sample t-test. ? Evaluate the difference between a sample mean and a target value using a confidence interval. ? Assess the power of a hypothesis test using power analysis. ? Evaluate the difference between two sample means using a two-sample t-test. ? Evaluate the differences between paired observations using a paired t-test.
Statistical Inference and t-Tests
Copyright ? 2010 Minitab Inc. All rights reserved. Rel16 Ver 1.0
TRMEM160.SQBS
1-1
Contents
Examples and Exercises Choosing an Analysis
Example 1 Mortgage Process Time
Exercise A Surgical Scheduling Time
Power and Sample Size Example 2 Evaluating Power
Two-Sample t-Test Example 3 Customer Complaints Exercise B Call Center Handling Times Exercise C Salary Comparison
Contents
Purpose
Evaluate the difference between mean mortgage processing time and a target value using a one-sample t-test. Evaluate the difference between mean surgical time and a target value using a one-sample t-test.
Assess the power of a hypothesis test.
Page 1-5
1-19 1-20
Evaluate the differences in the mean number of customer complaints using a two-sample t-test.
Compare the difference in call center handling times using a two-sample t-test.
Compare the difference in household salaries in two neighborhoods with a two-sample t-test.
1-29 1-41 1-42
Statistical Inference and t-Tests
Copyright ? 2010 Minitab Inc. All rights reserved. Rel16 Ver 1.0
TRMEM160.SQBS
1-2
Examples and Exercises
Paired t-Test
Example 4 ATM Surrounds
Exercise D Car Satisfaction Ratings
Purpose
Evaluate the difference in ATM usage before and after installation of shelters Use a paired t-test to compare the difference in car satisfaction ratings one week and one year after customers purchase the car.
Contents Page
1-43 1-49
Statistical Inference and t-Tests
Copyright ? 2010 Minitab Inc. All rights reserved. Rel16 Ver 1.0
TRMEM160.SQBS
1-3
Choosing an Analysis
Choosing an Analysis
Statistical Inference and t-Tests
Copyright ? 2010 Minitab Inc. All rights reserved. Rel16 Ver 1.0
TRMEM160.SQBS
1-4
One-Sample t-Test
Example 1 Mortgage Process Time
Problem
A faster loan processing time produces higher productivity and greater customer satisfaction. A financial services institution wants to establish a baseline for their process by estimating their mean processing time. They also want to determine if their mean time differs from a competitor's claim of 6 hours.
Data collection
A financial analyst randomly selects 6 loan applications from the past 2 weeks and manually calculates the time between loan initiation and when the customer receives the institution's decision.
One-Sample t-Test
Tools
? 1-Sample t ? Normality test ? Time series plot
Variable Date Hours
Description
Date of customer notification
Number of hours until customer receives notification
Statistical Inference and t-Tests
Copyright ? 2010 Minitab Inc. All rights reserved. Rel16 Ver 1.0
TRMEM160.SQBS
1-5
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