Name _________________________ Date _____ Class _____ Cumulative Review Assignment
Name _________________________ Date _____ Class _____ Cumulative Review Assignment

Statistical Graphics
Statistical Graphics

Chapter 6 The t-test and Basic Inference Principles
Chapter 6 The t-test and Basic Inference Principles

Name: Date: ______ 1. A 95% confidence interval for the mean μ of
Name: Date: ______ 1. A 95% confidence interval for the mean μ of

Name: Exam 1 Stat 200 Thompson March 2011 Each question is
Name: Exam 1 Stat 200 Thompson March 2011 Each question is

here
here

These 16 problems are from your textbook. Only the highlighted
These 16 problems are from your textbook. Only the highlighted

Probability 2
Probability 2

Section 6abc review and key
Section 6abc review and key

Chapter 18
Chapter 18

Alg II Module 4 Lesson 20 Margin of Error When Estimating a
Alg II Module 4 Lesson 20 Margin of Error When Estimating a

Lecture 18 - Measuring Variation 3
Lecture 18 - Measuring Variation 3

Chi-Square Practice File
Chi-Square Practice File

Design of Engineering Experiments Part 2
Design of Engineering Experiments Part 2

Hypothesis Testing Using z- and t-tests In hypothesis testing, one
Hypothesis Testing Using z- and t-tests In hypothesis testing, one

Document
Document

CHAPTER 6 CONTINUOUS PROBABILITY DISTRIBUTIONS
CHAPTER 6 CONTINUOUS PROBABILITY DISTRIBUTIONS

Math 109 exam I practice
Math 109 exam I practice

PowerPoint
PowerPoint

Midterm 1 - STAT 301 Spring 2013 Name: UIN: Signature: Version A
Midterm 1 - STAT 301 Spring 2013 Name: UIN: Signature: Version A

How Many Simulation Runs Are Required
How Many Simulation Runs Are Required

variance! - Interpersonal Research Laboratory
variance! - Interpersonal Research Laboratory

... X = 68  X2 = 1034 ...
Exam 3 - TAMU Stat
Exam 3 - TAMU Stat

Statistics 110 – Summer II 2006 Name
Statistics 110 – Summer II 2006 Name

... n1 n1 (3 pts) Next, we need a p-value. [Calculator] STAT  TESTS  4:2-SampTTest gives a p-value of 0.1489. [by hand] Use the row of Table C corresponding to the smaller of n1 – 1 = 19 or n2 – 1 = 21 degrees of freedom. We see that our t-statistic is bracketed by 1.328 and 1.729, corresponding to a ...
Slide 1
Slide 1

Student's t-test

A t-test is any statistical hypothesis test in which the test statistic follows a Student's t-distribution if the null hypothesis is supported. It can be used to determine if two sets of data are significantly different from each other, and is most commonly applied when the test statistic would follow a normal distribution if the value of a scaling term in the test statistic were known. When the scaling term is unknown and is replaced by an estimate based on the data, the test statistic (under certain conditions) follows a Student's t distribution.