chapter11
chapter11

... A pharmaceutical company wants to test its new weight-loss drug. Before giving the drug to volunteers, company researchers weigh each person. After a month of using the drug, each person’s weight is measured again. ...
Chapter 11
Chapter 11

... A pharmaceutical company wants to test its new weight-loss drug. Before giving the drug to volunteers, company researchers weigh each person. After a month of using the drug, each person’s weight is measured again. ...
Document
Document

AP Statistics – Classwork 1/12/15 1. Identify the population, the
AP Statistics – Classwork 1/12/15 1. Identify the population, the

Chapter 12 Sample surveys X1 X2 . . . Xn Population: the entire
Chapter 12 Sample surveys X1 X2 . . . Xn Population: the entire

infer
infer

Introduction to Statistical Methods
Introduction to Statistical Methods

Chapter 11/12 Review 1. The mean weight of loaves of bread
Chapter 11/12 Review 1. The mean weight of loaves of bread

Class 3 - Courses
Class 3 - Courses

Statistics - Groch Biology
Statistics - Groch Biology

Measure of Dispersion or Variability
Measure of Dispersion or Variability

Math 7 Statistics - PRACTICE TEST
Math 7 Statistics - PRACTICE TEST

Practice Test #2
Practice Test #2

Class 15. The Central Limit Theorem
Class 15. The Central Limit Theorem

Chapter 5: Statistical Reasoning Assignment #1: Unit 5A
Chapter 5: Statistical Reasoning Assignment #1: Unit 5A

June 1
June 1

Week 3 - Wei
Week 3 - Wei

Species
Species

Unit-14-Confidence-Interval-for
Unit-14-Confidence-Interval-for

23 - Analysis of Variance
23 - Analysis of Variance

1 PubH 6414 NAME: Practice Exam 2 1. Cervical cancer patients
1 PubH 6414 NAME: Practice Exam 2 1. Cervical cancer patients

Assignments
Assignments

Basic principles of probability theory
Basic principles of probability theory

Sample Size for Confidence Intervals 1. The
Sample Size for Confidence Intervals 1. The

6. Hypothesis Testing and the Comparison of 2 or More Populations
6. Hypothesis Testing and the Comparison of 2 or More Populations

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.