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Introduction to Statistics
Introduction to Statistics

... of 0.04. What does this mean? It means that there is a 0.04 or 4% chance that the difference between the two means is due to chance. This is very different from the first case. In general, when scientists see that there is a p-value of less than 0.05, they accept that the differences between the two ...
Sampling Distribution
Sampling Distribution

... The article describing the poll says that it “is based on telephone interviews conducted from Sept. 13 to Sept. 18 with 1,664 adults around the United States, excluding Alaska and Hawaii…The telephone numbers were formed by random digits, thus permitting access to both listed and unlisted residentia ...
May 2 - UEES
May 2 - UEES

Chapter 6 - More on confidence intervals
Chapter 6 - More on confidence intervals

CHAPTER 1
CHAPTER 1

PRODUCTIONS/OPERATIONS MANAGEMENT
PRODUCTIONS/OPERATIONS MANAGEMENT

introduction - KSU Web Home
introduction - KSU Web Home

lecture 17a compute p value
lecture 17a compute p value

Problem of the Day If you get an 87% on a test, what grade should
Problem of the Day If you get an 87% on a test, what grade should

Unit 18 TheCentral Limit Theorem
Unit 18 TheCentral Limit Theorem

Chapter 2
Chapter 2

Chapter 7 Solutions - Department of Statistics
Chapter 7 Solutions - Department of Statistics

Chapter 2
Chapter 2

Chapter 23 – Inferences About Means
Chapter 23 – Inferences About Means

Ch 3
Ch 3

... values and is therefore a valuable measure of location when such values occur. It ...
The Statistics Tutor`s Quick Guide to Commonly Used
The Statistics Tutor`s Quick Guide to Commonly Used

File - Jason Morton ePortfolio
File - Jason Morton ePortfolio

Ch 2: probability sampling, SRS
Ch 2: probability sampling, SRS

STA 291
STA 291

Statistics 6126 - University of Florida
Statistics 6126 - University of Florida

the normal distribution
the normal distribution

Danfoss: Optimizing control procedure in a mass
Danfoss: Optimizing control procedure in a mass

Students Matter. Success Counts.
Students Matter. Success Counts.

Sampling and estimation theories
Sampling and estimation theories

CORP: Minimizing the chances of false positives
CORP: Minimizing the chances of false positives

... hypothesis—we get a false positive— or we can fail to reject a false null hypothesis—we get a false negative.1 We control the chance that we get a false positive when we define the critical significance level ␣, the probability that we reject the null hypothesis given that the null hypothesis is tru ...
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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.
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