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STP226, Summer 99 Review notes for Test #1
STP226, Summer 99 Review notes for Test #1

Using SAS® to Create an Effect Size Resampling Distribution for a Statistical Test
Using SAS® to Create an Effect Size Resampling Distribution for a Statistical Test

... That is, the sample mean differs from the hypothesized mean by more than ½ an observed standard deviation for a medium effect size. For assessing clinical/operational significance the effect size is more meaningful than the p-value which is strongly influenced by the sample size. Note that in the on ...
11.2
11.2

Inferential Statistics and Hypothesis Testing
Inferential Statistics and Hypothesis Testing

Statistics - La Salle University
Statistics - La Salle University

a normal distribution
a normal distribution

... A range of values constructed from sample data so that the population parameter is likely to occur within that range at a specified probability. ...
Classroom Voting Questions: Elementary Statistics
Classroom Voting Questions: Elementary Statistics

... deviation was about 14 weeks. Knowing that you are a statistically-savvy person, your colleague asked you which is most likely the mean and which is the median? (a) 4.5 is the mean and 9.9 is the median. (b) 4.5 is the median and 9.9 is the mean. (c) Neither (A) nor (B) is possible given the SD of t ...
Statistics Statistics - Lying without sinning? Lies, damned lies, and statistics 1954
Statistics Statistics - Lying without sinning? Lies, damned lies, and statistics 1954

... Answer: 5.82 ± 0.36 nM or 5.8 ± 0.4 nM Learn how to use the statistical functions on your calculator. Do this example by longhand calculation once, and also by calculator to verify that you’ll get exactly the same answer. Then use your calculator for all future calculations. ...
Let`s explore SAS Proc T-Test
Let`s explore SAS Proc T-Test

Chapter 24
Chapter 24

Solution to Graded Assignment 1
Solution to Graded Assignment 1

... population). Find z .0075 using the Normal table (If you have several values of z that you can use, pick the average of the extreme ones.) and use it to compute a 98.5% confidence interval. Does the mean differ significantly from 50 now? From 40? Why? Solution: Make a diagram! The diagram for z will ...
Estimation in One-Sample Problems Chapter 2 Learning objectives
Estimation in One-Sample Problems Chapter 2 Learning objectives

Practical Statistical Questions
Practical Statistical Questions

Lecture 8 Quantitative Procedures (2)
Lecture 8 Quantitative Procedures (2)

... When we have more than two groups and want to test for mutual mean difference between all the groups we usually use a form of the ANOVA method. The term is actually confusing as the test compares the means of the various groups but it does so by computing and comparing the different population varia ...
Lecture 8
Lecture 8

8.4--Confidence Intervals for One Population Mean When is Unknown
8.4--Confidence Intervals for One Population Mean When is Unknown

Analyzing a Survey The Lesson Activities will help you meet these
Analyzing a Survey The Lesson Activities will help you meet these

... simulation, found on the Simulation tab of the spreadsheet. To use it, enter a population mean and population standard deviation in the two yellow cells at the top of worksheet and follow the instructions. Every time a new set of data is generated, the data changes, providing a new sample. You can c ...
Chapter 1 Statistical Distributions
Chapter 1 Statistical Distributions

Practice Test Ch. 1
Practice Test Ch. 1

Confidence regions and tests for a change
Confidence regions and tests for a change

sample mean
sample mean

Hypt. tests - application
Hypt. tests - application

95% confidence interval
95% confidence interval

STAT 210: Final Exam
STAT 210: Final Exam

Stats review
Stats review

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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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