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Chapter 10
Chapter 10

... Type II error: not rejecting p=.5, when p<.5. You fail to reject the null hypothesis that the referendum is favored by half, when the true referendum percentage is less than 50%. Probability(type I error)=α=.01 According the Project on Student Debt 2013, the average student debt for college students ...
Describing Location in a Distribution - WHS Home
Describing Location in a Distribution - WHS Home

Standard error
Standard error

1 Population and Sample Proportion
1 Population and Sample Proportion

... The finite population correction factor appears again. We can ignore it in the same three cases that we did when considering the sample mean. Observe that, as the sample size n increases, the standard deviation of the sample proportion gets smaller. That is, as the sample size increases, the sample ...
courses/ME242/Lab Files/A4_CharpyLab_1996
courses/ME242/Lab Files/A4_CharpyLab_1996

Session 04 Sampling Distributions
Session 04 Sampling Distributions

IQL Chapter 8
IQL Chapter 8

What values of Z 0 should we reject H 0
What values of Z 0 should we reject H 0

What values of Z 0 should we reject H 0
What values of Z 0 should we reject H 0

Page | WORKSHEET: Basics of Statistics and Polling EXERCISES
Page | WORKSHEET: Basics of Statistics and Polling EXERCISES

what is statistics?
what is statistics?

Quesation 1 - JustAnswer
Quesation 1 - JustAnswer

07 Box Plots, Variance and Standard Deviation
07 Box Plots, Variance and Standard Deviation

... commonly used variance and standard deviation. The standard deviation is simply the square root of the variance. To motivate our inquiry, suppose we have the following data and want to characterize the spread of the values: ...
Statistical Reasoning for Everyday Life
Statistical Reasoning for Everyday Life

sample mean - s3.amazonaws.com
sample mean - s3.amazonaws.com

... numbers are awkward to write and to do arithmetic with. We therefore move the decimal point nine places to the right, giving 24828, and then record only the deviation from 24800. The table entry 28 is short for the original 0.000024828, and the entry -2 stands for 0.000024798. This is called coding ...
Four possible outcomes of a hypothesis test
Four possible outcomes of a hypothesis test

Lab 11
Lab 11

Class Activity -Hypothesis Testing
Class Activity -Hypothesis Testing

Document
Document

Introduction-to-Statistics-1
Introduction-to-Statistics-1

Rogues and Suspects: How to Tackle Outliers
Rogues and Suspects: How to Tackle Outliers

using sas to compute variances for stratified samples
using sas to compute variances for stratified samples

Chapter 3: Data Description
Chapter 3: Data Description

Module 4: Introduction to the Normal Gamma Model
Module 4: Introduction to the Normal Gamma Model

Sampling Distributions
Sampling Distributions

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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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