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## PRIN OF STATISTICS

by: Giovani Ullrich PhD

31

0

3

# PRIN OF STATISTICS STAT 101

Giovani Ullrich PhD
ISU
GPA 3.5

Staff

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COURSE
PROF.
Staff
TYPE
Class Notes
PAGES
3
WORDS
KARMA
25 ?

## Popular in Statistics

This 3 page Class Notes was uploaded by Giovani Ullrich PhD on Saturday September 26, 2015. The Class Notes belongs to STAT 101 at Iowa State University taught by Staff in Fall. Since its upload, it has received 31 views. For similar materials see /class/214413/stat-101-iowa-state-university in Statistics at Iowa State University.

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Date Created: 09/26/15
Chapter 18 Part II Sampling Distribution for the Sample Mean Population parameters 1994 Senators Population Parameter Sample of 10 Senators One Quantitative Variable 7 Age 7 Height Sample statistics Example SRS characteristics Value of Changes from sample to sample Different from population parameter Sampling Distribution of Sample Mean Summarize 7 Center Mean 7 Spread Standard Deviation 7 Shape Sampling Distribution of Sample Mean Mean Center Long Term Behavior of Sample Mean Repeat taking SRS of size n 10 Assumptions Three conditions l Sample must be random sample 2 Sample must be independent values 3 Sample must be less than 10 of population Sampling Distribution for Sample Mean Standard Deviation Spread Sampling Distribution for Sample Mean 0 Distribution of Population Values for Quantitative Variable is Norma Central Limit Theorem As the sample size 11 increases the sample mean calculated from a sample of size n has a sampling distribution that tends toward a How large cloes n need to be Depends on shape of population distribution 7 Symmetric Sampling Distribution for Sample Mean Distribution of Population Values for Quantitative Variable is nonnormal Central Limit Theorem Major Result in Statistics When Population Values Come from a Normal Distribution Central Limit Theorem does not apply How large cloes n need to be Depends on shape of population distribution skewed

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