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## PY 211: Test 2 Study Guide

by: Jennifer Scheuer

92

4

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# PY 211: Test 2 Study Guide PY 211

Jennifer Scheuer
UA
Elem Statistical Methods
Andre Souza

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Study guide covering lectures covered on Test 2.
COURSE
Elem Statistical Methods
PROF.
Andre Souza
TYPE
Study Guide
PAGES
0
WORDS
CONCEPTS
Statistics
KARMA
50 ?

## Popular in Psychlogy

This 0 page Study Guide was uploaded by Jennifer Scheuer on Tuesday March 22, 2016. The Study Guide belongs to PY 211 at University of Alabama - Tuscaloosa taught by Andre Souza in Spring 2016. Since its upload, it has received 92 views. For similar materials see Elem Statistical Methods in Psychlogy at University of Alabama - Tuscaloosa.

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Date Created: 03/22/16
PY 211 Exam 2 Study Guide Chapter 8 Hypothesis Testing Sample statistic is a random variable gt Different samples of the same population have different statistics oCentral Limit Theorem gtGiven a large enough sample random samples of the population mean will form a normal distribution a sampling distribution the mean of that distribution will converge to the true population mean the weighted average of all possible values a variable can take Sampling Distribution gtThe mean of the sampling distribution is the mean of the population gtStandard deviationI standard error of the mean 11 gtAs n increases the variance decreases the precision of the estimate of the statistic increases I 5 o gt Distribution of sample statistics variability of the statistics from one sample to another gtTells us what values are expected under prede ned conditions oHypothesis Testing gtSystematic way to test claims or ideas about a group or population gtDetermine the likelihood a sample statistic would be selected if the hypothesis regarding the population parameter were true gt Four basic steps 1 State the hypothesis 2Set a criteria for decision choose an alpha level 3Compute a statistic 4Make a decision statement about the value of a population parameter Usually states no effects population parameter falls in an alternative ranger of values than the null Good and Bad Hypothesis gtGood hypothesis can be falsi ed IV IV IV gtYou always prove the null to be false not prove anything to be true gtType 1 Error reject the null when it is true falsepositive gtType 2 Error fail to reject the null when it is false false negaUve Chapter 12 Onesample ttest Sample variance can be used as an estimate of the population vadance gt Distribution is positively skewed gtThe sample variance will most likely underestimate gtYou will get a larger 2 when using the sample variance 56 gt i J7 gtT distribution varies as a function of degrees of freedom gtSkewness of the sampling distribution disappears as degrees of freedom increases gtSymmetric around a mean of 0 gtHas thicker tails and is more spread out than normal distribution

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