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Class Session #5 - Descriptive Statistics
Class Session #5 - Descriptive Statistics

... • An established probability level which serves as the criterion to determine whether to accept or reject the null hypothesis • It represents the confidence that your results reflect true relationships • Common levels in education • p < .01 (I will correctly reject the null hypothesis 99 of 100 time ...
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Data Analysis and Surveying 101: Basic research methods and biostatistics

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... comparable to this survey. In a random sample of 10 employees, with the guarantee of anonymity, each reported their daily personal computer use. The times are recorded below. Employee Time ...
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Procedure for Performing T-tests with the TI-84

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Inferences About Two Means: Dependent Samples

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... Xi’s are independent and identically distributed (iid). If sampling is either with replacement or from an infinite (conceptual) population, Conditions 1 and 2 are satisfied exactly. These conditions will be approximately satisfied if sampling is without replacement, yet the sample size n is much sma ...
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MCQ Weeks 6-7

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... new “Fun Phonics” reading method is better than the “Letterland” method. You examine the reading power of 6 year old children from two similar ...
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STAT 509 – Section 3.6: Sampling Distributions Definition

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Chapter 8. Inferences about More Than Two Population Central

... (i.e., µ1 = µ2 = µ3 = µ4 = µ5 ) we might be tempted to run all possible pairwise comparisons of two population means. If we confirm that the five distributions are approximately normal with the same variance σ2, we could run 10 t tests comparing all pairs of means. ...
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Resampling (statistics)

In statistics, resampling is any of a variety of methods for doing one of the following: Estimating the precision of sample statistics (medians, variances, percentiles) by using subsets of available data (jackknifing) or drawing randomly with replacement from a set of data points (bootstrapping) Exchanging labels on data points when performing significance tests (permutation tests, also called exact tests, randomization tests, or re-randomization tests) Validating models by using random subsets (bootstrapping, cross validation)Common resampling techniques include bootstrapping, jackknifing and permutation tests.
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