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Chapter 11
Chapter 11

... 9. Substitute numbers to get t ratio ...
1. You are testing H0 : µ = 10 vs H a : µ < 10 based on a random
1. You are testing H0 : µ = 10 vs H a : µ < 10 based on a random

10-06 lecture
10-06 lecture

Ch 5 Elementary Probability Theory
Ch 5 Elementary Probability Theory

... A sampling method is independent when the individuals selected for one sample do not dictate which individuals are in a second sample.  Randomly divide seniors into two groups then test using different curriculums.  Randomly divide patients into two groups and test a new medication giving one grou ...
Results & Data Analysis
Results & Data Analysis

... three of more independent groups (F statistic) ...
April 27
April 27

∑ ( ) ( )
∑ ( ) ( )

... sx = n n −1 n n −1 ∑ zxz y z = x − x z = y − y r= x y n −1 sx sy sy b=r a = y − bx yˆ = a + bx residual = y − yˆ sx Sampling Distribution of p̂ : ...
Statistics and computer
Statistics and computer

Comparing Two Groups
Comparing Two Groups

ppt
ppt

Chapter 8 Minitab Recipe Cards
Chapter 8 Minitab Recipe Cards

... respectively) in the First row and the equivalent figures for the premium sample (17, 33.4 and 1.1) in the Second. • For the pooled estimate of the standard error tick Assume equal variances. ...
Permutation tests - People Server at UNCW
Permutation tests - People Server at UNCW

... – randomly "sample" all the m+n observations so there are m in group1 and n in group2. – compute the difference between the means of the two groups of the "sampled" vector, D. – repeat this procedure a large number of times (1000 or larger). For an upper-tailed test, calculate the empirical p-value: ...
< 1 ... 225 226 227 228 229

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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