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Independent Samples: Comparing Means
Independent Samples: Comparing Means

exam_questions
exam_questions

Chapter 6 Slides
Chapter 6 Slides

... estimated based on previous research or pilot study • The sample size giving this margin of error is: z  ...
Hey People—It`s Not Math—It`s STATISTICS!
Hey People—It`s Not Math—It`s STATISTICS!

... • My goal is not to make my students software experts; rather it is to use a relatively powerful yet easy to use mechanism designed to effectively teach the discipline of statistics to them. • I would not be averse to utilizing a more sophisticated statistical package such as Minitab or SAS to do wh ...
Inference for a Population Mean Statistics 111
Inference for a Population Mean Statistics 111

Theoretical Framework
Theoretical Framework

Fall 2015
Fall 2015

chapter6
chapter6

Powerpoint
Powerpoint

... students, the mean and standard deviation on this exam equal 508 and 100. 1. Set up hypotheses for a significance test. 2. Compute the test statistic. 3. Report the P-value, and interpret. 4. Can you conclude that the population mean for students born in a foreign country equals 500? Why or why not? ...
Notes 19 - Wharton Statistics
Notes 19 - Wharton Statistics

sampling distribution
sampling distribution

1 Inference for the difference between two population means µ1 − µ2
1 Inference for the difference between two population means µ1 − µ2

... 4. P-value: Since we perform a lower tail test the P-value = P (t < t0 ) = P (t > abs(t0 )). Use table IV from the text book. Focus on row with df = 7, observe that abs(t0 ) = 4.65 is larger than the largest the value in this row, 3.499. Here: 3.499< 4.65. Then the P-value is smaller than the upper ...
t α/2
t α/2

chapter 6
chapter 6

Basic Statistics and how to calculate them in a TI
Basic Statistics and how to calculate them in a TI

ppt
ppt

... Generalization refers to the degree to which the mean of a representative sample is similar to or deviates from the mean of the larger population. This generalization is based on a distribution of sample means for all possible random samples. This distribution is called a Sampling Distribution. It d ...
Math 115 Final Review
Math 115 Final Review

1) Which level of measurement is required for the median? A
1) Which level of measurement is required for the median? A

... C. The data must be at least interval scale. D. It is not necessary to make any assumption about the shape of the population. D. It is not necessary to make any assumption about the shape of the population. 23) Which of the following is not a characteristic of the X2 A. Its shape is based on the sam ...
Statistics 13C Spring 2009
Statistics 13C Spring 2009

Notes 15
Notes 15

PowerPoint
PowerPoint

Hypothesis Testing
Hypothesis Testing

Refresher in statistics
Refresher in statistics

LECTURE 14 (Week 5)
LECTURE 14 (Week 5)

11paired_t
11paired_t

< 1 ... 197 198 199 200 201 202 203 204 205 ... 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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