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Chapter 4-1. Sample Size Determination and Power
Chapter 4-1. Sample Size Determination and Power

... Linear Regression: Comparing two groups adjusted for covariates Usually when linear regression is applied in research, it involves the comparison of two groups after adjusting for potential confounders. That is, it is an adjusted means comparison problem. Sample size calculation, then, is simply on ...
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... C) The likelihood that any confidence interval based on a sample of 400 graduates will contain the population mean is 0.95 D) There is a 5% chance that the computed interval does not contain the population mean. Answer: C Difficulty: Medium Goal: 3 ...
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Chapter 7 Lecture Notes

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Chapter 7

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Chapter 7

... 2.3 percentage points in either direction from the percentage that would be found by interviewing all adults in the United States. Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. ...
Equivalence Tests for Two Means in a 2x2 Cross-Over
Equivalence Tests for Two Means in a 2x2 Cross-Over

... This procedure calculates power and sample size of statistical tests of equivalence of the means of a 2x2 cross-over design which is analyzed with a t-test. Schuirmann’s (1987) two one-sided tests (TOST) approach is used to test equivalence. Only a brief introduction to the subject will be given her ...
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The Effects of Data and Graph Type on Concepts and Visualizations

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Connecting Students to College Success - AP Central

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AAE 520 Uncertainity..

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Describing the distribution of a single variable

8. Hypothesis: king cheetahs on average run the same speed as
8. Hypothesis: king cheetahs on average run the same speed as

... makes it more likely that you are near-sighted. (b) the p-value is small, so sleeping in a dark room makes it more likely that you are near-sighted. (c) the p-value is small, so a higher proportion of children who sleep in light rooms are near-sighted than who sleep in dark rooms. (d) because plit r ...
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The Best of Both Worlds: A Hybrid Approach to Calculating Value

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Test Statistic for Testing a Claim About a Proportion P

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... of 3.21 is “unusual” (because it is greater than 2). It appears that in addition to being greater than 0.5, the sample proportion of 13/14 or 0.929 is significantly greater than 0.5. The figure on the next slide shows that the sample proportion of 0.929 does fall within the range of values considere ...
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... samples of the same size. In the long run, 9 of every 10 such intervals will contain μ. ...
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Misuse of statistics

Statistics are supposed to make something easier to understand but when used in a misleading fashion can trick the casual observer into believing something other than what the data shows. That is, a misuse of statistics occurs when a statistical argument asserts a falsehood. In some cases, the misuse may be accidental. In others, it is purposeful and for the gain of the perpetrator. When the statistical reason involved is false or misapplied, this constitutes a statistical fallacy.The false statistics trap can be quite damaging to the quest for knowledge. For example, in medical science, correcting a falsehood may take decades and cost lives.Misuses can be easy to fall into. Professional scientists, even mathematicians and professional statisticians, can be fooled by even some simple methods, even if they are careful to check everything. Scientists have been known to fool themselves with statistics due to lack of knowledge of probability theory and lack of standardization of their tests.
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