Power test for sample size

    • [DOC File]Power Practice Problems

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      Please determine power for a one-tailed, one sample t-test with a sample size of 15 and an effect size of -0.79. Please determine the power for a two-tailed independent samples t-test, with an effect size of -.24 and 10 participants in each group. Determine how large a sample size the experimenter would need for adequate power. Please determine ...

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    • [DOC File]Research/Statistics MCQs

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      A. Power is related to sample size and is a measure of the probability that the study will be able to detect a statistically significant difference if a difference truly exists. In this case a significant p value was found so the power was adequate. B. The p value looks highly significant but the 95% confidence interval ranges from –2% to +12%.

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    • [DOC File]Sampling and Sample Size - Columbia University

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      Use continuous variables instead of dichotomous variables, if this is an option. There is more information in a continuous variable and so you get greater power for a given sample size or a smaller sample size for a given power. Use paired measurements – this reduces the between-subject part of the variability of the outcome variable.

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    • [DOCX File]Have you done a statistical power calculation ... - OSHPD

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      What is the required sample size you need to test your hypothesis? Describe and justify the subset of records you are requesting. For example, a geographic subset (county), age-specific subset (under 18 years of age), or gender-specific subset (female).

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    • [DOC File]WRITING UP POWER ANALYSES

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      For 1 sample t-tests, power analyses indicated that there was a 94% chance for the expert group and an 85% chance for the novice group of detecting a medium effect size significant at the 5% level (two tailed).

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    • [DOC File]Power and Sample Size Calculation - Purdue University

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      This curve would be useful if the researcher knows a range of power that is desired. From this graph, we can see that lowering the power to 0.75 results in a sample size of around 100, whereas increasing the power to 0.80 results in a sample size of around 130. i. Power Curve for ANOVA. Sample size versus power.

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    • [DOC File]Power Spectral Density - the basics

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      Power Spectral Densfty (PSD) is the frequency response of a random or periodic signal. It tells us where the average power is distributed as a function of frequency. ... The estimate of the PSD (as calculated in MATLAB) becomes more accurate as the sample size becomes infinite. The mean of the PSDs of xl and x2 turn out to be very close to 1 ...

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    • [DOC File]Article links, Review Questions and Practice Problems

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      5.) The power analysis completed for the study determined that a minimum sample size needed to detect the smallest anticipated effect size was? 6.) What was the sample size for this study? 7.) Should this be an adequate sample to detect significant differences that do exist? 8.)

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    • [DOC File]Voice of the Customer (VOC) Worksheet

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      Sample size generally is 10% of your sample or > than 15. Gathering and Use of Data. Source of Data Customer Amount of Data to be Collected Start Date End Date Who will Collect Data Type of Survey (written, interview, focus group, etc) Other Written 6/05. Revised 6/06. Voice of the Customer (VOC)

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    • [DOC File]Sample Exam Questions

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      A) a test and some independent, widely accepted measure of that variable. B) one form of a test and another form of that test. C) the even-numbered items on a test and the odd-numbered items on that test. D) two administrations of the same test. 35. An arithmetic test is given twice within a few days to a student. The highest possible score is 40.

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