Calculating sample proportion in excel
[DOC File]Formula Sheet and List of Symbols, Basic Statistical Inference
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If the expected proportion is more than half, then plan the sample size based on the proportion expected NOT to have the characteristic. That is, switch the roles of P and 1-P. If P or 1-P is very close to 0 or 1 (i.e. the characteristic of interest is rare or happens most of the time), the sample size formula of N = 1 / E2 is not appropriate.
[DOC File]Z-Score Practice Worksheet
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The S2 = the mean square within (MSW). Excel gives the MSW as the Within row MS column = 0.257 in this example. S2A = (MSA - MSW)/n0. And no is the weighted average number of observation per group (here we have 2 observations per individual, so no = 2, but you could have the case where you have different numbers of observations in each group.
[DOC File]pdp.sjsu.edu
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Since Sample 2 is the wives sample and Sample 1 is the husbands sample, and we subtracted the husband % from the wife %, we are willing to believe that in the respective populations the difference could be anywhere between 4.14% “in favor …
How to Do Proportions on Excel | Small Business
Title: Formula Sheet and List of Symbols, Basic Statistical Inference Author: Brian Stipak Last modified by: Brian Stipak Created Date: 2/1/2007 8:56:00 PM
[DOC File]Sampling and Sample Size - Columbia University
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A score of 60, where the mean score of the sample data values is 40. Z=2. A score that is 30 points below the mean. z=-3. A score of 80, where the mean score of the sample data values is 30. Z=5. A score of 20, where the mean score of the sample data values is 50. Z=-3. IQ scores have a mean of 100 and a standard deviation of 16.
[DOC File]Repeatability - California State University, Northridge
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For example, a population could be all the stripes on all the zebras in the world. The normal curve would show the proportion of stripes that have various widths. The standard deviation of a sample is a measure of the spread of the sample from the mean. In a normal distribution, about 68% of a sample is within one standard deviation of the mean.
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