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Sample size calculation confidence interval: >> http://bit.ly/2gXzfi3 << (download)
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17 Sep 2013 Step 1: Using the data given in the question, figure out the following variables: za/2: Divide the confidence interval by two, and look that area up in the z-table: .95 / 2 = 0.475. E (margin of error): Divide the given width by 2. 6% / 2. : use the given percentage. 41% = 0.41. : subtract from 1. 1 – 0.41 = 0.59.
This means we get started with a set level of confidence and margin of error. We can use these pieces to determine a minimum sample size needed to produce
8 Apr 2013 Before you can calculate a sample size, you need to determine a few Margin of Error (Confidence Interval) — No sample will be perfect,
As defined below, confidence level, confidence intervals, and sample sizes are all calculated with respect to this sampling distribution. In short, the confidence
2 Nov 2010
t(?, N-1) = Confidence interval = m +/- (t(?, N-1)*SEM). Mean = Lower bound: Upper bound: This calculator includes functions from the jStat JavaScript library.
Find out fast with our easy-to-use sample size calculator. smaller the margin of error, the closer you are to having the exact answer at a given confidence level.
How do I use it? Select the Confidence Level you want to work at. If you are sampling from a finite population (one that isn't very large), enter the Population Size
The confidence level tells you how sure you can be. It is expressed as a percentage and represents how often the true percentage of the population who would pick an answer lies within the confidence interval. The 95% confidence level means you can be 95% certain; the 99% confidence level means you can be 99% certain.
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