Finding Fact Sample For Confidence Interval
Description
How to fill out Motion To Make Specific Findings Of Fact And State Conclusions Of Law - Domestic Relations?
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FAQ
Strictly speaking a 95% confidence interval means that if we were to take 100 different samples and compute a 95% confidence interval for each sample, then approximately 95 of the 100 confidence intervals will contain the true mean value (?).
The most common sample sizes DDL sees for attribute tests are 29 and 59. For example, to obtain a 95% confidence that your product's passing rate is at least 95% ? commonly summarized as ?95/95?, 59 samples must be tested and must pass the test.
The 95% confidence interval defines a range of values that you can be 95% certain contains the population mean. With large samples, you know that mean with much more precision than you do with a small sample, so the confidence interval is quite narrow when computed from a large sample.
For example, if you are estimating a 95% confidence interval around the mean proportion of female babies born every year based on a random sample of babies, you might find an upper bound of 0.56 and a lower bound of 0.48. These are the upper and lower bounds of the confidence interval. The confidence level is 95%.
Confidence interval = sample mean ± margin of error To obtain this confidence interval, add and subtract the margin of error from the sample mean. This result is the upper limit and the lower limit of the confidence interval.
