ikramkeyslo4s
2022-03-26
strahujufl75
Beginner2022-03-27Added 8 answers
Explanation:
Confidence intervals are characterized by two things: sample means and standard errors. The sample mean gives you the center of the interval, and the standard error helps define the radius. We shall write for the confidence interval. Remember in this context we're talking about proportions, so we need the material from the previous question you asked, of which I will use freely.
Recall that the standard error is , where n is the sample size and is the standard deviation of the associated distribution. As we're using a binomial distribution,
Now that makes things a great deal easier. The second part of the radius relies on this , the z-score associated with a particular alpha-level. What is this alpha-level? Take your confidence level and subtract from one, done. For a 90% confidence level, the alpha-level is 0.1, so we must search in a normal distribution table for a z-score whose left tail area is 0.05. I'll leave it to you to see that this is approximately 1.645 (one of the magic numbers to remember).
The radius is then , which, according to some texts I've seen, but this may vary on the source, is the margin of error.
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