STAT 2040 Lecture Notes - Lecture 8: Confidence Interval, Simple Random Sample, Sampling Distribution
3 Mar 2017
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Other supporting videos for this chapter (not given elsewhere in this chapter): finding the appropriate z value for the con dence interval formula (5:37) (http://youtu. be/grodolzthy4) Confidence intervals from u when sampling from a normally distributed population: An assumption of a normally distributed population is not significant if the population is large due to the central limit theorem. Case 1: when sigma is known (the population standard deviation) In the real world we wouldn"t need to find the confidence interval if sigma is known. In reality, you wouldn"t know sigma without knowing the mean. A(1-alpha) 100% confidence interval for u has the endpoints: Con dence intervals are calculated using sample data, and they give a range of plausible values for a parameter. Example 0. 1 polling agencies like the gallup organization often conduct telephone polls investigating public opinion of the president of the united states.
