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Population estimates. Refer to the previous exercise. One reason to do an audit such as this is to estimate the number of claims that would not be allowed if all claims in a population were examined by experts. We have an estimate of the proportion of claims from each stratum based on our sample. With our simple random sampling of claims from each stratum, we have an unbiased estimate of the corresponding population proportion for each stratum. Therefore, if we take the sample proportions and multiply by the population sizes, we have the estimates that we need. Here are the population sizes for the three strata:
Stratum
Claims in stratum
Small
3342
Medium
246
Large
58
(a) For each stratum, estimate the total number of claims that would not be allowed if all claims in the stratum had been audited.
(b) (Optional) Give margins of error for your estimates.
Assuming that n = 6 for both samples, calculate each of the sample variances, then calculate the pooled variance. Because the samples are the same size, you should find that the pooled variance is exactly halfway between the two sample variances.
Calculate the sample size needed given these factors:
the gauss markov theorem shows that ols is blue . so we of course hope and expect that our coeffcient estitames will
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Develop appropriate hypotheses such that rejection of H0 will support the researcher's contention and repeat the preceding hypothesis test using the critical value approach.
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