Larger confidence intervals are more reliable anemic population parameters. The
ID: 3223078 • Letter: L
Question
Larger confidence intervals are more reliable anemic population parameters. The area under the density curve of t distribution between the critical values -twin- and at/2, n - i is 1-a. An insurance company sets up a statistical test with a null hypothesis that the average time for processing a claim is 7 days, and an alternative hypothesis that the average time for processing a claim is greater than 7 days. After completing the statistical test, it is concluded that the average time exceeds 7 days. However, it is eventually learned that t mean process time is really 7 days. This is an example of a Type II error in the hypothec test. A Type I error involves not rejecting the null hypothesis Ho when Ho is false In hypothesis test, increasing the sample size will reduce the change of making T> I error. Sample standard deviation S can be used in both z test and t test but understand different conditions. The smaller the p-value in a test of hypothesis, the more significant/stronger the results areExplanation / Answer
3:
Yes it is true. Because t distribution is symmetric.
4:
It is an example of type I error. Here we reject the true null hypothesis.
Hence, it is false.
5:
The type I error is probability of rejecting true null hypothesis.
Hence, it is false.
6:
Increasing the sample size increase the test statistics. So chances of rejecting the null hypothesis reduces. So chances of type I error reduces.
Hence, it is true.
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