a) A student decides to create a confidence interval to predict what proportion of the student population has an Iphone.

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A A Student Decides To Create A Confidence Interval To Predict What Proportion Of The Student Population Has An Iphone 1 (56.4 KiB) Viewed 24 times

a) A student decides to create a confidence interval to predict what proportion of the student population has an Iphone. Previous studies have suggested that the proportion is about 70%, so he decides he needs to survey 2500 students to get a margin of error no more than 2 percentage points. If there were no previous studies available to suggest what the actual proportion was, would more or less students have to be surveyed to get the same margin of error or less? More Less 1 1 Cannot be Determined The Same b) Another student decides to create a 95% confidence interval to predict what the mean number of units the student population completes in their first year is. They want a confidence interval that has a margin of error that is no larger than 0.25, and determine they need 1000 students in their survey. If they wanted to create a 90% confidence interval instead, should they survey more or less students to get the same margin of error? More / Less The Same 1 Cannot be Determined c) Two students both created a confidence interval to predict the standard deviation of units the student population completes in their first year of college. The first student surveyed 100 people, the second surveyed 400. If they both had the same confidence level, the same sample mean, and the same sample standard deviation, which confidence interval will be wider? The first student The second student 1 The Same / Cannot be Determined d) #: 0° = 1.4 H: 09 * 1.4 a = 0.01 Given the null and alternative hypotheses above, a sample of size is n = 30 is gathered and the test statistic is found to be 42.760. Should they reject or not reject the null hypothesis? Reject/ Do Not Reject/ Cannot be Determined c) H: 4 = 23.6 H: 4 < 23.6 a = 0.05 Given the null and alternative hypotheses above, a sample of size is n = 40 is gathered and the null hypothesis is rejected. If it turns out that the population mean truly is 23.6, what kind of error has been committed? Type 1 7 Type II 7 No Error Committed Cannot be Determined H: P + 0.26 A) H: P = 0.26 a = 0.01 Given the null and alternative hypotheses above, a sample of size is n = 100 is gathered and a 99% confidence interval is created: (0.189, 0.249). Should they reject or not reject the null hypothesis? Reject/ Do Not Reject/ Cannot be Determined