Essay about Final Exam Math 302 Amu - 2728 Words

------------------------------------------------- Top of Form Final Exam_MATH302 Table of Contents Part 1 of 1 - | Question 1 of 25 | 1.0 Points | | A lawyer researched the average number of years served by 45 different justices on the Supreme Court. The average number of years served was 13.8 years with a standard deviation of 7.3 years. What is the 95% confidence interval estimate for the average number of years served by all Supreme Court justices? Place your limits, rounded to 1 decimal place, in the blanks. Place you lower limit in the first blank. Place your upper limit in the second blank. When entering your answer do not use any labels or symbols. Simply provide the numerical value. For example, 12.3 would be a†¦show more content†¦These data are also available in the worksheet Batteries in the Excel workbook MATH302_Final.xls. At the .05 level of significance, is there evidence to suggest that the mean life length of the batteries produced by this manufacturer is more than 400 hours? | MATH302_Final.xls | 15 kb | | | A. No, because the p-value for this test is equal to .1164 | | | | B. Yes, because t he test value 1.257 is less than the critical value 1.782 | | | | C. No, because the test value 1.257 is greater than the critical value 1.115 | | | | D. Yes, because the test value 1.257 is less than the critical value 2.179 | | Reset Selection | Question 6 of 25 | 1.0 Points | | A survey of 85 families showed that 36 owned at least one DVD player. Find the 99% confidence interval estimate of the true proportion of families who own at least on DVD player. Place your limits, rounded to 3 decimal places, in the blanks. Place the lower limit in the first blank and the upper limit in the second blank When entering your answer do not use any labels or symbols other than the decimal point. Simply provide the numerical values. For example, 0.123 would be a legitimate entry. | Question 7 of 25 | 1.0 Points | An agent for a residential real estate company in a large city would like to be able to predict the monthly rental cost of apartments