Calculate the range of Commuting Time in your sample. Using the rule-of-thumb discussed in the learning area, how many bins do you propose to use for grouping Commuting Time? As director of human resources you have collected data on college major and commuting time(in minutes) between home and work from 20 employees. Your sample information is given inthe table below.Employee1234567891011121314151617181920College Major Commuting TimeEnglishMath/PhysicsPsychologyEconomicsEconomicsMath/PhysicsEnglishMath/PhysicsPsychologyEconomicsPsychologyPsychologyMath/PhysicsEconomicsMath/PhysicsMath/PhysicsEnglishPsychologyEconomicsEconomics75.034.220.859.515.143.337.962.018.616.151.98.034.230.128.742.418.926.014.130.5

The given data is as follows. Employee College Major Commuting Time 1 English 75.0 2…

Answered: As director of human resources you have…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Imagine that you own a coffee shop in downtown Toronto. You think it's time to expand to a second location in a different part of the Greater Toronto Area. However, you need to make sure that the second location you have selected will be as popular with customers as your current location. You want to do a survey. You know you can't ask everyone, so you need to ask a sample. PART 1: What process should you follow to select your sample? choices are simple, systematic, stratified, and cluster sampling. PART 2: What is the best way to administer your survey to make sure you get enough responses to give you a good representative sample?
You are the operations manager for an airline and you are considering a higher fare level for passengers in aisle seats. How many randomly selected air passengers must you survey? Assume that you want to be 95% confident that the sample percentage is within 5.5 percentage points of the true population percentage. Complete parts (a) and (b) below. a. Assume that nothing is known about the percentage of passengers who prefer aisle seats. n = (Round up to the nearest integer.) b. Assume that a prior survey suggests that about 34% of air passengers prefer an aisle seat. n = IDound un to the nearest integer)
You are the operations manager for an airline and you are considering a higher fare level for passengers in aisle seats. How many randomly selected air passengers must you survey? Assume that you want to be 90% confident that the sample percentage is within 4.5 percentage points of the true population percentage. Complete parts (a) and (b) below. a. Assume that nothing known about the percentage of passengers who prefer aisle seats. n= 335 (Round up to the nearest integer.) b. Assume that a prior survey suggests that about 38% of air passengers prefer an aisle seat. (Round up to the nearest integer.)
You gather data from two local churches about the average offering (a monetary donation to the church)that is collected at a weekly service. You want to see whether the average offering given at one churchis the same as the average offering at another church. The number of people who attend Church 1 is201, and the average amount offered is $12.50. The number of people who attend Church 2 is 350, andthe average amount offered is $11.87. The sample standard deviations for Church 1 and Church 2 are$3.15 and $4.57, respectively. (a) What is the hypothesis you want to test? (b) Calculate the test statistic and test your hypothesis at the 95 and 99 percent confidence levels. (c) Pretend that the sample means and standard deviations remain the same, but that the numberof people sampled at Church 2 was 201 instead of 350. Does your test-statistic change? Does the critical value change?
You are the operations manager for an airline and you are considering a higher fare level for passengers in aisle seats. How many randomly selected air passengers must you survey? Assume that you want to be 99% confident that the sample percentage is within 4.5 percentage points of the true population percentage. Complete parts (a) and (b) below. a. Assume that nothing is known about the percentage of passengers who prefer aisle seats. n = 820 (Round up to the nearest integer.) b. Assume that a prior survey suggests that about 39% of air passengers prefer an aisle seat. n=0 (Round up to the nearest integer.) C
Answer Task A only
You are the operations manager for an airline and you are considering a higher fare level for passengers in aisle seats. How many randomly selected air passengers must you survey? Assume that you want to be 95% confident that the sample percentage is within 5.5 percentage points of the true population percentage. Complete parts (a) and (b) below. a. Assume that nothing is known about the percentage of passengers who prefer aisle seats. (Round up to the nearest integer.) b. Assume that a prior survey suggests that about 33% of air passengers prefer an aisle seat. n3= (Round up to the nearest integer.)
You are the operations manager for an airline and you are considering a higher fare level for passengers in aisle seats. How many randomly selected air passengers must you survey? Assume that you want to be 90% confident that the sample percentage is within 2.5 percentage points of the true population percentage. Complete parts (a) and (b) below. a. Assume that nothing is known about the percentage of passengers who prefer aisle seats. n=1083 (Round up to the nearest integer.) b. Assume that a prior survey suggests that about 33% of air passengers prefer an aisle seat. n=? (Round up to the nearest integer.)
You are the operations manager for an airline and you are considering a higher fare level for passengers in aisle seats. How many randomly selected air passengers must you survey? Assume that you want to be 95% confident that the sample percentage is within 1.5 percentage points of the true population percentage. Complete parts (a) and (b) below. a. Assume that nothing is known about the percentage of passengers who prefer aisle seats. n= (Round up to the nearest integer.) b. Assume that a prior survey suggests that about 38% of air passengers prefer an aisle seat. @ 2 S n= (Round up to the nearest integer.) x дв nd # 3 E D BO C $ R F V 5 T G 6 B Y H 7 N *99 U J . 8 DHE I M ( 9 K be O O L 1 P command Time Remaining: 01:09:52 > ; I { [ option ? | . Next 1 delete
K The accompanying data represent the wait time (in minutes) for a random sample of 40 visitors to a popular attraction in a large amusement park. Use the sample data to complete parts (a) through (d). Click the icon to view the data for wait times. Wait times 7 6454256200 15 32 23 8 . 9 44 10 9 33 55 1 27 6 9 6 Print 22 7 23 10 25 25 16 54 3 9 32 Done *** 0 3 6 12 5 3 7 8 13 7 16 C - X

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