MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- The Insurance Institute for Highway Safety publishes data on the total damage suffered by compact automobiles in a series of controlled, low-speed collisions. The cost for a sample of 9 cars, in hundreds of dollars, is provided below. 10, 6, 8, 10, 5, 3.5, 7.5, 7,9.5 Find interquartile range for mileage data and value of variance.arrow_forwardWe will refer to the data table below as "Facebook_Survey_Sample". In the first column 1:="yes" and 0:="no" In the "Gender" column 1:="Female" and 0:="Male" VisitsPerWeek Friends 1 45 100 0 0 1 25 60 1 40 80 m 1 40 60 0 0 1 15 40 1 30 25 80 150 90 Facebook 1 1 200 Age 34 65 46 29 21 25 22 18 42 52 Gender 1 0 0 1 1 1 1 1 Make a scatter plots by sex for VistsPerWeek vs. Friends for those in the Facebook_Survey_Sample who have a facebook account.arrow_forwardLet's use SPSS to run a one-sample t-test! Imagine that you are interested in whether the number of hours students in a statistics course work each week differs from the average number of hours reported by the general student body at ASU. Thankfully, you have a data set that consists of information from students in a statistics course, including how many hours they work each week ("workhours"). You also happen to know that the average number of hours worked each week by the general student population at ASU is 25. Use the data provided to conduct a one sample t-test in SPSS comparing the sample data to the population mean.. The dependent variable for your test should be "workhours". Based on your output, the average number of hours worked each week by a sample is ________ . Enter your answer rounded to two decimal places (i.e., 10.01, not 10.1, not 10.0, not 10.010).arrow_forward
- The provided table shows the in-state undergraduate tuition in 2014 and 2018 for 33 public universities.Virginia's data was identified as an unusual observation. Remove it from the dataset before performing the following analysis.Year2014Year2018Year2014Year2018Year2014Year2018UniversityUniversityUniversityPenn State17,50218,454Ohio State10,03710,726Texas979810,606Pittsburgh17,77219,080Virginia12,99817,564Nebraska80709154Michigan13,48615,262Cal-Davis15,58914,463lowa80799267Rutgers14,29714,974Cal-Berkeley12,97214,184Colorado10,78912,532Michigan StateCal-Irvine14,75715,614Iowa State7731898813,81314,460Purdue10,0029992North Carolina83468987Maryland942710,595Illinois15,02015,094Cal-San Diego13,45614.199Kansas10,44811,148Minnesota13,62614,693Oregon991811.898Arizona10,95712,487Missouri11,02112,055Wisconsin10,41010,555Florida63136381Buffalo887110,099Washington12,39411,517Georgia Tech11,39412,424Indiana10,38810,681UCLA13,02913,774Texas A&M917910,968Click to download the data in your…arrow_forwardAccording to the National Health and Nutrition Examination Survey (NHANES) sponsored by the U.S. government, a random sample of 712 males between 20 and 29 years of age and a random sample of 1,001 males over the age of 75 were chosen and the weight of each of the males were recorded (in kg). Do the data provide evidence that the younger male population weighs more (on average) than the older male population? Use “Y” for ages 20-29 and “S” for ages 75+. It was found that x̅Y=83.4, sY=18.7, x̅S=78.5, and sS=19.0. a)Suppose the test statistic is t = 2.398. What is the associated p-value? Group of answer choices 0.001 < p-value < 0.002 0.005 < p-value < 0.01 0.01 < p-value < 0.02 0.0005 < p-value < 0.001 b) Suppose the p-value is 0.02 < p-value < 0.04. At α = 0.10 what is the appropriate conclusion to make? Group of answer choices Fail to reject H0 and conclude that the mean weight of all males ages 20-29 is greater than the mean weight of all…arrow_forwardAccording to the National Health and Nutrition Examination Survey (NHANES) sponsored by the U.S. government, a random sample of 712 males between 20 and 29 years of age and a random sample of 1,001 males over the age of 75 were chosen and the weight of each of the males were recorded (in kg). Do the data provide evidence that the younger male population weighs more (on average) than the older male population? Use “Y” for ages 20-29 and “S” for ages 75+. It was found that x̅Y=83.4, sY=18.7, x̅S=78.5, and sS=19.0. A) What are the correct null and alternative hypotheses? B)What is the parameter of interest? The difference between the mean weight of all males ages 20-29 and the mean weight of all males ages 75+ The mean weight (in kg) The difference between the mean weight of the sample of males ages 20-29 and the mean weight of the sample of males ages 75+ The mean difference between the weights of males ages 20-29 and males ages 75+ c)Is the randomness condition met for…arrow_forward
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