Which of the following gives the correct null hypothesis for testing whether the "age" is independent of "preferred shipping company"?a) The age group does not depend on preference for shipping carrierb) The preference for shipping carrier does not depend on the age groupc) The preference for shipping carrier does depend on the age group A local news survey asked 500 randomly sampled people about which shipping carrier they prefer to use for shipping holidaygifts. The table below shows the distribution of responses by age group. Perform a chi-square hypothesis test forindependence and answer the following.CARRIERAGE18- 35-34 5472 97 7652 76 3431 24 955+USPSUPSFedExSomethingElseNot Sure 3 6 47 6 3

Given that \Carrier 18 -34 35 - 54 55+ Total USPS 72 97 76 245 UPS 52 76 34 162 FedEx 31…

Which of the following gives the correct null hypothesis for testing whether the "age" is independent of "preferred shipping company"? a) The age group does not depend on preference for shipping carrier b) The preference for shipping carrier does not depend on the age group c) The preference for shipping carrier does depend on the age group

Which of the following gives the correct null hypothesis for testing whether the "age" is independent of "preferred shipping company"? a) The age group does not depend on preference for shipping carrier b) The preference for shipping carrier does not depend on the age group c) The preference for shipping carrier does depend on the age group

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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1. A hospital keeps a record of the number of males and females in different age groups who contract a particular disease. The data are summarized as follows: Age Groups: 10-25 26-40 41-55 56 + Male: 23, 34, 20, 64 Female: 31, 29, 55, 44 a) Are gender and age of contracting the disease independent of one another (a < .05)? b) A researcher believes that people in the 41-55 age group are three times as likely to develop the disease as are those in each of the two younger age groups, while those in the 56 + age group are only twice as likely (relative to those in the two youngest groups). The two youngest age groups are not expected to differ from each other. Do the data support these beliefs (a < .01)? c) It is also believed that, relative to males, the proportion of females in the 56 + age group that develops the disease is significantly different from the proportion of females in the 10-25 age group that develops the disease. Test this belief with a 5.05. Answers 1. a) x2 =…
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8) The following results are from data that were collected from the various high schools around the county. The dependent variable is % OF STUDENTS GOING TO COLLEGE, and the independent variables are: AVERAGE CLASS SIZE, COMBINED SAT SCORES, SPENDING PER STUDENT, AVERAGE TEACHER SALARY, AND % TAKING THE SAT Since the 3 variables AVERAGE CLASS SIZE, SPENDING PER STUDENT, AND AVERAGE TEACHER SALARY are each not significant at the 10% level of significance individually, in order to test to see if as a group they are significant the 3 variables are excluded and another regression is run. The results are as follows: a) At the 10% level of significance, test whether as a group AVERAGE CLASS SIZE, SPENDING PER STUDENT, AND AVERAGE TEACHER SALARY are significant. Be sure to state the null and alternative hypotheses for this hypothesis test.
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