The Practice of Statistics for AP - 4th Edition
The Practice of Statistics for AP - 4th Edition
4th Edition
ISBN: 9781429245593
Author: Starnes, Daren S., Yates, Daniel S., Moore, David S.
Publisher: Macmillan Higher Education
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Chapter 11, Problem 4CRE

(a)

To determine

To find: Type of chi square to be used.

(a)

Expert Solution
Check Mark

Answer to Problem 4CRE

Chi square test of association will be used.

Explanation of Solution

Given information:

Total number of people =1509

The two way table of gender and sexual classification is as follows

    Readers
    Men Female General
    Sexual 10522566
    Not sexual 514351248

Chi square test of association is used where the concern is to check the independency between two variables or any kind of relation or association.

Chi square goodness of fit is to test the fit of a certain distribution to the data.

Here, only one variable can be used.

As the data in the question randomly selected, have two variables and the concern is to check the association so, chi square test for association will be used.

(b)

To determine

To find: The null and the alternate hypotheses

(b)

Expert Solution
Check Mark

Answer to Problem 4CRE

  H0:The gender of audience and the sexuality of the magazine ads are independent.

  H1: The gender of audience and the sexuality of the magazine ads are not independent.

Explanation of Solution

The null hypothesis is the natural one and is the one on the assumption of which the test statistic is calculated.

As the chi square test of association will be used so,

The null hypothesis will be that the gender of audience and the sexuality of the magazine ads are independent.

The alternate hypothesis will be that the gender of audience and the sexuality of the magazine ads are not independent.

(c)

To determine

(c)

Expert Solution
Check Mark

Explanation of Solution

Calculation:

Total number of women readers = number of sexual ads read by women + number of not sexual ads read by women

  =225+351=576

For 60.94

The percentage of not sexual ads among the women readers can be calculated as follows

  Number of not sexual ads read by womenNumber of women=351576=60.94

For 424.8

The sum total not sexual will be = number of not sexual ads read by men + number of not sexual ads read by women + number of not sexual ads read by general

  =514+351+248=1113

The expected count for not sexual women cell will be

  not sexual total × women readers totaltotal number of ads=1113×5761509=424.843(=424.8)

For 12.835

The contribution of the not sexual women reader cell to chi statistic will be

  (observed - expected)2expected

Observed value =351

So, (351424.843)2424.843=12.835

(d)

To determine

To find: The conclusion based on the results given.

(d)

Expert Solution
Check Mark

Answer to Problem 4CRE

The gender of the audience and the sexuality of the ads are not independent

Explanation of Solution

Given information:

Chi square value 80.874

P value 0.00

Concept used:

Reject null hypothesis if P value is less than the level of significance.

Here, assume the level of significance as 0.05

So, 0.00<0.05

Conclusion:

Using the above concept, there is sufficient evidence to reject null hypothesis at 5% level of significance and thus conclude that the gender of the audience and the sexuality of the ads are not independent.

Chapter 11 Solutions

The Practice of Statistics for AP - 4th Edition

Ch. 11.1 - Prob. 3ECh. 11.1 - Prob. 4ECh. 11.1 - Prob. 5ECh. 11.1 - Prob. 6ECh. 11.1 - Prob. 7ECh. 11.1 - Prob. 8ECh. 11.1 - Prob. 9ECh. 11.1 - Prob. 10ECh. 11.1 - Prob. 11ECh. 11.1 - Prob. 12ECh. 11.1 - Prob. 13ECh. 11.1 - Prob. 14ECh. 11.1 - Prob. 15ECh. 11.1 - Prob. 16ECh. 11.1 - Prob. 17ECh. 11.1 - Prob. 18ECh. 11.1 - Prob. 19ECh. 11.1 - Prob. 20ECh. 11.1 - Prob. 21ECh. 11.1 - Prob. 22ECh. 11.1 - Prob. 23ECh. 11.1 - Prob. 24ECh. 11.1 - Prob. 25ECh. 11.1 - Prob. 26ECh. 11.2 - Prob. 1.1CYUCh. 11.2 - Prob. 1.2CYUCh. 11.2 - Prob. 1.3CYUCh. 11.2 - Prob. 2.1CYUCh. 11.2 - Prob. 2.2CYUCh. 11.2 - Prob. 2.3CYUCh. 11.2 - Prob. 3.1CYUCh. 11.2 - Prob. 3.2CYUCh. 11.2 - Prob. 3.3CYUCh. 11.2 - Prob. 4.1CYUCh. 11.2 - Prob. 4.2CYUCh. 11.2 - Prob. 6.1CYUCh. 11.2 - Prob. 27ECh. 11.2 - Prob. 28ECh. 11.2 - Prob. 29ECh. 11.2 - Prob. 30ECh. 11.2 - Prob. 31ECh. 11.2 - Prob. 32ECh. 11.2 - Prob. 33ECh. 11.2 - Prob. 34ECh. 11.2 - Prob. 35ECh. 11.2 - Prob. 36ECh. 11.2 - Prob. 37ECh. 11.2 - Prob. 38ECh. 11.2 - Prob. 39ECh. 11.2 - Prob. 40ECh. 11.2 - Prob. 41ECh. 11.2 - Prob. 42ECh. 11.2 - Prob. 43ECh. 11.2 - Prob. 44ECh. 11.2 - Prob. 45ECh. 11.2 - Prob. 46ECh. 11.2 - Prob. 47ECh. 11.2 - Prob. 48ECh. 11.2 - Prob. 49ECh. 11.2 - Prob. 50ECh. 11.2 - Prob. 51ECh. 11.2 - Prob. 52ECh. 11.2 - Prob. 53ECh. 11.2 - Prob. 54ECh. 11.2 - Prob. 55ECh. 11.2 - Prob. 56ECh. 11.2 - Prob. 57ECh. 11.2 - Prob. 58ECh. 11.2 - Prob. 59ECh. 11.2 - Prob. 60ECh. 11.2 - Prob. 61ECh. 11.2 - Prob. 62ECh. 11.2 - Prob. 63ECh. 11.2 - Prob. 64ECh. 11 - Prob. 1CRECh. 11 - Prob. 2CRECh. 11 - Prob. 3CRECh. 11 - Prob. 4CRECh. 11 - Prob. 5CRECh. 11 - Prob. 6CRECh. 11 - Prob. 1PTCh. 11 - Prob. 2PTCh. 11 - Prob. 3PTCh. 11 - Prob. 4PTCh. 11 - Prob. 5PTCh. 11 - Prob. 6PTCh. 11 - Prob. 7PTCh. 11 - Prob. 8PTCh. 11 - Prob. 9PTCh. 11 - Prob. 10PTCh. 11 - Prob. 11PTCh. 11 - Prob. 12PTCh. 11 - Prob. 13PT
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Chi Square test; Author: Vectors Academy;https://www.youtube.com/watch?v=f53nXHoMXx4;License: Standard YouTube License, CC-BY