91影视

Given in the question that, Researchers looked at a random sample of $1509$full-page ads that show a model in magazines aimed at young men, at young women, or at young adults in general. They classified the ads as 鈥渘ot sexual鈥� or 鈥渟exual,鈥� depending on how the model was dressed (or not dressed).

We need to find that the type of chi-square test used in this case.

The total number of individuals=$1509$

$\begin{array}{|llll|}\hline & \text{Readers}& & \\ & \text{Men}& \text{Female}& \text{General}\\ \text{Sexual}& 105& 225& 66\\ \text{Not sexual}& 514& 351& 248\\ \hline\end{array}$

The following is a two-way table of gender and sexual classification.

When checking for independency between two variables or any form of relationship or association, the Chi square test of association is used.

The Chi square goodness of fit test is used to determine how well a distribution fits the data.

Only one variable can be used here.

Because the data in the question was chosen at random and has two variables, the chi square test for association will be utilised to determine the relationship.

Given in the question that, Researchers looked at a random sample of 1509 full-page ads that show a model in magazines aimed at young men, at young women, or at young adults in general.

We need to state appropriate hypotheses for performing the type of test chose in part (a) .

The null hypothesis is the most natural, and it is based on it that the test statistic is generated.

Because the chi square association test will be utilised,

The null hypothesis is that the audience's gender and the sexuality of magazine advertisements are unrelated.

The alternative idea is that audience gender and magazine ad sexuality are not mutually exclusive.

$H_0$:The audience's gender and the magazine advertising' sexuality are unrelated.

$H_1$: The gender of the audience and the sexiness of magazine advertisements are not mutually exclusive.

Given in the question that, Researchers looked at a random sample of 1509 full-page ads that show a model in magazines aimed at young men, at young women, or at young adults in general.

We need to show that how each of the numbers 60.94, 424.8, and 12.835 was obtained for the 鈥渘ot sexy, Women鈥� cell

The null hypothesis is the most natural, and it is based on it that the test statistic is generated.

Total number of female readers = number of women who read sexual advertising + number of women who do not read sexual ads

$=225+351=576$For $60.94$

The following formula can be used to calculate the percentage of non-sexual adverts among female readers.

Total number of female readers Equals total number of female sexual advertisements read Women read $+$of non-sexual advertisements.

$=225+351=576$For $60.94$

The following formula can be used to calculate the percentage of non-sexual adverts among female readers.

The following formula can be used to calculate the percentage of non-sexual adverts among female readers.

$$\begin{gathered} \frac{\text{Number of not sexual ads read by women}}{\text{Number of women}}=\frac{351}{576} \\ =60.94 \end{gathered}$$

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 predicted cell count for nonsexual women is

$\frac{notsexualtotal脳womenreaderstotal}{totalnumberofads}$

localid="1652808307483" $$\begin{gathered} =\frac{1113脳576}{1509}=424.843 \\ =424.8 \end{gathered}$$

The not sexual ladies reader cell will contribute $12.835$to the chi statistic.

$\frac{(\text{observed - expected}{)}^2}{\text{expected}}$

Observed value =351

So, $\frac{(351-424.843{)}^2}{424.843}=12.835$

Given in the question that, Researchers looked at a random sample of 1509 full-page ads that show a model in magazines aimed at young men, at young women, or at young adults in general.

We need to provide a conclusion if the conditions for performing inference are met.

Information provided:

value of chi square $80.874$$P$value $0.00$

If the $P$value is less than the level of significance, reject the null hypothesis.

Assume that the significance threshold is $0.05$.

So,$0.00<0.05$

Conclusion: Using the above notion, there is sufficient evidence to reject the null hypothesis at the 5% level of significance, implying that the audience's gender and the advertising' sexuality are not independent.