Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

Use data on college students collected from the American College Health Association-National College Health Assessment survey \(^{18}\) conducted in Fall 2011 . The survey was administered at 44 colleges and universities representing a broad assortment of types of schools and representing all major regions of the country. At each school, the survey was administered to either all students or a random sample of students, and more than 27,000 students participated in the survey. Students in the ACHA-NCHA survey were asked, "Within the last 12 months, have you been in a relationship (meaning an intimate/coupled/partnered relationship) that was emotionally abusive?" The results are given in Table 2.12 . (a) What percent of all respondents have been in an emotionally abusive relationship? (b) What percent of the people who have been in an emotionally abusive relationship are male? (c) What percent of males have been in an emotionally abusive relationship? (d) What percent of females have been in an emotionally abusive relationship? Table 2.12 Have you been in an emotionally abusive relationship? $$\begin{array}{l|rr|r} \hline & \text { Male } & \text { Female } & \text { Total } \\ \hline \text { No } & 8352 & 16,276 & 24,628 \\ \text { Yes } & 593 & 2034 & 2627 \\ \hline \text { Total } & 8945 & 18,310 & 27,255 \\ \hline\end{array}$$

Short Answer

Expert verified
a) 9.64% of all respondents have been in an emotionally abusive relationship. b) 22.57% of people who have been in an emotionally abusive relationship are male. c) 6.63% of males have been in an emotionally abusive relationship. d) 11.1% of females have been in an emotionally abusive relationship.

Step by step solution

01

Calculate the total percent of all respondents having been in an abusive relationship

First, we need to calculate what percent of all respondents have been in an emotionally abusive relationship. To do this, we will divide the total number of 'yes' responses (2627) by the overall total number of respondents (27,255). Multiply the result by 100 to convert it into a percentage. i.e., \((\frac{2627}{27255}) \times 100\)
02

Calculate the percent who are male among the emotionally abused

We also need to find out what percent of those who have been in an emotionally abusive relationship are male. To do this, we will divide the number of 'yes' responses from males (593) by the total number of 'yes' responses (2627). Multiply the result by 100 to convert it into a percentage. i.e., \((\frac{593}{2627}) \times 100\)
03

Calculate the percentage of males having faced emotional abuse

Next, we need to calculate the percent of males who have been in an emotionally abusive relationship. To do this, we will divide the number of 'yes' responses from males (593) by the total number of male respondents (8945). Multiply the result by 100 to convert it into a percentage. i.e., \((\frac{593}{8945}) \times 100\)
04

Calculate the percentage of females having faced emotional abuse

Lastly, we calculate the percent of females who have been in an emotionally abusive relationship. To do this, we will divide the number of 'yes' responses from females (2034) by the total number of female respondents (18,310). Multiply the result by 100 to convert it into a percentage. i.e., \((\frac{2034}{18310}) \times 100\)

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Deal with an experiment to study the effects of financial incentives to quit smoking. 19 Smokers at a company were invited to participate in a smoking cessation program and randomly assigned to one of two groups. Those in the Reward group would get a cash award if they stopped smoking for six months. Those in the Deposit group were asked to deposit some money which they would get back along with a substantial bonus if they stopped smoking. The random assignment at the start of the experiment put 1017 smokers in the Reward group and 914 of them agreed to participate. However, only 146 of the 1053 smokers assigned to the Deposit group agreed to participate (since they had to risk some of their own money). Set up a two-way table and compare the participation rates between subjects assigned to the two treatment groups.

Price Differentiating E-commerce websites "alter results depending on whether consumers use smartphones or particular web browsers," 34 reports a new study. The researchers created clean accounts without cookies or browser history and then searched for specific items at different websites using different devices and browsers. On one travel site, for example, prices given for hotels were cheaper when using Safari on an iPhone than when using Chrome on an Android. At Home Depot, the average price of 20 items when searching from a smartphone was \(\$ 230,\) while the average price when searching from a desktop was \(\$ 120 .\) For the Home Depot data: (a) Give notation for the two mean prices given, using subscripts to distinguish them. (b) Find the difference in means, and give notation for the result.

Exercise 2.143 on page 102 introduces a study that examines several variables on collegiate football players, including the variable Years, which is number of years playing football, and the variable Cognition, which gives percentile on a cognitive reaction test. Exercise 2.182 shows a scatterplot for these two variables and gives the correlation as -0.366 . The regression line for predicting Cognition from Years is: $$\text { Cognition }=102-3.34 \cdot \text { Years }$$ (a) Predict the cognitive percentile for someone who has played football for 8 years and for someone who has played football for 14 years. (b) Interpret the slope in terms of football and \(\operatorname{cog}-\) nitive percentile. (c) All the participants had played between 7 and 18 years of football. Is it reasonable to interpret the intercept in context? Why or why not?

A researcher claims to have evidence of a strong positive correlation \((r=0.88)\) between a person's blood alcohol content \((\mathrm{BAC})\) and the type of \(\mathrm{alco}-\) holic drink consumed (beer, wine, or hard liquor). Explain, statistically, why this claim makes no sense.

Rough Rule of Thumb for the Standard Deviation According to the \(95 \%\) rule, the largest value in a sample from a distribution that is approximately symmetric and bell-shaped should be between 2 and 3 standard deviations above the mean, while the smallest value should be between 2 and 3 standard

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free