Can people tell the difference between a female nose and a male nose? This research question was examined in the article “You Can Tell by the Nose: Judging Sex from an Isolated Facial Feature” (Perception [1995]: 969–973). Eight Caucasian males and eight Caucasian females posed for nose photos. The article states that none of the volunteers wore nose studs or had prominent nasal hair. Each person placed a black Lycra tube over his or her head in such a way that only the nose protruded through a hole in the material. Photos were then taken from three different angles: front view, three-quarter view, and profile.
These photos were shown to a sample of undergraduate students. Each student in the sample was shown one of the nose photos and asked whether it was a photo of a male or a female. The response was then classified as either correct or incorrect. The accompanying table was constructed using summary values reported in the article.
Is there evidence that the proportion of correct sex identifications differs for the three different nose views?
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Chapter 12 Solutions
Introduction to Statistics and Data Analysis
- What is meant by the sample space of an experiment?arrow_forwardList the sample space of each experiment. Tossing three coinsarrow_forwardIt is particularly difficult to measure information on behavior that is sensitive, risky, or illegal. In an article in Science, Turner et al.† describe the use of audio, computer-assisted self-interviews as part of the 1995 National Survey of Male Adolescent (aged 15 to 19). The respondents were randomly assigned to answer the survey using the traditional paper form (n = 368) or using a laptop computer (n = 1,361). The paper questionnaire was filled out and sealed in an envelope to return to the surveyor but was accompanied by identifying code numbers. The computer method included listening to questions through headphones, and then recording the answers on a laptop computer. The authors believed that this method would allow respondents to feel that their responses were more private. In particular, respondents who could not read would need to have the paper version read to them, whereas the audio-computer method allowed complete self-administration of the survey. Results indicated that…arrow_forward
- “Are Women Really More Talkative Than Men?” is the title of an article that appeared in the journal Science. In the article, Mehl, Vazire, Ramirez-Esparza, Slatcher, & Pennebaker (2007) report the results of a study of 396 men and women. Each participant wore a microphone that recorded every word he or she uttered. The researchers counted the number of words uttered by men and women and compared them. The data below are fictional but they re-create the pattern that Mehl and colleagues observed: Men: 16,345 17,222 15,646 14,889 16,701 Women: 17,345 15,593 16,624 16,696 14,200 Conduct steps for hypothesis testing. Calculate the 95% confidence interval. (MX - MY)lower = -1481.575 (MX - MY)upper = 1343.575arrow_forwardonly need help with the questions in the second picture attached.arrow_forwardThe director of student services at Oxnard College is interested in whether women are less likely to attend orlentation than men before they begin their coursework. A random sample of freshmen at Oxnard College were asked what their gender is and whether they attended orientation. The results of the survey are shown below: Data for Gender vs. Orlentation Attendance Women Men Yes 426 491 No 190 189 What can be concluded at the a = 0.10 level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: Ho: Select an answery Select an answerv Select an answerv (please enter a decimal and note that p1 and ul represent the proportion and mean for women and p2 and u2 represent the proportion and mean for men.) H: Select an answerv Select an answerv Select an answerv (Please enter a decimal) b. The test statistic ?v = (please show your answer to 3 decímal places.) c. The p-value = (Please show your answer to 4 decimal places.) d. The p-value…arrow_forward
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- An American Automobile Association (AAA) study investigated the question of whether car owners or truck owners were more likely to change their own blown tire. The situation referred to in the study stated the following: “If you blew a tire on a trip, would you change the tire yourself?” A sample representative of the data used by AAA showed 663 of 818 car owners said that they would change the tire themselves while 541 of 733 truck owners said they would change the tire themselves. x n car owners 663 818 truck owner 541 733 The AAA research hypothesis was that truck owners would be more likely to change their tire themselves. Formulate the null and alternative hypotheses for this study. Let car owners be population What is the percentage of car owners who indicated that they would change their own tire?arrow_forwardCar Window Skin Cancer? A study suggests that exposure to UV rays through the car window may increase the risk of skin cancer. The study reviewed the records of all 1050 skin cancer patients referred to the St. Louis University Cancer Center in 2004. Of the 42 patients with melanoma, the cancer occurred on the left side of the body in 31 patients and on the right side in the other 11. A. Is this an experiment or an observational study? B. Of the patients with melanoma, what proportion had the cancer on the left side? Show what numbers you divide and give answer to 3 decimal places. C. A bootstrap 95% confidence interval for the proportion of melanomas occurring on the left is 0.579 to 0.861. Clearly interpret the confidence interval in the context of the problem. D. Suppose the question of interest is whether melanomas are more likely to occur on the left side than on the right. That is, are over 50% of melanomas on the left side? Ho: p = 0.5 Ha: p > 0.5 Use the confidence interval…arrow_forward. The spotlight effect refers to overestimating the extent to which others notice your appearance or behavior, especially when you commit a social faux pas. Effectively, you feel as if you are suddenly standing in a spotlight with everyone In one demonstration of this phenomenon, Gilovich, Medvec, and Savitsky (2000) asked college students to put on a Barry Manilow T-shirt that fellow students had previously judged to be embarrassing. The participants were then led into a room in which other students were already participating in an experiment. After a few minutes, the participant was led back out of the room and was allowed to remove the shirt. Later, each participant was asked to estimate how many people in the room had noticed the shirt. The individuals who were in the room were also asked whether they noticed the shirt. In the study, the participants significantly overestimated the actual number of people who had noticed. In a similar study using a sample of n = 9 participants,…arrow_forward
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