Statistics for Business and Economics (13th Edition)
13th Edition
ISBN: 9780134506593
Author: James T. McClave, P. George Benson, Terry Sincich
Publisher: PEARSON
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Chapter 10.3, Problem 10.33ACI
To determine
To test: The independence of texting style and sex.
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Attractiveness of body types has been a large discussion relating to effects on youth and culture. Unhealthy levels of BMI are often associated with beauty. A researcher decided to study how young heterosexual adults body type preferences related to BMI. Participants were asked to use a computer program to design their desired partner. The program then calculated the BMI of the designed partners. The table summarizes the results based on a SRS of 35 men and 48 women.
BMI designed by men
n=35
x-bar=18.850
stdev=1.750
SE Mean 0.277
BMI designed by women
n=48
x-bar=25.860
stdev=4.215
SE Mean 0.625
Use this information to conduct a test to decide if male and/or female body type preferences are associated with healthy BMI measurements. You should have two complete tests here. You may assume the populations are normally distributed.
The paper "Deception and Design: The Impact of Communication Technology on Lying Behavior"+ describes an investigation into whether lying is less common in face-to-face communication than in other forms of
communication such as phone conversations or e-mail. Participants in this study were 30 students in an upper-division communications course at Cornell University who received course credit for participation. Participants
were asked to record all of their social interactions for a week, making note of any lies told.
Based on data from these records, the authors of the paper concluded that students lie more often in phone conversations than in face-to-face conversations and more often in face-to-face conversations than in e-mail.
Discuss the limitations of this study, commenting on the way the sample was selected and potential sources of bias. (Select all that apply.)
O Students knew that they were surveying themselves as to the truthfulness of their interactions, which could have…
McAllister et al. (2012) compared varsity football and hockey players with varsity athletes from noncontact sports to determine whether exposure to head impacts during one season have an effect on cognitive performance. In the study, tests of new learning performance were significantly poorer for the contact sport athletes compared to the noncontact sport athletes. The following table presents data similar to the results obtained in the study.
Noncontact Athletes:
10, 8, 7, 9, 13, 7, 6, 12
Contact Athletes:
7, 4, 9, 3, 7, 6, 10, 2
a. Are the test scores significantly lower for the contact sport athletes than for the noncontact athletes? Use a one-tailed test with =.05
t-critical=
t=
b. Compute the value of (percentage of variance accounted for) for these data.
r^2= a. 0.123, b. 0.239, c. 0.138, d. 0.264
Chapter 10 Solutions
Statistics for Business and Economics (13th Edition)
Ch. 10.2 - Find the rejection region for a one-dimensional 2...Ch. 10.2 - What are the characteristics of a multinomial...Ch. 10.2 - What conditions must n satisfy to make the 2 test...Ch. 10.2 - A multinomial experiment with k = 3 cells and n =...Ch. 10.2 - Prob. 10.5LMCh. 10.2 - Cable TV subscriptions and cord cutters. Refer to...Ch. 10.2 - Do social robots walk or roll? Refer to the...Ch. 10.2 - Rankings of MBA programs. Business Ethics (Fall...Ch. 10.2 - Museum management. Refer to the Museum Management...Ch. 10.2 - Offshoring companies. Offshoring is a term that...
Ch. 10.2 - Prob. 10.11ACICh. 10.2 - Prob. 10.12ACICh. 10.2 - Mobile device typing strategies. Text messaging on...Ch. 10.2 - Prob. 10.14ACICh. 10.2 - Coupon user study. A hot topic in marketing...Ch. 10.2 - Cell phone user survey. If you subscribe to a cell...Ch. 10.2 - Overloading in the trucking industry. Although...Ch. 10.2 - Political representation of religious groups. Do...Ch. 10.3 - Find the rejection region for a test of...Ch. 10.3 - Consider the 2 3 (i e., r = 2 and = 3)...Ch. 10.3 - Refer to Exercise 10.20. a. Convert the frequency...Ch. 10.3 - Test the null hypothesis of independence of the...Ch. 10.3 - Refer to Exercise 10.22. a. Convert the responses...Ch. 10.3 - Safety of hybrid cars. According to the Highway...Ch. 10.3 - Purchasing souvenirs. A major tourist activity is...Ch. 10.3 - Prob. 10.26ACBCh. 10.3 - Are travel professionals equitably paid? Business...Ch. 10.3 - Eyewitnesses and mugshots. Refer to the Applied...Ch. 10.3 - Package design influences taste. Can the package...Ch. 10.3 - Job satisfaction of women in construction. The...Ch. 10.3 - Offshoring companies. Refer to The Journal of...Ch. 10.3 - Prob. 10.32ACICh. 10.3 - Prob. 10.33ACICh. 10.3 - Prob. 10.34ACICh. 10.3 - Prob. 10.35ACICh. 10.3 - Prob. 10.36ACICh. 10.3 - Prob. 10.37ACICh. 10.3 - Coupon user study. Refer to the study of a...Ch. 10.3 - Examining the Monty Hall Dilemma. In Exercise...Ch. 10 - A random sample of 250 observations was classified...Ch. 10 - Prob. 10.41LMCh. 10 - Made in the USA survey. Refer to the Journal of...Ch. 10 - Prob. 10.43ACBCh. 10 - Survey on giving and volunteering (continued)....Ch. 10 - Stereotyping in deceptive and authentic news...Ch. 10 - Prob. 10.46ACBCh. 10 - Prob. 10.47ACICh. 10 - Pig farm study. An article in Sociological Methods...Ch. 10 - Management system failures. Refer to the Process...Ch. 10 - History of corporate acquisitions. Refer to the...Ch. 10 - Creating menus to influence others. Refer to the...Ch. 10 - Prob. 10.52ACICh. 10 - Prob. 10.53ACICh. 10 - Prob. 10.54ACICh. 10 - Flight lesponse of geese to helicopter traffic....Ch. 10 - Prob. 10.56ACACh. 10 - Goodness-of-fit test. A statistics analysis is to...Ch. 10 - Prob. 10.58CTCCh. 10 - A television station has hired an independent...Ch. 10 - Suppose the television station believes that a...Ch. 10 - Generalize the situations in Exercises 1 and 2 to...Ch. 10 - In this Activity, you will revisit Activity 3.1,...Ch. 10 - Prob. 10.2.2ACh. 10 - Perform a x2 test for independence for the example...
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- What is meant by the sample space of an experiment?arrow_forwardMcAllister et al. (2012) compared varsity football and hockey players with varsity athletes from noncontact sports to determine whether exposure to head impacts during one season have an effect on cognitive performance. In the study, tests of new learning performance were significantly poorer for the contact sport athletes compared to the noncontact sport athletes. The following table presents data similar to the results obtained in the study. Noncontact Athletes: 10, 8, 7, 9, 13, 7, 6, 12 Contact Athletes: 7, 4, 9, 3, 7, 6, 10, 2 a. Are the test scores significantly lower for the contact sport athletes than for the noncontact athletes? Use a two-tailed test with =.05 b. What sampling technique was most likely employed by the researcher? justify your answer c. Does exposure to head impacts have an effect on cognitive performance? why or why notarrow_forwardMcAllister, et al. (2012) compared varsity football and hockey players with varsity athletes from noncontact sports to determine whether exposure to head impacts during one season have an effect on cognitive performance. In the study, tests of new learning performance were significantly poorer for the contact sport athletes compared to the noncontact sport athletes. The following table presents data similar to the results obtained in the study. Noncontact Athletes Contact Athletes 10 7 8 4 7 9 9 3 13 7 7 6 6 10 12 2 Are the neurological test scores significantly lower for the contact athletes than for the noncontact athletes in the control group? Use a one-tailed test with α = .05. Compute the value of r² (percentage of variance accounted for) for these data.arrow_forward
- 2. Stevens, Atkins, and Kingston (2009) conducted an experiment in which participants were able to tolerate more pain when they were shouting their favorite swear words than when they were shouting neutral words. Identify the independent and dependent variables for this study.arrow_forwardA study investigating the effect of student gender on poor academic performance (measured as having a grade of B or lower) at the University of Colorado reported that 17% of male students had poor performance and that 11% of female students had poor performance. Given this information, can we determine if there is an association between sex and academic performance? (Choose the one best answer). Group of answer choices Yes, female students have a lower rate of poor academic performance therefore poor academic performance is associated with being a female student. No, male students only have a slightly higher prevalence of poor academic performance compared to female students and therefore there is no association between poor performance and gender. Yes, male students have a higher rate of poor academic performance therefore poor academic performance is associated with being a male student. No, the prevalence values alone cannot be used to assess an association between…arrow_forwardMotivational speakers want to be perceived as trustworthy. One hypothesis is that speakers who exhibit immediacy behaviors such as making eye contact, smiling and leaning forward might be perceived as more trustworthy than those who do not engage in these behaviors. To test this hypothesis, a psychologist obtained data from 26 participants. For people in a non-immediacy group, the speaker did not engage in any immediacy behaviors. For the immediacy group, however, the speaker made eye contact, smiled and leaned forward while giving a speech. After the speech, participants rated the speaker on a scale of trustworthiness ranging from 1 (not at all trustworthy) to 9 (highly trustworthy). The following data were obtained. Test whether the immediacy behaviors of the speaker affect trustworthiness rating. No immediacy behavior Immediacy behavior 4 4 7 4 5 3 6 5 3 5 9 8 4 6 8 7 6 3 8 6 7 5 7 8 7 6…arrow_forward
- 3. Does stress affect the recall ability of police witnesses? This issue was studied in an experiment that tested eyewitness memory a week after a nonstressful interrogation of a cooperative suspect and a stressful interrogation [the way of questioning] of an uncooperative suspect. The numbers of details recalled a week after the incident are summarized in the margin (based on data from "Eyewitness Memory of Police Trainees for Realistic Role Plays," by Yuille et al., Journal of Applied Psychology, Vol. 79, No. 6). Use 0.01 level of significance to test the claim in the article that stress decreased the amount recalled. Assume equal population variances. Nonstress Stress n1 = 40 X1 = 53.3 S1 = 11.6 n2 = 40 X2 = 45.3 S2 = 13.2 a. Claim (in symbolic form): Но: На: b. level of significance: test-statistic: tail of distribution:_ c. Decision Rule: Reject Ho if d. Computation e. Decision (Reject Ho or Failed to reject Ho) f. Conclusionarrow_forwardThe personality characteristics of business leaders (e.g., CEOs) are related to the operations of the businesses that they lead (Oreg & Berson, 2018). Traits like openness to experience are related to positive financial outcomes and other traits are related to negative financial outcomes for their businesses. Suppose that a board of directors is interested in evaluating the personality of their leadership . Among a sample of n = 16 managers , the sample mean of the openness to experiences dimension of personality was M = 4.50 . Assuming that mu = 4.24 and sigma = 1.05 (Cobb -Clark & Schurer , 2012) , use a two-dailed hypothesis test with alpha = .05 to test the hypothesis that this company's business leaders ' openness to experience is different from the population .arrow_forwardThe personality characteristics of business leaders (e.g., CEOS) are related to the operations of the businesses that they lead (Oreg & Berson, 2018). Traits like openness to experience are related to positive financial outcomes and other traits are related to negative financial outcomes for their businesses. Suppose that a board of directors is interested in evaluating the personality of their leadership. Among a sample of n = 16 managers, the sample mean of the openness to experiences dimension of personality was M = 4.50. Assuming that u = 4.24 and o = 1.05 (Cobb-Clark & Schurer, 2012), use a two-tailed hypothesis test with a = .05 to test the hypothesis that this company's business leaders' openness to experience is different from the population. Standard Normal Distribution Mean - 0.0 Standard Deviation 1.0 .7198 .1401 .1401 -3.0 -2.0 -1.0 0.0 1.0 2.0 3.0 -1.08 1.08 Step 1. Ho: ; H;: a = .05. Step 2. The critical region consists of Step 3. For these data the standard error is and…arrow_forward
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