The following table shows the Myers-Briggs personality preferences for a random sample of 406 people in the listed professions. E refers to extroverted and I refers to introverted Personality Type Row Total Occupation Clergy (all denominations) 67 40 107 162 67 60 M.D. 95 Lawyer Column Total 77 137 194 212 406 Use the chi-square test to determine if the listed occupations and personality preferences are independent at the 0.05 level of significance.
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A: Solution
(a) The level of significance is 0.05.
The null and alternate hypotheses are:
H0: Myers-Briggs preference and profession are independent
H1: Myers-Briggs preference and profession are not independent.
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- Ten randomly selected people took an IQ test A, and next day they took a very similar IQ test B. Their scores are shown in the table below. Person A B C D E F G H I J Test A 103 86 93 116 89 104 124 97 108 80 Test B 104 87 96 121 90 104 123 97 112 78 1. Consider (Test A - Test B). Use a 0.05 significance level to test the claim that people do better on the second test than they do on the first. (Note: You may wish to use software.) (a) What test method should be used?A. Two Sample t B. Two Sample z C. Matched Pairs (b) The test statistic is ........ (c) The critical value is .......... (d) Is there sufficient evidence to support the claim that people do better on the second test? A. Yes B. No2. Construct a 95% confidence interval for the mean of the differences. Again, use (Test A - Test B). .......<μ<..........The table below summarizes data from a survey of a sample of women. Using a 0.05 significance level, and assuming that the sample sizes of 800 men and 400 women are predetermined, test the claim that the proportions of agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of women? Gender of Interviewer Man Woman Women who agree 535 344 Women who disagree 265 56 Click here to view the chi-square distribution table. LOADING... Identify the null and alternative hypotheses. Choose the correct answer below. A. H0: The proportions of agree/disagree responses are different for the subjects interviewed by men and the subjects interviewed by women. H1: The proportions are the same. B. H0: The proportions of agree/disagree…The following table shows the Myers-Briggs personality preferences for a random sample of 406 people in the listed professions. E refers to extroverted and I refers to introverted. Personality Type Occupation E I Row Total Clergy (all denominations) 63 44 107 M.D. 69 93 162 Lawyer 55 82 137 Column Total 187 219 406 Use the chi-square test to determine if the listed occupations and personality preferences are independent at the 0.05 level of significance. (a) What is the level of significance? State the null and alternate hypotheses. H0: Myers-Briggs preference and profession are independentH1: Myers-Briggs preference and profession are not independent.H0: Myers-Briggs preference and profession are independentH1: Myers-Briggs preference and profession are independent. H0: Myers-Briggs preference and profession are not independentH1: Myers-Briggs preference and profession are independent.H0: Myers-Briggs preference and profession are not independentH1:…
- Personality preferences for a random sample of 519 people in the listed professions are shown in the following table. T refers to THINKING and F refers to FEELING. Use the chi-square test to determine if the listed occupations and personality preferences are independent at the 0.01 level of significance. Occupation T F Row Total Clergy 57 91 148 M.D. 77 82 159 Lawyer 118 94 212 Column Total 252 267 519Hotel Managers' Personalities. Successful hotel managers must have personality characteristics often thought of as feminine (such as "compassionate") as well as those often thought of as masculine (such as "forceful"). The Bern Sex-Role Inventory (BSRI) is a personality test that gives separate ratings for female and male stereotypes, both on a scale of 1 to 7. A sample of 148 male general managers of three-star and four-star hotels had mean BSRI femininity score y = 5.29 The mean score for the general male population is μ = 5.19. Do hotel managers, on the average, differ significantly in femininity score from men in general? Assume that the standard deviation of scores in the population of all male hotel managers is the same as the σ = 0.78 for the adult male population. (a) State null and alternative hypotheses in terms of the mean femininity score μ for male hotel managers. (b) Find the z test statistic. (c) What is the P-value for your z? What do you conclude about male hotel…Is there an association between hair color and body type? The table below shows the results of a researcher's observations of randomly selected people. Frequencies of Hair Colors for Various Body Types Blonde Brunette Red Head 71 80 96 108 55 115 46 91 Short and Slender Short and Pudgy Tall and Slender Tall and Heavy What can be concluded at the o= 0.01 significance level? 53 74 69 63