The following table shows the Myers-Briggs personality preferences for a random sample of 519 people in the listed professions. T refers to thinking and F refers to feeling. Personality Type Occupation Clergy (all denominations) M.D. Lawyer Column Total Row Total 52 73 96 86 95 277 148 159 212 117 242 519 Use the chi-square test to determine if the listed occupations and personality preferences are independent at the 0.01 level of significance. (a) What is the level of significance? 0.01 State the null and alternate hypotheses. Ho: Myers-Briggs preference and profession are not independent. H,: Myers-Briggs preference and profession are independent. • Ho: Myers-Briggs preference and profession are independent. H1: Myers-Briggs preference and profession are not independent. O Ho: Myers-Briggs preference and profession are independent. H,: Myers-Briggs preference and profession are independent. O Ho: Myers-Briggs preference and profession are not independent. H,: Myers-Briggs preference and profession are not independent. (b) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to at least three decimal places. Round the test statistic to three decimal places.) 14.128

The following table shows the Myers-Briggs personality preferences for a random sample of 519 people in the listed professions. T refers to thinking and F refers to feeling. Personality Type Occupation Clergy (all denominations) M.D. Lawyer Column Total Row Total 52 73 96 86 95 277 148 159 212 117 242 519 Use the chi-square test to determine if the listed occupations and personality preferences are independent at the 0.01 level of significance. (a) What is the level of significance? 0.01 State the null and alternate hypotheses. Ho: Myers-Briggs preference and profession are not independent. H,: Myers-Briggs preference and profession are independent. • Ho: Myers-Briggs preference and profession are independent. H1: Myers-Briggs preference and profession are not independent. O Ho: Myers-Briggs preference and profession are independent. H,: Myers-Briggs preference and profession are independent. O Ho: Myers-Briggs preference and profession are not independent. H,: Myers-Briggs preference and profession are not independent. (b) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to at least three decimal places. Round the test statistic to three decimal places.) 14.128

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

The 25th and 75th percentile points (without interpolation) are?
Suppose a group is interested in determining whether teenagers obtain their drivers license at approximately the same average age across the country. Five teenagers from each region of the country were randomly selected. The data collected is their age at which the teenagers obtained their drivers licenses and is summarized in the table below. Test the hypothesis that the five regions produce the same mean average for a teenage driver’s license. Northeast South West Central East 16.3 16.9 16.4 16.2 17.1 16.1 16.5 16.5 16.6 17.2 16.4 16.4 16.6 16.5 16.6 16.5 16.2 16.1 16.4 16.8 (a)What are the hypotheses? (b)What is the F – Statistic? (c) What is the p – value? (d) What can you conclude about the null hypothesis? (e) What can you conclude about the population means?
A student surveyed a random sample of 301 students in her large college and collected the data in the table below, on the variables class year and favorite team sport. Perform a chi-square test to determine if the variables class year and favorite team sport are independent. Basketball Soccer Baseball/Softball Other Total Freshman 12 41 11 1 65 Sophomore 12 43 17 7 79 Junior 10 44 10 11 75 Senior 10 49 18 5 82 Total 44 177 56 24 301 What is the test statistic for the chi-squared test? (round to 3 dp) . The p-value for this test is . (If p-value <0.001, enter 0, otherwise report to 4 dp) Select the appropriate conclusion for this test at a significance level of α=0.05.A. Reject H0H0. We have significant evidence that class year and team sports are not independent.B. Fail to reject H0H0. We do not have significant evidence that class year and team sports are not independent.
.Define any statistic cells as desired (e.g., the mean profit)?
The following table is from a publication. The individuals in the following table have an eye irritation, a nose irritation, or a throat irritation. They have only one of the three. Is there sufficient evidence to reject the hypothesis that the type of ear, nose, or throat irritation is independent of the age group at a level of significance equal to 0.05? Age (years) Type of Irritation 18-29 30-44 45-64 65 and Older Eye 422 560 340 54 Nose 932 1324 802 101 Throat 247 309 142 24 (a) Find the test statistic. (Round your answer to two decimal places.)(ii) Find the p-value. (Round your answer to four decimal places.)(b) State the appropriate conclusion. Reject the null hypothesis. There is not significant evidence that this sample contradicts the claim of independence.Reject the null hypothesis. There is significant evidence that this sample contradicts the claim of independence. Fail to reject the null hypothesis. There is not significant…
Twenty samples of students from the first year were taken for the study related to fitness level in a university. The researcher has collected the data for a few variables: gender and fitness test score. Fitness Camp No Gender Fitness score Fitness score (Before Attend camp) (After Attend camp) 1 M 444 526 2 F 780 862 3 F 475 557 4 F 490 572 5 M 755 837 6. M 766 848 7 F 540 622 8 M 623 705 9. F 600 682 10 620 702 11 505 590 12 M 640 725 13 F 523 608 14 F 700 785 15 M 710 795 16 M 726 811 17 M 740 825 18 F 550 635 19 F 685 770 20 F 460 545 Range of Fitness Score: 0 to 900 1. Determine whether this set of data is sample or population? Why? Which formulae to be used when calculating the standard deviation of fitness score before and after camp 2. Calculate the standard deviation for fitness score before and after students attended the fitness camp for the whole samples using the formula in (1) 3. Based on the sample standard deviation in part (2), explain whether the fitness camp can…
A survey described the results of a poll of working adults in Canada. Each person in a random sample was classified according to gender and the number of vacation days he or she usually took each year. The resulting data are summarized in the given table. Days of Vacation Gender Male Female None 51 42 1-5 21 25 6-10 67 79 11-15 106 98 16-20 71 70 21-25 82 58 More than 25 118 79 (a) Is it reasonable to conclude that there is an association between gender and the number of vacation days taken?Test the appropriate hypotheses using a 0.05 significance level. Calculate the test statistic. (Round your answer to two decimal places.)?2 =
A case-control (or retrospective) study was conducted to investigate a relationship between the colors of helmets worn by motorcycle drivers and whether they are injured or killed in a crash. Results are given in the accompanying table. Using a 0.01 significance level, test the claim that injuries are independent of helmet color. Color of Helmet Black White Yellow Red Blue Controls (not injured) Cases (injured or killed) 480 337 30 154 91 199 107 8 66 43 Click here to view the chi-square distribution table. Identify the null and alternative hypotheses. Choose the correct answer below. O A. H: Injuries and helmet color are dependent H: Injuries and helmet color are independent O B. Ho: Whether a crash occurs and helmet color are independent H: Whether a crash occurs and helmet color are dependent O C. Ho: Whether a crash occurs and helmet color are dependent H4: Whether a crash occurs and helmet color are independent O D. Ho: Injuries and helmet color are independent H1: Injuries and…
The data to the right represent the number of chocolate chips per cookie in a random sample of a name brand and a store brand. Complete parts (a) to (c) below. Full data set D Name Brand Store Brand 20 23 26 24 28 19 21 27 33 28 33 15 29 22 25 17 22 21 22 30 20 26 23 24 25 27 ... (a) Draw side-by-side boxplots for each brand of cookie. Label the boxplots "N" for the name brand and "S" for the store brand. Choose the correct answer below. OA. OB. OC. N- N- N- 10 20 30 40 10 20 30 40 10 20 30 40 (b) Does there appear to be a difference in the number of chips per cookie? O A. Yes. The store brand appears to have more chips per cookie. O B. No. There appears to be no difference in the number of chips per cookie. O C. Yes. The name brand appears to have more chips per cookie. O D. There is insufficient information to draw a conclusion. (c) Does one brand have a more consistent number of chips per cookie? O A. No. Both brands have roughly the same number of chips per cookie. O B. Yes. The…
Hotel 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
The following data are from an experiment designed to investigate the perception of corporate ethical values among individuals who are in marketing. Three groups are considered: management, research and advertising (higher scores indicate higher ethical values). Marketing Managers Marketing Research Advertising 4 7 8 3 7 9 2 6 8 3 6 7 4 7 8 2 6 8 Compute the values identified below (to 2 decimal, if necessary). Sum of Squares, Treatment Sum of Squares, Error Mean Squares, Treatment Mean Squares Error Use 0L = .05 to test for a significant difference in perception among the three groups. Calculate the value of the test statistic (to 2 decimals). P-value = Using 0L = .05, determine where differences between the mean perception scores occur. Calculate Fisher's LSD value (to 2 decimals).