1. A political analyst in Texas surveys a random sample of registered Democrats and compares the results with those obtained from a random sample of registered Republicans. This would be an example of: a. Independent samples. b. dependent samples. c. Independent samples only if the sample sizes are equal. d. Dependent samples only if the sample sizes are equal.
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- A certain company will purchase the house of any employee who is transferred out of state and will handle all details of reselling the house. The purchase price is based on two assessments, one assessor being chosen by the employee and one by the company. Based on the sample of eight assessments shown, do the two assessors agree? Use the .01 level of significance. Assessments of Eight Homes ($ thousands) Assessed by Home 1 Home 2 Home 3 Home 4 Home 5 Home 6 Home 7 Home 8 Company 328 350 455 278 290 285 535 745 Employee 318 345 470 285 310 280 525 765 a) Choose the appropriate hypotheses. Assume d = company assessed value – employee assessed value. H0: μd = 0 versus H1: μd ≠ 0. H0: μd ≠ 0 versus H1: μd = 0. (b) State the decision rule for .01 level of significance. (Round your answers to 2 decimal places. A negative value should be indicated by a minus sign.) Reject the null hypothesis if tcalc < or tcalc > . (c-1) Find the test statistic tcalc.…State whether each situation has independent or paired (dependent) samples. a. A researcher wants to compare the salaries of men and women. She finds a random sample of 80 men and 80 women, and measures their salaries. b. A researcher wants to know whether professors with tenure have fewer office hours than professors without tenure. She observes the number of office hours for professors with and without tenure. a. Choose the correct answer below. O Independent samples O Paired (dependent) samples b. Choose the correct answer below. O Independent samples Paired (dependent) samples10. A supermarket conducted a survey of 1000 consumers. Their population was "adults who shop for groceries." Use specific examples to explain how the following biases could have had the following effects: a. How could sampling bias have made it seem like adults eat more bread than in reality? b. How could non-response bias have made it seem like adults eat less fruit than in reality? c. How could response bias have made it seem like adults eat more vegetables than in reality? d. How could measurement bias have made it seem like adults drink more coffee than in reality?
- The operations manager of a company that manufactures tires wants to determine whether there are any differences in the quality of workmanship among the three daily shifts. She randomly selects 499 tires and carefully inspects them. Each tire is either classified as perfect, satisfactory, or defective, and the shift that produced it is also recorded. The two categorical variables of interest are: shift and condition of the tire produced. The data can be summarized by the accompanying two-way table. Perfect Satisfactory Defective Total Shift 1 106 124 2 232 Shift 2 66 85 3 154 Shift 3 36 74 3 113 Total 208 283 8 499 A) This sample has degree of freedom:��= If shift and quality are independent, thenB) With any expected count accurate to 2 decimal places, the expected count in row 1 column 1 is�1,1= C) With any component accurate to 2 decimal places, the component value in row 1 column 1 of the table iscomponent1,1= D) �2 value of this sample is�2= . Round to 2 decimal…Difference tests are conducted to determine: A. the representative value in a given set of scores. B. whether two or more groups differ on an outcome. C. if the assumptions of a statistical procedure have been met. D. whether two variables correlate with each other.20. Given the information below, what kind of samples are being described? Sample 1: Test scores for 35 statistics students. Sample 2: Test scores for 42 biology students who do not study statistics. A. Dependent samples B. Unknown samples C. Independent samples D. One sample
- 19. Given the information below, what kind of samples are being described? Sample 1: Resting heart rates of 35 individuals before drinking coffee. Sample 2: Resting heart rates of the same individuals after drinking coffee. A. Dependent samples B. Unknown samples C. Independent samples D. One sample . Given the information below, what kind of samples are being described? Sample 1: Test scores for 35 statistics students. Sample 2: Test scores for 42 biology students who do not study statistics. A. Dependent samples B. Unknown samples C. Independent samples D. One sample fuom the given helow.Two hundred students were sampled in the College of Engineering. It was found that: 137 take math, 50 take history, 124 take English, 33 take math and history, 29 take history and English, 92 take math and English, 18 take math, history and English. From the given information, there are a. Blank 1 students taking neither math nor history. b. Blank 2 students taking at least 2 subjects. c. Blank 3 students taking no more than one subject.A certain company will purchase the house of any employee who is transferred out of state and will handle all details of reselling the house. The purchase price is based on two assessments, one assessor being chosen by the employee and one by the company. Based on the sample of eight assessments shown, do the two assessors agree? Use the .01 level of significance. Assessments of Eight Homes ($ thousands) Assessed by Home 1 Home 2 Home 3 Home 4 Home 5 Home 6 Home 7 Home 8 Company 330 345 452 270 298 286 537 744 Employee 317 350 473 280 307 283 523 769 Click here for the Excel Data File (a) Choose the appropriate hypotheses. Assume d = company assessed value – employee assessed value. multiple choice 1 H0: μd = 0 versus H1: μd ≠ 0. H0: μd ≠ 0 versus H1: μd = 0. (b) State the decision rule for .01 level of significance. (Round your answers to 2 decimal places. A negative value should be indicated by a minus sign.) Reject the null hypothesis if tcalc < or…
- American businesses provide?" The distribution of responses to this question was as follows: Excellent 8% Pretty good 47% Only fair 34% Poor 11% Suppose a store manager wants to find out whether the results of this consumer survey apply to customers of supermarkets in his city. To do so, he interviews 207 randomly selected customers as they leave the supermarkets in various parts of the city as to their rating of service. Following is the number of responses and distribution of this survey: Excellent 21 Pretty good 109 Only fair 62 Poor 15 Please answer the following: Determine whether the observed frequencies of responses from this survey are statistically the same as the frequencies that would be expected on the basis of the national survey. Hint: Think goodness-of-fit. Also, check out my attachment. Can you describe a chi-squared application, either goodness-of-fit or test-for-independence, in your….Pick the Test (Z-test, Single Sample T-test, Independent Sample T-test, Paired Sample Ttest, ANOVA): Suppose that two brands of gasoline were being compared for mileage. Samples of each brand were used in identical cars under identical conditions. Nine tests were made of Brand I and six tests of Brand II. Are the two brands significantly different? Test:Sharon is interested in testing the differences between student populations at two different universities. If she randomly selects students from both universities, she is examining _____ sample(s). a. confounded b. independent c. single d. dependent