Specify the rejection region for Spearman's nonparametric test for rank correlation in each of the situations below. a. Ho: p=0, H3a: p#0, n= 25, a = 0.05 b. Ho: p= 0, H: p<0, n= 20, a = 0.01 c. Ho: p= 0, H3: p>0, n= 15, a= 0.005 Click the icon to view a table of critical values of Spearman's rank correlation coefficient. a. Specify the rejection region for Hp: p= 0. H3: p#0, n= 25, a= 0.05. Select the correct choice and fill in the appropriate answer box below. (Round to three decimal places as needed.) O A. 5> O B. , b. Specify the rejection region for Ho: p=0, H: p<0, n = 20, a = 0.01. Select the correct choice and fill in the appropriate answer box below. (Round to three decimal places as needed.) O A. rs|> O B. 5> Oc. r< c. Specify the rejection region for Hn: p= 0, H,: p>0, n = 15, a= 0.005. Select the correct choice and fill in the appropriate answer box below. (Round to three decimal places as needed.) O A. 5 B. s|> Oc. 15>I

Specify the rejection region for Spearman's nonparametric test for rank correlation in each of the situations below. a. Ho: p=0, H3a: p#0, n= 25, a = 0.05 b. Ho: p= 0, H: p<0, n= 20, a = 0.01 c. Ho: p= 0, H3: p>0, n= 15, a= 0.005 Click the icon to view a table of critical values of Spearman's rank correlation coefficient. a. Specify the rejection region for Hp: p= 0. H3: p#0, n= 25, a= 0.05. Select the correct choice and fill in the appropriate answer box below. (Round to three decimal places as needed.) O A. 5> O B. , b. Specify the rejection region for Ho: p=0, H: p<0, n = 20, a = 0.01. Select the correct choice and fill in the appropriate answer box below. (Round to three decimal places as needed.) O A. rs|> O B. 5> Oc. r< c. Specify the rejection region for Hn: p= 0, H,: p>0, n = 15, a= 0.005. Select the correct choice and fill in the appropriate answer box below. (Round to three decimal places as needed.) O A. 5 B. s|> Oc. 15>I

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 following table shows the weekly sales, test scores & achievement ratings of 5 salespersons working for a local car dealership: Salesperson Weekly Sales (Y) Sales Aptitude Test Score (x1) Mechanical Achievement (x2) Walters 11 10 6 Sullivan 5 4 2 Obmer 8 1 4 Smith 12 7 5 Jones 4 3 1 Brown 6 5 3 Black 7 2 2 Calculate the multiple correlation coefficient.. Select one: a. 0.925 b. 0.952 c. 0.295 d. 0.592
What is the relationship between the amount of time statistics students study per week and their final exam scores? The results of the survey are shown below. Time Score 4 7 64 79 0 68 7 79 1 5 47 67 0 44 a. Find the correlation coefficient: r = 0.69 Round to 2 decimal places. b. The null and alternative hypotheses fo Enter an integer or decimal number [more..] 1 Ho: p = 0 H₁: po 0 d. 2 = e. Interpret 7²: The p-value is: 2.3646 (Round to four decimal places) c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. 4 2 50 66 O There is statistically significant evidence to conclude that a student who spends more time studying will score higher on the final exam than a student who spends less time studying. There is statistically significant evidence to conclude that there is a correlation between the time spent studying and the score on the final exam. Thus, the regression line is useful. O There is statistically…
18
The data below are the final scores of 10 randomly selected statistics students and the number of hours they studied for the final. What is the best-predicted value for y given x = 6? Assume that the variables x and y have a significant correlation. hours x: 3,5,2,8,2,4,4,5,6,3 scores y: 65,80,60,88,66,78,85,90,90,71 A.84 B.86 C.85 D.87
Which of the following correlation coefficients might lead a researcher to conclude that there is a weak, but significant, negative linear relation between variables X and Y? a. r=0.99 b. r=0.30 c. r=0 d. r=-0.30 c. r=-0.99
Consider below the correlation between the test result in the First attempt and the Second attempt. Which of the following statement best describes the diagram? Select one: a the correlation is -1.00 b there is a very weak linear correlation c there is a very strong negative linear correlation d there is a very strong positive correlation
Two separate tests are designed to measure a student's ability to solve problems. Several students are randomly selected to take both tests and the results are shown below. Test A (x) 43 65 73 34 99 78 65 Test B (y) 39 60 62 20 85 70 54 1. Calculate r, the linear correlation coefficient. Identify the values for each part below. Part a. The value of n Part b. The sum of the x-values Part c. The sum of the y-values Part d. The sum of the x-squared values Part e. The sum of the y-squared values Part f. The sum of the (xy) values Part g. The final value of r rounded top three decimal places
choose the correct answer Given the following X and Y variables. Determine the Pearson-r correlation value. (photo) a. 0.412 b. - 0.785 c. 0.248 d. - 0.293 What is the range of the given data set: 25, 19, 30, 12, 45, 11, 32, 49, 23, 36, 34 ? a. 49 b. 26 c. 38 d. 44 Thank you!!!
2.) The table shown below are the raw scores obtained by eight (8) students. Is there a relationship in their scores in Mathematics and in Biology? Use Pearson Product-Moment Coefficient of Correlation to establish the relationship. Student 1 3 4 6. 8. Mathematics (x) 6. 3. 4 3 Biology (y) 8. 3. 7 4
7
What is the correlation coefficient for the data? (Round to three decimal places as needed.) Which of the following best describes the association between fat and calories?O A. There is a strong curved association.O B. There is a strong negative linear association.O C. There is a strong positive linear association.O D. There is a weak positive linear association.O E. There is a weak negative linear association.O F. There is no apparent association between fat and calories
Below shows the linear relationship between first year college GPA and high school GPA For both variables the GPA ranges from 0 to 4 in this sample. However, for the high schools sampled in this region, the true range of GPA is 0 to 5, how might this affect the correlation between these two variables?