KA magazine tested LCD televisions. The table below shows the overall quality score and cost in hundreds of dollars.Use the rank correlation coefficient to test for a correlation between the two variables. Use a significance level ofa=0.01. Based on these results, can you expect to get higher quality by purchasing a more expensiveLCD television?78 77 73737171 68 65 64 62 62 59 5526 29 36 23 21 10 26 23 12 10 21Click the icon to view the critical values of Spearman's rank correlation coefficient.QualityCostDetermine the null and alternative hypotheses for this test. Choose the correct answer below.OA. Ho: r =0OB. Ho: P₂ *0H₁: rg #0H₁: P₂ = 0OC. Ho: P = 0H₁: P₂ #0Determine the correlation coefficient.= (Round to three decimal places as needed.)Determine the critical value(s) of the correlation coefficient.□(Round to three decimal places as needed. Use a comma to separate answers as needed.)Choose the correct answer below.O A. Reject the null hypothesis. There is sufficient evidence to support a claim of a correlation between qualityand price.B. Reject the null hypothesis. There is insufficient evidence to support a claim of a correlation between qualityand price.claim of a correlation betweenSpearman's Rank Correlation Coefficientn56789101112131415161718192021222324252627282930-1a/2714643600-Critical Values of Spearman's RankCorrelation Coefficient ra -0.10900829564536-50348420464446414401391380370361-r353344337P331324317312306Print886786.738.700648-0.05 a-0.02618587560www538521521503485472460447435430425A25415406a/2...398"₂www390382375368362943893833783745.709678648626604582566550535520508496486476466457OD. Ho: 0H₁: r₂ = 0448440433425Done1a = 0.01929881833794755727dar.703679679654635.615600584570ar556544344532521521511501491483475467Xclaim of a correlation betweenaining: 03:34:21Next A magazine tested LCD televisions. The table below shows the overall quality score and cost in hundreds of dollars.Use the rank correlation coefficient to test for a correlation between the two variables. Use a significance level ofx=0.01. Based on these results, can you expect to get higher quality by purchasing a more expensiveLCD television?Quality 78 77 73 71 68 65 64 62Cost26 29 36 23 21 1062 59 5512 10 2126 23Click the icon to view the critical values of Spearman's rank correlation coefficient.Determine the null and alternative hypotheses for this test. Choose the correct answer below.O A. Ho: rs = 0OB. Ho: Ps #0H₁: Ps=0H₁: rs #0OC. Ho: Ps = 0H₁: Ps #0CDetermine the correlation coefficient.rs = (Round to three decimal places as needed.)Determine the critical value(s) of the correlation coefficient.O D. Ho: rs #0H₁: rs=0(Round to three decimal places as needed. Use a comma to separate answers as needed.)Choose the correct answer below.A. Reject the null hypothesis. There is sufficient evidence to support a claim of a correlation between qualityand price.B. Reject the null hypothesis. There is insufficient evidence to support a claim of a correlation between qualityand price.C. Fail to reject the null hypothesis. There is insufficient evidence to support a claim of a correlation betweenquality and price.OD. Fail to reject the null hypothesis. There is sufficient evidence to support a claim of a correlation betweenquality and price.

Given that At level of significance=0.01 We have to find spearman rank correlation coefficient and…

Answered: Quality 78 77 73 71 68 65 64 62 62 59…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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For the X and Y, data below, compute the Pearson correlation. Also, perform a hypothesis test to determine if it is significantly different from zero or not. What is the test significance (i.e., p-value)? Please round your answers to the fourth decimal place. X Y 2 Test Significance 5 Pearson Correlation 4 6 4 7 5 11 6 12
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…
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 11 5 Score 82 68 70 63 62 54 78 69 x-values y-values a. Find the correlation coefficient: r = b. The null and altemative hypotheses for correlation arer Ho: ?v H: ?v to Round to 2 decimal places. = 0 The p-value is: (Round to fsur decimal places) d. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. Select an answer p² = (Round to two decimal places) f. Interpret 2 : Select an answer g. e. The equation of the linear regression line is: = (Please show your answers to two decimal places) h. Use the model to predict the final exam score for a student who spends 7 hours per week studying. Final exam score = (Please round your answer to the nearest whole number.) i. Interpret the slope of the regression line in the context of the question: Select an answer j.…
NHL Assists and Total Points A random sample of scoring leaders from the National Hockey League (NHL) showed the following numbers of assists and total points. Based on these data, can it be concluded that there is a significant relationship between the two? Compute the value of the correlation coefficient. Round your answer to at least three decimal places. r = State the hypotheses. H0: H1: One-tailed or two-tailed test? Critical Value: Test Value: Make the decision to reject or not reject the null hypothesis. Summarize the results. Is there enough evidence to support or reject the claim. Assists 65 67 69 58 44 73 Total points 94 91 89 88 86 112
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 6 0 14 0 3 2 14 5 Score 64 66 91 65 59 60 86 71 Find the correlation coefficient: r=r= Round to 2 decimal places. The null and alternative hypotheses for correlation are:`H0: ` == 0`Ha:` ≠≠ 0 The p-value is: (Round to four decimal places) Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study.
What is the relationship between the attendance at a major league ball game and the total number of runs scored? Attendance figures (in thousands) and the runs scored for 8 randomly selected games are shown below. Attendance 24 44 35 60 56 42 27 31 Runs 5 9 6 12 16 13 8 12 Find the correlation coefficient: r=r= Round to 2 decimal places. The null and alternative hypotheses for correlation are:H0:H0: ? μ ρ r == 0H1:H1: ? ρ r μ ≠≠ 0 The p-value is: (Round to four decimal places) r2r2 = (Round to two decimal places) (Round to two decimal places) Interpret r2r2 : There is a 51% chance that the regression line will be a good predictor for the runs scored based on the attendance of the game. Given any fixed attendance, 51% of all of those games will have the predicted number of runs scored. There is a large variation in the runs scored in baseball games, but if you only look at games with a fixed attendance, this variation on average is reduced by 51%. 51%…
p20 need help with parts b and d please 0.0498 0.67 wrong
Need A B D

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