You wish to determine if there is a linear correlation between the two variables at a significance level ofa=0.01. You have the following bivariate data set. Round answers to 3 decimal places.Xy73.489.883.8 131.645.8 -14.490.6 117.650.7-0.458.6 10.978.799.784.9 100.984.2 102.775.6 71.669.380.372.1 88.259.135.453.734.936.2-46.447.92665.6-46.467.756.766.228What is the critival value for this hypothesis test?+Tc.v.=What is the correlation coefficient for this data set?

Given, The given data is as follows:…

Answered: You wish to determine if there is a…

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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You wish to determine if there is a linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 21 22 39 21 38 18 23 22 79 36 42 22 65 29 Ho: p = 0 Ha: p= 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is O Less than (or equal to) a Greater than a The p-value leads to a decision to O Reject Ho O Accept Ho O Do Not Reject Ho The conclusion is O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. O There is a significant negative linear correlation between driver age and number of driver deaths. O There is a significant positive linear correlation…
13
Statistics Question
Two companies produce widgets of varying quality. An important measure of quality is the number of days the widgets can go before they need to be replaced. Do the following data provide evidence that the quality of widgets from the two companies differ? Round the p-value to three decimal places. Do not assume equal variances. Widget Life in Days from Company 1 13.0 13.2 43.2 40.7 55.0 57.3 43.8 49.9 31.7 Widget Life in Days from Company 2 57.1 57.7 59.1 58.7 51.6 57.9
Exhibit 13-31 To test whether or not there is a difference between treatments A, B, C and D, a sample of 12 observations has been randomly assigned to the four treatments. You are given the results below. Treatment A B 2 C D 1.872 46.33 15.44 Observation 36 30 26 30 26 25 33 Refer to Exhibit 13-31. The mean square between treatments (MSTR) equals 20 28 28 22 34 28
Here is a bivariate data set. 35.9 78.4 35.5 73.3 38 44.8 40.7 47.5 37.4 55.9 32.4 73.7 29.7 73.5 Find the correlation coefficient and report it accurate to three decimal places. Question Help: Message instructor Submit Question 9MB du
re is a bivariate data set. x y 24.8 12.9 35.2 39.9 -1.9 -21 49.5 39.4 29 35.7 34.5 23.8 25.8 12.3 48.7 85.2 23 3.1 23.4 22.7 22.9 3.2 41.7 41.2 36.4 4.9 21.3 23.4 -0.7 5.5 34.8 79.7 Find the correlation coefficient and report it accurate to three decimal places.r = What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place.r² = %
A food truck owner recorded the temperature at noon, in degrees Fahrenheit, and the number of bowls of soup sold during the lunch hour for a random sample of 5 days. The data are shown in the following table. Temperature (degrees Fahrenheit) 57 75 43 68 67 Number sold 17 12 20 8 13 The mean temperature of the sample is 62 degrees Fahrenheit, and the mean number sold is 14. What is the correlation between the temperature and the number sold? A -0.85 B -0.68 0.68 D 0.73 E 0.85
Consider the following table. Compare the mean, median, and mode of all of the exam scores with the mean, median, and mode of the exam scores removing the one score of zero. Which measure of average is most affected by eliminating the score of zero? Mean Median Mode Exam scores including score of zero 58.6 80 80 Exam scores without the score of zero 81.7 81 80
I need help with questions 1 and 2
Two companies produce widgets of varying quality. An important measure of quality is the number of days the widgets can go before they need to be replaced. Do the following data provide evidence that the quality of widgets from the two companies differ? Round the p-value to three decimal places. Do not assume equal variances. Widget Life in Days from Company 1 Widget Life in Days from Company 2 12.0 52.2 14.0 45.8 48.4 44.6 47.0 57.5 50.4 44.2 57.4 50.8 30.8 43.0 30.0
The Focus Problem at the beginning of this chapter asks you to use a sign test with a 10% level of significance to test the claim that the overall temperature distribution of Madison, Wisconsin, is different (either way) from that of Juneau, Alaska. The monthly average data (in °F) are as follows. Month Jan. Feb. March April May June Madison 17.8 21.4 31.8 46.9 57.1 67.8 Juneau 22.8 27.5 31.8 38.6 46.2 52.7 Month July Aug. Sept. Oct. Nov. Dec. Madison 71.9 69.5 60.8 51.7 35.6 22.2 Juneau 55.6 54.9 49.3 41.1 32.5 26.3 (a) What is the level of significance? (b) Compute the sample test statistic. (Use 2 decimal places.) (c) Find the P-value of the sample test statistic

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