Use Spearman rho formula to determine if there is a correlation between the English and Math score of 10 students English 86 76 46 71 82 64 58 80 75 61 Math 66 80 40 60 65 56 58 77 67 81 Ho: Ha: Calculated Value: Tabulated Value:

Use Spearman rho formula to determine if there is a correlation between the English and Math score of 10 students English 86 76 46 71 82 64 58 80 75 61 Math 66 80 40 60 65 56 58 77 67 81 Ho: Ha: Calculated Value: Tabulated Value:

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 negative 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 0.01 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 55 20 38 21 80 32 35 20 54 29 80 31 74 79 60 18 Ho: p = 0 Ha: p=0 Find the Linear Correlation Coefficient Find the p-value p-value = The p-value is Greater than o Less than (or equal to) a The p-value leads to a decision to Do Not Reject Ho Accept Ho Reject Ho The conclusion is There is a significant positive linear correlation between driver age and number of driver deaths. There is a significant negative linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. There is insufficient evidence to make a conclusion about the linear correlation between…
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
Many people believe that crime rate declines with age. a) Use the data below to verify whether this is true using a scatterplot. b) Is the relationship between crime rate and age strong, medium, or weak? c) Can the correlation coefficient be used to measure the extent to which crime rate is related to age? E Click the icon to view the data. a) Choose the correct scatterplot below. O A. O B. OC. OD. 20,000- 20,000- 20,000- 20,000- 0- Age Age Age Age Does it appear that the crime rate declines with age? O A. The crime rate tends to gradually increase with age. B. The crime rate tends to increase until adulthood, after which it gradually declines. OC. The crime rate tends to increase until middle age, after which it gradually declines. O D. The crime rate tends to gradually decrease with age. b) Is the relationship between crime rate and age strong, medium, or weak? O A. The scatterplot appears to show a medium relationship. B. The scatterplot appears to show a weak relationship. O C. The…
The following data shows the results for 20 students in one of the post graduate unit.42 66 67 71 78 62 61 76 71 6761 64 61 54 83 63 68 69 81 53Based on the information given you are required to Compute the mean, median and mode.
Construct a scatter plot from the given points and describe the correlation.
Estimate the most likely degree of correlation for the scatterplot Options: a. 0 b. .85 c. -.90 d. -.05
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 0.01 and round all values to 4 decimal places. Driver Age 65 69 48 37 49 27 62 64 Ho: p = 0 Ha: p = 0 r= Find the p-value p-value= Number of Driver Deaths per 100,000 22 22 34 Find the Linear Correlation Coefficient The p-value is Greater than a Less than (or equal to) a 23 28 20 The p-value leads to a decision to O Do Not Reject Ho O Accept Ho O Reject Ho 33 33 The conclusion is O There is a significant negative 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 insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. O There is a significant positive linear correlation…
ASK YOUR TEACHER The superintendent of a school district wants to determine if there is a statistically significant correlation between expenditures and test scores. She finds the top 10 Sonoma County school districts, ranked by spending, and the test scores shown in the table. Top 10 Sonoma County School Districts by Spending f dollars District Expenditure Test Score (API) Horicon $20,136 676 Fort Ross 17,123 767 Montgomery 16,539 844 Monte Fio 14,280 872 Kenwood 13,248 871 Geyserville 12,499 776 Alexander Valley 11,640 894 Harmony 11,353 863 Two Rock 10,406 866 Roseland 10,059 779 What is the correlation between the expenditure (x) and the test score (y)? (Round your answer to four decimal places.) r = Is this correlation significant at either the 5% or the 1% significance level? Yes, there is a correlation. It is significant at the 1% level. Yes, there is a correlation. It is significant at the 5% level. O No, there is no significant correlation. Need Help? Reid it Additional…
State each case whether you would expect a positive correlation, a negative, or no correlation. 1) The number of campaign materials used by a senatorial candidate and the number of votes earned.
State each case whether you would expect a positive correlation, a negative, or no correlation. 1) Educational attainment and salary.
Use the output below to test to see if there is a significant positive linear relation between height and head circumference in children. Use a 5% level of significance. Correlations: Height, Head Circ Pearson correlation of Height and Head Circ 0.911 P-Value 0.000