3445.7Example8. Calculate Karl Pearson's coefficient of correlation for the following data bytaking the deviation from assumed means of x and y series15161718192021y80756040302010

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Answered: Example8. Calculate Karl Pearson's…

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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(see problem attached) Compute the pearson correlation coefficient of this data: r= The correlation is: Medium and negative Large and negative Large and positive Medium and positive The alternative hypothesis in words for a two-tailed test is: The correlation between the scores on the 7-minute screen test and the scores on the cognitive series is significant The correlation between the scores on the 7-minute screen test and the scores on the cognitive series is not significant The correlation between the scores on the 7-minute screen test and the scores on the cognitive series is less than zero The correlation between the scores on the 7-minute screen test and the scores on the cognitive series is greater than zero The null hypothesis in symbols for a two-tailed test is H0: ρ = 0 H0: ρ ≠ 0 H0: r = 0 H0: r ≠ 0 If we use a two-tailed test with α = .01, the critical r values are: ±0.833 ±0.874 ±0.754 ±0.669 Your decision is:…
E4-46
Determine the required value of the missing probability to make the distribution a discrete probability distribution. P(x) - 0.22 4 ? 0.46 6. 0.16 ... P(4) = (Type an integer or a decimal.)
e 1.1.2.1.31415161718910111213141516 3. Scores of ten students in Chemistry and Statistics examinations are as follow: Chemistry 21 82 50 65 Statistics 45 95 60 75 Q Search 75 55 hp 80 18 36 70 40 85 95 48 95 Test the significance of correlation Statistics of the students. Use at 0.05 level of confidence. between the scores in Chemistry and
Annual high temperatures in a certain location have been tracked for several years. Let XX represent the year and YY the high temperature. Based on the data shown below, calculate the correlation coefficient (to three decimal places) between XX and YY. Use your calculator! x y 3 16.82 4 15.96 5 16.9 6 15.14 7 17.18 8 15.12 9 17.16 10 14.7 r=
Annual high temperatures in a certain location have been tracked for several years. Let XX represent the year and YY the high temperature. Based on the data shown below, calculate the correlation coefficient (to three decimal places) between XX and YY. Use your calculator! x y 1 10.62 2 13.85 3 12.68 4 10.31 5 12.44 6 10.07 7 11.1 r=r=
Annual high temperatures in a certain location have been tracked for several years. Let XX represent the year and YY the high temperature. Based on the data shown below, calculate the correlation coefficient (to three decimal places) between XX and YY. Use your calculator! x y 5 13.15 6 13.1 7 13.75 8 14.6 9 13.85 10 14.3 11 18.25 12 15.9 13 19.55 14 18.2 15 18.95 16 21 r=r=
0. 16. Calculate co-efficient of rank correlation from the following data. x= 15 12 14 13 8 7 5. y = 18 6 8 9. 12 7 11 10.
A study was done to look at the relationship between number of vacation days employees take each year and the number of sick days they take each year. The results of the survey are shown below. Vacation Days 11 Sick Days 2 008 4 5 0 10 86 3 8 1 15 a. Find the correlation coefficient: r = Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: Ho: ? V = 0 H1: ? V The p-value is: (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. O There is statistically significant evidence to conclude that an employee who takes more vacation days will take fewer sick days than an employee who takes fewer vacation days . O There is statistically significant evidence to conclude that there is a correlation between the number of vacation days taken and the number of sick days taken. Thus, the regression line is useful. O There is statistically insignificant evidence to conclude…
1. The figures in the following table give the number of criminal convictions and the number unemployed (in millions) for the years 1924-33. Find the coefficient of rank correlation.
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Example8. Calculate Karl Pearson's coefficient of correlation for the following data by taking the deviation from assumed means of x and y series 15 16 17 18 19 20 21 y 80 75 60 40 30 20 10