Test for a negative correlation using the sample correlation r = -0.43 and the sample size n = 18.State the null and alternative hypotheses.:: µ1:: p:: P1:: P2:: 0:: <:: >:: x:: x2PiP2:: rvs Ha:IHo:::::::II Find the test statistic.Round your answer to two decimal places.t =iFind the p-value.Round your answer to three decimal places.The p-value is iWhat is the conclusion, using a 5 % significance level?O Ho.Is the correlation significant?<>

Answered: Test for a negative correlation using…

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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Let wages denote hourly wages, educ years of education, and exper years of experience, and suppose log(wages) = f1 + 62educ + B3exper +e where E[eleduc, exper] = 0. Let b1, b2, and bz be our estimates for B1, B2, and ß3 and r23 denote the sample correlation between {educ,}", and {exper, }". Which of the following statements is true? II O a. The variance of b3 does not depend on r23. O b. The variance of b, is increasing in E" (educ, – educ,)² (all else equal). O c. The variance of b2 is at least as large as o²/ E", (educ, - educ,)2 for o? Var(eleduc, exper). O d. The variance of b2 depends on the sign of r23. O e. The variance of b2 always increases as r23 increases (all else equal).
A researcher found a significant correlation of .12 between gender (coded as 0 = ‘male’ and 1 = ‘female’) and number of friends at university. If the assigned values of gender were changed to 1 = ‘female’ and 2 = ‘male’, how would this affect the correlation? The strength of the relationship would become weaker The amount of variance explained by the relationship would increase It would become nonsignificantThe sign would change to become negative A researcher is trying to predict anxiety (measured on a 7-point scale) from exposure to stress (operationalised as the number of stressful life events participants can recall in the last week). She has found a correlation coefficient of r = .54 between anxiety and stress, with a standard deviation of 4.45 for anxiety and a variance of 17.21 for stress. What other information is needed to calculate b? The sums of squares of stressThe sums of products of anxiety and stress The covariance of anxiety and stressNo other information is…
What is the sample correlation coefficient for these data? Carry your intermediate computations to at least four decimal places and round your answer to at least three decimal places.
The following information represents chlorine residuals in swimming pool (y) and the testing time (y) in different hours: n = 6, Ey = 8.8, Ey = 18.68, Ex = 42, Ex2 = 364, and Exy = 48.6 The sample correlation coefficient is: -0.6467 - 0.9899 - 0.9088 0.6467
USE STATCRUNCH TO SHOW WORK OR EXPLAIN HOW TO PUT ON STATCRUNCH TO SOLVE
To investigate if online tutoring is as effective (measured by passing rate) as tutoring in person, we collected random samples of students using each of the tutoring method exclusively and performed two statistical analysis (Chi square and correlation). In the outputs, tutor=1 means online, tutor=0 in person, pass =1 means passed a course while 0 means failed. Choose the correct method and report your findings. Output1 Pearson Correlation Coefficients, Prob > |r| under H0: Rho=0 tutoring pass tutoring 1.00000 0.47579 0.0642 pass 0.47579 1.00000 0.0642 Output2 pass tutor Frequency‚…
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Calculate estimates of the standard deviations sz, Sy of the samples r = (5,9, 7) and y = (-1,2,5) as well as the Pearson coefficient of correlation rry of r and y. Which of the following answers are correct? a) sz = 4, sy = 9 b) rzy = 0 c) sz = 2, sy = 3 d) Tzy = } e) rzy =
Iilustraiion 19.28, A correlation :coefficient of 0.2 is obtained from a random sample of 1,600 pairs of observations. Do you think this value of correlation coefficient is signinificant?

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Test for a negative correlation using the sample correlationr = -0.43 and the sample size n = 18. State the null and alternative hypotheses. :: µ1 :: µ2 : Pi : P2 :: 0 :: p :: = :: < :: > :: x :: x1 :: x2 :: p :: P1 :: P2 : r Ho: : vs Ha: