8.65472x: 7,7, 6, 8, 11, 5, 5, 5, 7, 3, 4, 5, 8, 4y: 69, 71, 73, 64, 62, 73, 62, 69, 68, 74, 75, 78, 65, 72Conduct a hypothesis test with a 7% level of significance to determine whether or not there is asignificant linear correlation between the number of classes a student misses and their score on thefinal exam.Step 1: State the null and alternative hypotheses.Ho:PHa:P(So we will be performing a two-tailedV test.)Part 2 of 4Step 2: Determine the features of the distribution used to test the significance of thecorrelation coefficient.To test the significance of the correlation coefficient, we will use a t-distributionwith12v degrees of freedom.Part 3 of 4Step 3: Find the p-value of the point estimate.P(r sYP(t v%3DmavalueO 0076 Part 1 of 4Can we infer a students score on their final exam based on how many class meetings they missed?The table below gives this information for 14 students. (Comma separated lists of the data are alsoprovided below the table to ease in copying the data to R.)Number of Missed Classes (x)Percent Score on Final Exam (y)769717386411625735626976837447578865472x: 7,7,6, 8, 11, 5, 5, 5, 7, 3, 4, 5, 8, 4y: 69, 71, 73, 64, 62, 73, 62, 69, 68, 74, 75, 78, 65, 72Conduct a hypothesis test with a 7% level of significance to determine whether or not there is asignificant linear correlation between the number of classes a student misses and their score on thefinal exam.Step 1: State the null and alternative hypotheses.

The correlation between the two variables can be obtained by using the "CORREL()" function in excel…

x: 7,7, 6, 8, 11, 5, 5, 5, 7, 3, 4, 5, 8, 4 y: 69, 71, 73, 64, 62, 73, 62, 69, 68, 74, 75, 78, 65, 72 Conduct a hypothesis test with a 7% level of significance to determine whether or not there is a significant linear correlation between the number of classes a student misses and their score on the final exam. Step 1: State the null and alternative hypotheses. Ho:P Ha:p #v 0 (So we will be performing a two-tailed test.) Part 2 of 4 Step 2: Determine the features of the distribution used to test the significance of the correlation coefficient. To test the significance of the correlation coefficient, we will use a t-distribution v with 12 v degrees of freedom. Part 3 of 4 Step 3: Find the p-value of the point estimate. P(E %3D P(r Sv %3D

x: 7,7, 6, 8, 11, 5, 5, 5, 7, 3, 4, 5, 8, 4 y: 69, 71, 73, 64, 62, 73, 62, 69, 68, 74, 75, 78, 65, 72 Conduct a hypothesis test with a 7% level of significance to determine whether or not there is a significant linear correlation between the number of classes a student misses and their score on the final exam. Step 1: State the null and alternative hypotheses. Ho:P Ha:p #v 0 (So we will be performing a two-tailed test.) Part 2 of 4 Step 2: Determine the features of the distribution used to test the significance of the correlation coefficient. To test the significance of the correlation coefficient, we will use a t-distribution v with 12 v degrees of freedom. Part 3 of 4 Step 3: Find the p-value of the point estimate. P(E %3D P(r Sv %3D

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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