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x: 5, 5, 5, 2, 6, 5, 4, 3, 7, 3 y: 13, 13, 12, 12, 14, 17, 12, 12, 15, 7 Conduct a hypothesis test with a 5% level of significance to determine whether or not the operative time and the length of a patient's hospital stay are correlated. Step 1: State the null and alternative hypotheses. Ho:PE Ha:p #v (So we will be performing a two-tailed v test.) Part 2 of 4 Step 2: Determine the features of the stribution used to test the significance of the correlation coefficient. To test the significance of the correlation coefficient, we will use a t-distribution with 8 degrees of freedom. Part 3 of 4 Step 3: Find the p-value of the point estimate. = P([ vV 2v P(r| 2.18 V0.05 0.05 %3D p-value %3D

x: 5, 5, 5, 2, 6, 5, 4, 3, 7, 3 y: 13, 13, 12, 12, 14, 17, 12, 12, 15, 7 Conduct a hypothesis test with a 5% level of significance to determine whether or not the operative time and the length of a patient's hospital stay are correlated. Step 1: State the null and alternative hypotheses. Ho:PE Ha:p #v (So we will be performing a two-tailed v test.) Part 2 of 4 Step 2: Determine the features of the stribution used to test the significance of the correlation coefficient. To test the significance of the correlation coefficient, we will use a t-distribution with 8 degrees of freedom. Part 3 of 4 Step 3: Find the p-value of the point estimate. = P([ vV 2v P(r| 2.18 V0.05 0.05 %3D p-value %3D

Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter3: Functions And Graphs
Section3.6: Quadratic Functions
Problem 38E
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x: 5, 5, 5, 2, 6, 5, 4, 3, 7, 3 y: 13, 13, 12, 12, 14, 17, 12, 12, 15, 7 Conduct a hypothesis test with a 5% level of significance to determine whether or not the operative time and the length of a patient's hospital stay are correlated. Step 1: State the null and alternative hypotheses. Ho:p =v H.:p # (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 with 8 degrees of freedom. Part 3 of 4 Step 3: Find the p-value of the point estimate. P( 2 2.18 P(r 2v 0.05 0.05 p-value Question Help: D Post to forum
Transcribed Image Text:x: 5, 5, 5, 2, 6, 5, 4, 3, 7, 3 y: 13, 13, 12, 12, 14, 17, 12, 12, 15, 7 Conduct a hypothesis test with a 5% level of significance to determine whether or not the operative time and the length of a patient's hospital stay are correlated. Step 1: State the null and alternative hypotheses. Ho:p =v H.:p # (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 with 8 degrees of freedom. Part 3 of 4 Step 3: Find the p-value of the point estimate. P( 2 2.18 P(r 2v 0.05 0.05 p-value Question Help: D Post to forum
Part 1 of 4 Does the length of a surgery patient's stay in the hospital depend on the length of time the operation took? The table below gives the operative time (in hours) and the length of the hospital stay (in days) for 10 patients. (Comma separated lists of the data are also provided below the table to ease in copying the data to R.) Operative Time (x) Length of Hospital Stay (y) 13 13 12 12 6. 14 5 17 4 12 3. 12 7 15 7 x: 5, 5, 5, 2, 6, 5, 4, 3, 7, 3 y: 13, 13, 12, 12, 14, 17, 12, 12, 15, 7 Conduct a hypothesis test with a 5% level of significance to determine whether or not the operative time and the length of a patient's hospital stay are correlated. Step 1: State the null and alternative hypotheses. Ha:p #v 0 v test.) (So we will be performing a two-tailed Part 2 of 4
Transcribed Image Text:Part 1 of 4 Does the length of a surgery patient's stay in the hospital depend on the length of time the operation took? The table below gives the operative time (in hours) and the length of the hospital stay (in days) for 10 patients. (Comma separated lists of the data are also provided below the table to ease in copying the data to R.) Operative Time (x) Length of Hospital Stay (y) 13 13 12 12 6. 14 5 17 4 12 3. 12 7 15 7 x: 5, 5, 5, 2, 6, 5, 4, 3, 7, 3 y: 13, 13, 12, 12, 14, 17, 12, 12, 15, 7 Conduct a hypothesis test with a 5% level of significance to determine whether or not the operative time and the length of a patient's hospital stay are correlated. Step 1: State the null and alternative hypotheses. Ha:p #v 0 v test.) (So we will be performing a two-tailed Part 2 of 4
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