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a. Report the two sample means, and state which group had the higher sample mean systolic blood pressure. Refer to the technology output in accompanying figure (A). b. Refer to the technology output given in figure (A) to test the hypothesis that the mean systolic blood pressures for men and women are not equal, using a significance level of 0.05. Although the distribution of blood p in the population are right-skewed, the sample size is large enough to use t-tests. Choose from figures (B). (C), and (D) for your t- and p-values. A Click the icon to view the technology outputs. Technology output H, H = Pm O D. Ho: Hu = Hm H, Hy> Hm O E. Hg: Hu= Hm Hi Hy # Hm (A) N Mean StDev Two-sample T for BPSYS SE Mean Gender Female Male Find the test statistic for this test. 402 114.7 420 116.1 222 17.7 1.1 0.9 t= Type an integer or a decimal. Do not round.) Difference = u (Female) - u (Male) Estimate for difference: - 1.4 95% CI for difference: (-4.16,1.36) Find the p-value for this test. p-value =O Type an integer or a decimal. Do not round.) (B) What is the conclusion for this test? B: T-Test of difference = 0 (vs #): T-Value = - 1.00 P-value = 0.319 O A. Reject H,. Men have a significantly different mean systolic blood pressure from women. (C) C: T-Test of difference = 0 (vs >): T-Value = - 1.00 P-value = 0.840 O B. Do not reject H,. Men do not have a significantly different mean systolic blood pressure from women. OC. Do not reject Ho. Men have a significantly different mean systolic blood pressure from women. (D) D: T-Test of difference = 0 (vs <): T-Value = - 1.00 P-value = 0.160 O D. Reject H,. Men do not have a significantly different mean systolic blood pressure from women.

a. Report the two sample means, and state which group had the higher sample mean systolic blood pressure. Refer to the technology output in accompanying figure (A). b. Refer to the technology output given in figure (A) to test the hypothesis that the mean systolic blood pressures for men and women are not equal, using a significance level of 0.05. Although the distribution of blood p in the population are right-skewed, the sample size is large enough to use t-tests. Choose from figures (B). (C), and (D) for your t- and p-values. A Click the icon to view the technology outputs. Technology output H, H = Pm O D. Ho: Hu = Hm H, Hy> Hm O E. Hg: Hu= Hm Hi Hy # Hm (A) N Mean StDev Two-sample T for BPSYS SE Mean Gender Female Male Find the test statistic for this test. 402 114.7 420 116.1 222 17.7 1.1 0.9 t= Type an integer or a decimal. Do not round.) Difference = u (Female) - u (Male) Estimate for difference: - 1.4 95% CI for difference: (-4.16,1.36) Find the p-value for this test. p-value =O Type an integer or a decimal. Do not round.) (B) What is the conclusion for this test? B: T-Test of difference = 0 (vs #): T-Value = - 1.00 P-value = 0.319 O A. Reject H,. Men have a significantly different mean systolic blood pressure from women. (C) C: T-Test of difference = 0 (vs >): T-Value = - 1.00 P-value = 0.840 O B. Do not reject H,. Men do not have a significantly different mean systolic blood pressure from women. OC. Do not reject Ho. Men have a significantly different mean systolic blood pressure from women. (D) D: T-Test of difference = 0 (vs <): T-Value = - 1.00 P-value = 0.160 O D. Reject H,. Men do not have a significantly different mean systolic blood pressure from women.

MATLAB: An Introduction with Applications
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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a. Report the two sample means, and state which group had the higher sample mean systolic blood pressure. Refer to the technology output in accompanying figure (A). b. Refer to the technology output given in figure (A) to test the hypothesis that the mean systolic blood pressures for men and women are not equal, using a significance level of 0.05. Although the distribution of blood pressures in the population are right-skewed, the sample size is large enough to use t-tests. Choose from figures (B), (C), and (D) for your t- and p-values. Click the icon to view the technology outputs. Technology output Ha: Hw =Hm H Hw <Hm O E. Ho: Hw = Hm H: Hw #Hm O D. Ho: Hw = Hm (A) H: Hw > Pm Two-sample T for BPSYS SE Mean Mean StDev 114.7 22.2 116.1 17.7 Gender N Find the test statistic for this test. Female 402 1.1 Male 420 0.9 t= (Type an integer or a decimal. Do not round,) Difference = u (Female)-u (Male) Find the p-value for this test. Estimate for difference: - 1.4 95% Cl for difference: (- 4.16,1.36) p-value =(Type an integer or a decimal. Do not round.) (B) B: T-Test of difference = 0 (vs #): T-Value = - 1.00 P-value = 0.319 What is the conclusion for this test? O A. Reject H, Men have a significantly different mean systolic blood pressure from women. (C) C: T-Test of difference = 0 (vs >): T-Value = - 1.00 P-value = 0.840 O B. Do not reject H. Men do not have a significantly different mean systolic blood pressure from women. O C. Do not reject H,. Men have a significantly different mean systolic blood pressure from women. (D) D: T-Test of difference = 0 (vs <): T-Value = - 1.00 P-value = 0.160 D. Reject H,. Men do not have a significantly different mean systolic blood pressure from women.
Transcribed Image Text:a. Report the two sample means, and state which group had the higher sample mean systolic blood pressure. Refer to the technology output in accompanying figure (A). b. Refer to the technology output given in figure (A) to test the hypothesis that the mean systolic blood pressures for men and women are not equal, using a significance level of 0.05. Although the distribution of blood pressures in the population are right-skewed, the sample size is large enough to use t-tests. Choose from figures (B), (C), and (D) for your t- and p-values. Click the icon to view the technology outputs. Technology output Ha: Hw =Hm H Hw <Hm O E. Ho: Hw = Hm H: Hw #Hm O D. Ho: Hw = Hm (A) H: Hw > Pm Two-sample T for BPSYS SE Mean Mean StDev 114.7 22.2 116.1 17.7 Gender N Find the test statistic for this test. Female 402 1.1 Male 420 0.9 t= (Type an integer or a decimal. Do not round,) Difference = u (Female)-u (Male) Find the p-value for this test. Estimate for difference: - 1.4 95% Cl for difference: (- 4.16,1.36) p-value =(Type an integer or a decimal. Do not round.) (B) B: T-Test of difference = 0 (vs #): T-Value = - 1.00 P-value = 0.319 What is the conclusion for this test? O A. Reject H, Men have a significantly different mean systolic blood pressure from women. (C) C: T-Test of difference = 0 (vs >): T-Value = - 1.00 P-value = 0.840 O B. Do not reject H. Men do not have a significantly different mean systolic blood pressure from women. O C. Do not reject H,. Men have a significantly different mean systolic blood pressure from women. (D) D: T-Test of difference = 0 (vs <): T-Value = - 1.00 P-value = 0.160 D. Reject H,. Men do not have a significantly different mean systolic blood pressure from women.
a. Report the two sample means, and state which group had the higher sample mean systolic blood pressure. Refer to the technology output in accompanying figure (A). b. Refer to the technology output given in figure (A) to test the hypothesis that the mean systolic blood pressures for men and women are not equal, using a significance level of 0.05. Although the distribution of blood pressures in the population are right-skewed, the sample size is large enough to use t-tests. Choose from figures (B), (C), and (D) for your t- and p-values. Click the icon to view the technology outputs. a. The sample mean for the women was (Type an integer or a decimal. Do not round,) The sample mean for the men was (Type an integer or a decimal. Do not round.) Determine which group had the higher sample mean systolic blood pressure. The had the higher sample mean systolic blood pressure. b. Determine the hypotheses for this test. Let uy, be the population mean systolic blood pressure for women, and let Hm be the population mean systolic blood pressure for men. Choose the correct answer below. O A. Ho: Hw <Pm O B. Ho: Hw = Hm H3: Hw <Hm O C. Hg: Hw > Hm Ha: Hw = Hm H: Hw = Hm OF. Ho: Hw * Hm H3: Hw = Hm O D. Ho: Hw = Pm O E. Ho: Hw = Hm H: Hw # Hm H3: Hw > Hm Find the test statistic for this test. t= (Type an integer or a decimal. Do not round.)
Transcribed Image Text:a. Report the two sample means, and state which group had the higher sample mean systolic blood pressure. Refer to the technology output in accompanying figure (A). b. Refer to the technology output given in figure (A) to test the hypothesis that the mean systolic blood pressures for men and women are not equal, using a significance level of 0.05. Although the distribution of blood pressures in the population are right-skewed, the sample size is large enough to use t-tests. Choose from figures (B), (C), and (D) for your t- and p-values. Click the icon to view the technology outputs. a. The sample mean for the women was (Type an integer or a decimal. Do not round,) The sample mean for the men was (Type an integer or a decimal. Do not round.) Determine which group had the higher sample mean systolic blood pressure. The had the higher sample mean systolic blood pressure. b. Determine the hypotheses for this test. Let uy, be the population mean systolic blood pressure for women, and let Hm be the population mean systolic blood pressure for men. Choose the correct answer below. O A. Ho: Hw <Pm O B. Ho: Hw = Hm H3: Hw <Hm O C. Hg: Hw > Hm Ha: Hw = Hm H: Hw = Hm OF. Ho: Hw * Hm H3: Hw = Hm O D. Ho: Hw = Pm O E. Ho: Hw = Hm H: Hw # Hm H3: Hw > Hm Find the test statistic for this test. t= (Type an integer or a decimal. Do not round.)
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