normal death rate for patients with extensive burns (more than 40% of skin area) has been significantly reduced by the use of new fluid plasma compresses. Before the new treatment, the mortality rate for extensive burn patients was about 60%. Using the new compresses, the hospital found that only 41 of 89 patients with extensive burns died. Use a 1% level of significance to test the claim that the mortality rate has dropped since using the new treatment. What are we testing in this problem? A. single mean b. single proportion What is the level of significance? State the null and alternate hypotheses. H0: ? ≤ 0.6; H1: ? > 0.6 H0: ? ≥ 0.6; H1: ? < 0.6 H0: p ≥ 0.6; H1: p < 0.6 H0: p = 0.6; H1: p ≠ 0.6 H0: p ≤ 0.6; H1: p > 0.6 H0: ? = 0.6; H1: ? ≠ 0.6 What sampling distribution will you use? The standard normal or The Student's t. What is the value of the sample test statistic? (Round your answer to two decimal places.) Estimate the P-value. P-value > 0.250 0.125 < P-value < 0.250 0.050 < P-value < 0.125 0.025 < P-value < 0.050 0.005 < P-value < 0.025 P-value < 0.005 Will you reject or fail to reject the null hypothesis? Are the data statistically significant at level ?? A.At the ? = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant. b.At the ? = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant. C. At the ? = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant. d.At the ? = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant. Interpret your conclusion in the context of the application. A.There is sufficient evidence at the 0.01 level to conclude that the mortality rate has dropped. b.There is insufficient evidence at the 0.01 level to conclude that the mortality rate has dropped.

normal death rate for patients with extensive burns (more than 40% of skin area) has been significantly reduced by the use of new fluid plasma compresses. Before the new treatment, the mortality rate for extensive burn patients was about 60%. Using the new compresses, the hospital found that only 41 of 89 patients with extensive burns died. Use a 1% level of significance to test the claim that the mortality rate has dropped since using the new treatment. What are we testing in this problem? A. single mean b. single proportion What is the level of significance? State the null and alternate hypotheses. H0: ? ≤ 0.6; H1: ? > 0.6 H0: ? ≥ 0.6; H1: ? < 0.6 H0: p ≥ 0.6; H1: p < 0.6 H0: p = 0.6; H1: p ≠ 0.6 H0: p ≤ 0.6; H1: p > 0.6 H0: ? = 0.6; H1: ? ≠ 0.6 What sampling distribution will you use? The standard normal or The Student's t. What is the value of the sample test statistic? (Round your answer to two decimal places.) Estimate the P-value. P-value > 0.250 0.125 < P-value < 0.250 0.050 < P-value < 0.125 0.025 < P-value < 0.050 0.005 < P-value < 0.025 P-value < 0.005 Will you reject or fail to reject the null hypothesis? Are the data statistically significant at level ?? A.At the ? = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant. b.At the ? = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant. C. At the ? = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant. d.At the ? = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant. Interpret your conclusion in the context of the application. A.There is sufficient evidence at the 0.01 level to conclude that the mortality rate has dropped. b.There is insufficient evidence at the 0.01 level to conclude that the mortality rate has dropped.

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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Related questions

Question

100%

A. single mean b. single proportion

What is the level of significance?

State the null and alternate hypotheses.

H₀: ? ≤ 0.6; H₁: ? > 0.6

H₀: ? ≥ 0.6; H₁: ? < 0.6

H₀: p ≥ 0.6; H₁: p < 0.6

H₀: p = 0.6; H₁: p ≠ 0.6

H₀: p ≤ 0.6; H₁: p > 0.6

H₀: ? = 0.6; H₁: ? ≠ 0.6

What sampling distribution will you use?

The standard normal or The Student's t.

What is the value of the sample test statistic? (Round your answer to two decimal places.)

Estimate the P-value.

P-value > 0.250

0.125 < P-value < 0.250

0.050 < P-value < 0.125

0.025 < P-value < 0.050

0.005 < P-value < 0.025

P-value < 0.005

Will you reject or fail to reject the null hypothesis? Are the data statistically significant at level ??

A.At the ? = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant.

b.At the ? = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant.

C. At the ? = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant.

d.At the ? = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.

Interpret your conclusion in the context of the application.

A.There is sufficient evidence at the 0.01 level to conclude that the mortality rate has dropped.

b.There is insufficient evidence at the 0.01 level to conclude that the mortality rate has dropped.

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