A hospital reported that the 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 44 of 93 patients with extensive burns died. Use a 1% level of significance to test the claim that the mortality rate has dropped. A) What is the value of the sample test statistic? (Round your answer to two decimal places.)B) what is the P valueC) Will you reject or fail to reject the null hypothesis

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Asked Jul 21, 2019
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A hospital reported that the 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 44 of 93 patients with extensive burns died. Use a 1% level of significance to test the claim that the mortality rate has dropped. 

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

B) what is the P value

C) Will you reject or fail to reject the null hypothesis

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Expert Answer

Step 1

The provided information are:

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Hypothesised proportion(p,) =0.60 Sample size (n) 93 Sample proportion of patients died due to extensive burns after using new treatment is, 44 p =-=0.47 93 The null and alternative hypotheses are: Ho p 0.60 H p0.60 a The test is left sided.

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Step 2

A)

The test statistic is,

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р-р. P. (1-Р.) п 0.47-0.60 0.60x (1-0.60) 93 -2.56

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Step 3

B)

The P-value for the above lef...

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P-value P(Z< P(Z <-2.56) = |0.0052| (using z-table)

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