In a study of the effectiveness of a fabric device that acts like a support stocking for a weak or damaged heart, 110 people who consented to treatment were assigned at random to either a standard treatment consisting of drugs or the experimental treatment that consisted of drugs plus surgery to install the stocking. After two years, 45% of the 60 patients receiving the stocking had improved and 36% of the patients receiving the standard treatment had improved. (Use a statistical computer package to calculate the P-value. Use pexperimental − pstandard. Round your test statistic to two decimal places and your P-value to four decimal places.)
z =
P =
As we are testing here the effectiveness of a fabric device that acts like a support stocking for a weak or damaged heart, therefore the null and the alternative hypothesis here are given as:
Now the sample proportions here are given as:
p1 = 0.45, p2 = 0.36
The pooled proportion is first computed as:
The standard error now is computed here as:
Now the test statistic here is computed as:
Therefore 0.96 is the test statistic value here.
The p-value here is computed from the standard normal tables as:
p = P(Z > 0.96) = 0.1695
Therefore 0.1695 is the required p-value here.
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