Given : n1=332 , x1=250 , n2=428 , x2=87
The sample proportions are ,
p1=x1/n1=250/332
=0.7530
p2=x2/n2=87/428=0.2033
The pooled estimate is ,
Q=1-P=0.5566
(a) The 99% confidence interval for p1-p2 is ,
Lower limit=0.4560
Upper limit=0.6434
(b) The interval contains numbers that are all positive
Here , the interval does not contains p1-p2=0
Therefore , we can conclude that the treatment with plasma compresses seem to make a difference in the proportion of patients with visible scars from minor burns
Because the interval contains only positive numbers , we can say that there is a higher proportion of patients with no visible scars among those who received the treatment .
At Community Hospital, the burn center is experimenting with a new plasma compress treatment. A random...
At Community Hospital, the burn center is experimenting with a new plasma compress treatment. A random sample of n1 = 318 patients with minor burns received the plasma compress treatment. Of these patients, it was found that 266 had no visible scars after treatment. Another random sample of n2 = 426 patients with minor burns received no plasma compress treatment. For this group, it was found that 91 had no visible scars after treatment. Let p1 be the population proportion...
At Community Hospital, the burn center is experimenting with a new plasma compress treatment. A random sample of n1 = 302 patients with minor burns received the plasma compress treatment. Of these patients, it was found that 256 had no visible scars after treatment. Another random sample of n2 = 416 patients with minor burns received no plasma compress treatment. For this group, it was found that 95 had no visible scars after treatment. Let p1 be the population proportion...
Most married couples have two or three personality preferences in common. A random sample of 379 married couples found that 134 had three preferences in common. Another random sample of 573 couples showed that 215 had two personality preferences in common. Let Pi be the population proportion of all married couples who have three personality preferences in common. Let p2 be the population proportion of all married couples who have two personality preferences in common. (a) Find a 90% confidence...
Most married couples have two or three personality preferences in common. A random sample of 366 married couples found that 138 had three preferences in common. Another random sample of 584 couples showed that 216 had two personality preferences in common. Let p1 be the population proportion of all married couples who have three personality preferences in common. Let p2 be the population proportion of all married couples who have two personality preferences in common. (a) Find a 99% confidence...
Most married couples have two or three personality preferences in common. A random sample of 388 married couples found that 120 had three preferences in common. Another random sample of 572 couples showed that 240 had two personality preferences in common. Let p1 be the population proportion of all married couples who have three personality preferences in common. Let p2 be the population proportion of all married couples who have two personality preferences in common. (a) Find a 95% confidence...
A study considered the question, 'Are you a registered voter?" Accuracy of response was confirmed by a check of city voting records. Two methods of survey were used: a face-to-face interview and a telephone interview. A random sample of 85 people were asked the voter registration question face to face. Of those sampled, seventy-six respondents gave accurate answers (as verified by city records). Another random sample of 90 people were asked the same question during a telephone interview. Of those...
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You work for a pharmaceutical company that is testing a new cholesterol drug. The proportion of patients on the previous drug who had a positive treatment was 0.375. You want to see if the new drug is more effective than the previous drug. You conduct a sample of 113 patients on the new drug and find that 76 have had a positive treatment effect. The 95% confidence interval is ( 0.586 , 0.7591 ). What is the best conclusion you...
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