Question

value of the -variable Remaining time: 152:54 min:sec) Problem 2 (1 point) Alzheimers disease is a progressive disease of th
(d) Copy and paste the following code into R Studio to bootstrap the sample librarymosaic) RNOkind sample.kind=Rejection);
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Answer #1

Solution-A:

Rcode to get the 86% confidence interval

x <- c(13,20,13,23,21,26,24,17,17,26,13,21,22,10,
26,14,23,27,10,12,24,11,15,22,25,19,21,12)
t.test(x,conf.level = 0.86)

Output:

   One Sample t-test

data: x
t = 17.854, df = 27, p-value < 2.2e-16
alternative hypothesis: true mean is not equal to 0
86 percent confidence interval:
17.21853 20.42432
sample estimates:
mean of x
18.82143

Intreretation:

86 percent confidence interval:
17.21853 20.42432

we are 86% confidenct that the true mean quality of studies on the treatment of Alzmeirs disease lies in between

17.21853 and 20.42432

ANSWER:

17.21853 <mu<20.42432

Solution-b:

we are 86% confidenct that the true mean quality of studies on the treatment of Alzmeirs disease lies in between

17.21853 and 20.42432 on the Wong scale

Solution-c:

if we reduce to say 70

70 percent confidence interval:
17.70747 19.93539

ANSWER:

confidence interval would become narower

Solutiond:

Rcode:

library(mosaic)
RNGkind(sample.kind = "Rejection")
set.seed(6370)
B=do(1000)*mean(resample(c(13,20,13,23,21,26,24,17,17,26,13,21,22,10,
26,14,23,27,10,12,24,11,15,22,25,19,21,12))
t.test(B,conf.level = 0.86)

Output:


One Sample t-test

data: B
t = 1266.4, df = 999, p-value < 2.2e-16
alternative hypothesis: true mean is not equal to 0
86 percent confidence interval:
11.84407 11.87173
sample estimates:
mean of x
11.8579

ANSWER:

86 percent confidence interval:
11.84407 11.87173

11.84407<mu< 11.87173

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