Please don't hesitate to give a "thumbs up" for the answer in case you're satisfied with the answer
dbar = -4.6
sd = .25
n = 16
The 99% confidence interval has a t statistic of 2.95 for df =
n-1=15
So, the confidence interval is dbar +/- t*s/sqrt(n)
= -4.6 +/- 2.95*(.25/sqrt(16))
= -4.78 to -4.42
It means that " the true paired difference in mean values lies between -4.78 and -4.42 with a confidence of 99%
The 90% confidence interval has a t statistic of 2.95 for df =
n-1=15
So, the confidence interval is dbar +/- t*s/sqrt(n)
= -4.6 +/- 1.75*(.25/sqrt(16))
= -4.71 to -4.49
It means that " the true paired difference in mean values lies between -4.71 and -4.49 with a confidence of 90%
10-38. You are given the following results of a paired difference test: d =-4.6 d0.25 n=16...
** Please with full steps and explanation **
You are given the following results of a paired-difference test: a = -4.6 Sa = 0.25 n = 16 Construct a 90% confidence interval estimate for the paired difference in mean values.
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