A) By using R software we can construct the normal probability plot of the data set.
First, enter data into R software.
R codes and output.
data<-c(1.8,2.1,2.3,2.5,2.6,3.2,3.4,3.7,3.9,4)
qqnorm(data)
Yes, the GPA’s appear to be normally distributed.
B)
Sample size = n = 10
Degrees of freedom = n - 1 = 10 - 1 = 9
Level of significance = 0.10
Critical value = 1.83 ( Using t table)
C) We have to construct a 90% confidence interval for the mean GPA of the professors.
Sample mean = = 2.95
Standard deviation = s = 0.7906
Formula is
Here E is a margin of error.
So confidence interval is ( 2.95 - 0.4575 , 2.95 + 0.4575) = > ( 2.49 , 3.41)
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