Answer: = ( $52,474.75 , $69,225.25)
Therefore at 90% confidence interval = ( $52,474.75 , $69,225.25)
Explanation:
Confidence interval can be defined as a range of values so defined that there is a specified probability that the value of a parameter lies within it.
The confidence interval of a statistical data can be written as.
x+/-zr/√n
Given that;
Mean x = $60,850
Standard deviation r = $16,100.22
Number of samples n = 10
Confidence interval = 90%
z(at 90% confidence) = 1.645
Substituting the values we have;
60,850+/-1.645(16,100.22/√10)
60,850+/-1.645(5091.336602979)
60,850+/-8375.248711901
$60,850+/-8375.248711901+/- $8375.25
= ( $52474.75 , $69225.25)
Therefore at 90% confidence interval = ( $52474.75 , $69225.25)