In: Statistics and Probability
Question 2
A study of a large production facility was undertaken to determine
the average time required to assemble a microchip. A random sample
of 15 assemblies produced a sample mean of 12.2 minutes with a
standard deviation of 2.4 minutes. Assuming that the assembly times
are normally distributed, construct a 95% confidence interval to
estimate the population mean assembly time. Use the following
template to answer the question.
I. Parameter of interest: …………………………………….
II. Point estimator: ………………..
III. Sampling distribution of the point estimator: ………………..
IV. Specify the formula for the 95% confidence interval estimator
for the parameter: …………………………………………………………….
V. Perform the necessary calculations and write down the lower and
upper limits of the confidence interval:
VI. Interpret the calculated confidence interval.
1) population mean assembly time
2) Point estimator: sample mean of 12.2 minutes
III.Standard Error , SE = s/√n =
2.4000 / √ 15 =
0.6197
Sampling distribution of the point estimator: normally distributed , N ~(12.2 , 0.6197)
IV. confidence interval is x̅ ± critical value*s/√n
Level of Significance , α =
0.05
degree of freedom= DF=n-1= 14
't value=' tα/2= 2.145 [Excel
formula =t.inv(α/2,df) ]
Standard Error , SE = s/√n = 2.4000 /
√ 15 = 0.6197
margin of error , E=t*SE = 2.1448
* 0.6197 = 1.3291
confidence interval is
Interval Lower Limit = x̅ - E = 12.20
- 1.329076 = 10.8709
Interval Upper Limit = x̅ + E = 12.20
- 1.329076 = 13.5291
95% confidence interval is (
10.87 < µ < 13.53
)
VI) there is 95% confidence that population mean assembly time lies within confidence interval