Always get overwhelmed by the amount of material when covered at a comprehensive level. Attached is the study material of what to be prepared to cover at the conclusion of this course. I have worked through them but get stumped at several points. Can you provide a systematic approach to these problems and provide a reference to refer to make sure my solutions are accurate. It would helpful if you can explain why you did what you did, as this is just a helpful of study and questions may appear differently at the actual conclusion of the course.

GE fluorescent bulbs have a useful lifetime which is normally distributed. We wish to estimate mean lifetime. A random sample of 20 bulbs yields the following results: sample mean= 2,360 hours and a sample standard deviation of 365 hours.
Refer to Table 8B on the Handout for MegaStat output.

Part A
Analyze the output above to determine the 95% confidence interval for the mean lifetime of GE fluorescent bulbs. Interpret this confidence interval.

Part B
Suppose a GE executive says. "Our florescent bulbs have an average expected lifetime of 2500 hours." Could the executive be correct? Explain.

Step by step method for testing the hypothesis and construction confidence interval for mean are discussed here. Excel template for each problem is also included. This template can be used to obtain the answers of similar problems.

Compute a 95% confidenceintervalfor the population mean, based on the sample 1.5, 1.54, 1.55, 0.09, 0.08, 1.55, 0.07, 0.99, 0.98, 1.12, 1.13, 1.00, 1.56, and 1.53. Change the last number from 1.53 to 50 and recalculate to the confidenceinterval. Using the results, describe the effect of an outlier or extreme value on the conf

Assume that in a hypothesis test with null hypothesis = 13.0 at 0.05, that a value of 11.0 for the sample mean results in the null hypothesis not being rejected. That corresponds to a confidenceinterval result of
A. The 95% confidenceintervalfor the mean does not contain the value 13.0
B. The 95% confidenceintervalfor

Assume that in a hypothesis test with null hypothesis H 0: mu = 14.0 at alpha = 0.05, that a value of 13.0 for the sample mean results in the null hypothesis being rejected. That corresponds to a confidenceinterval result of:
a) the 95% confidenceintervalfor the mean contains the value 14.0
b) the 95% confidenceinterval

Which of the following is not needed to be known to calculate a confidenceinterval?
a. standard deviation
b. sample size
c. mean
d. degree of confidence

Please help with the following problem.
Using the data on the table below, are there any correlations between population changes for the areas listed.
The following is a list of acceptable tests:
regression line and equation; correlation
one-sample t-test
one-sample t confidenceinterval
matched-pairs t-test
two-sa

Using the attached Excel file, calculate both a confidenceintervalfor a mean (do not worry about the rounding) and a 1-sample t-test that the mean age is less than 62.
What is found? What is the CI and can we reject or accept the null or alternative hypotheses?

Try out some of your own ideas for analyzing
this data. Use one of the following techniques:
regression line and equation; correlation
one-sample t-test
one-sample t confidenceinterval
matched-pairs t-test
two-sample t-test
two-sample t confidenceinterval
F-testfor variances
ANOVA
one-sample z testfor proportions

A random sample of light bulbs had a meanlife of xbar = 587 hours. the standard deviation of the lifetime of all such light bulbs is of sigma = 36 hours
#1 construct a 90% confidenceinterval estimate of the meanlife, m, of all light bulbs of this type.
It was expected that the meanlifetime of the bulbs was 600 hours.

A company has 1.100 inventory items. In a sample of 120 items, the historical cost of each item was compared with the audited value, and 10 items differed in their historical costs and audited values. These values are shown below. Construct a 99% confidenceinterval estimate of total population difference in the historical cost