Related Topics:

Statistics Case Study 1
Essay Preview: Statistics Case Study 1
Report this essay
Statistics
Case Study-1
Weeks Employed
Weeks Employed
37.75
18.6875
Standard Error
2.974195
Standard Error
2.188452
Median
Median
18.5
Standard Deviation
11.89678
Standard Deviation
8.753809
Sample Variance
141.5333
Sample Variance
76.62917
Kurtosis
-1.17143
Kurtosis
-0.21626
Skewness
0.337402
Skewness
0.522601
Range
Range
Minimum
Minimum
Maximum
Maximum
Count
Count
Confidence Level(99.0%)
8.764138
Confidence Level(99.0%)
6.44877
b. 99% confidence interval estimate for mean age of newly hired employees;
37.75 ÐÐŽV 8.76 = 28.99
37.75 + 8.76 = 46.51
c. Hypothesis:
Decision Rule: Reject Ho if t > t-critical
Do not reject Ho if t < t-critical t-critical = t0.01,15 =2.602 0.771 < 2.602 Therefore, at a 99% Confidence Level the Null Hypothesis can not be rejected and we can not state that RiversideÐÐŽÐ¦s mean duration of employment weeks is any greater than the mean duration of employment weeks within the rest of California. d. Is there a relationship between the age of a newly employed individual and the number of weeks of employment? By using a scatter plot and plotting the number of weeks employed in respect to the ages of the workers, you can see that the points are distributed along a straight line. The number of weeks employed increase positively as the age of the worker increases. Therefore it is safe to say that there is a positive correlation between the ages of newly employed workers and the number of weeks they are employed. Textbook Exercise 7.6, The Trash Bag Case Text Problem 7.6: mean = 50.575 std dev. = 1.6438 95% = 0.509408783 50.06559122 51.08440878

## Cite this page

Confidence Level And Age Weeks. (April 16, 2021). Retrieved from https://www.freeessays.education/confidence-level-and-ageweeks-essay/