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Category: Business and Industry
Date Submitted: 07/13/2011 10:13 AM
Running head: FINAL CONCLUSIONS MEMO PAPER
Final Conclusions Memo Paper
By Learning Team “A”
Barbara Bowser, Brenda Brown, Brandon McConnell,
Melissa Herman, and Yolanda Gales
RES/341 – University of Phoenix
June 13, 2011
Gary Saxena, Instructor
| |RES / 341 |
Memo
To: Gary Saxena, Instructor
From: Learning Team “A”
CC: File
Date: 6/13/2011
RE: FINAL CONCLUSIONS MEMO PAPER
Based upon the sample data provided from the “Wages and Wage Earners” data set Team A found that the confidence intervals are as follows: 27511.83 – 34155.10 (For all wages), 32877.20 – 40108.65 (For male wages), and 22010.21 – 26892.81 (For female wages). All confidence intervals were calculated at the 95% level. In attempting to find an accurate wage a confidence interval is useful because the true score is more likely to fall into the range than at the mean for the sample. First taking the standard deviation for each data set and dividing it by the square root of the sample size calculated the confidence intervals. The product of the previous calculation multiplied the 95% level of confidence z-score of 1.960, and the sum was subtracted and added to the mean. The number found when subtracting is the lower end of the confidence interval and the number found when adding is the upper end of the confidence interval.
“Many decisions can be handled either as hypothesis tests or using confidence intervals. The confidence interval has the appeal of providing a graphic feeling for the location of the hypothesized mean within the confidence interval,” which was 95% for the gender wage disparities study (Doane & Seward, 2007, p. 342). The confidence intervals calculated from the data identified in the week four research fully supports Team “A’s” theory that pay discrepancies exist between genders. To expand on the theory, Team “A”...