PLEASE HELP ASAP! MENTORING AMONG MEN AND WOMEN STATISTICAL GUIDE Note that the

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PLEASE HELP ASAP!

MENTORING AMONG MEN AND WOMEN STATISTICAL GUIDE Note that the symbol for the mean in the excerpt is M Some of the variables in this report are dichotomous (i.e, have only two categories each such as "single or "married"). These are treated here as quantitative data by assigning a number to each category If you go out about two standard deviation units on both sides of the mean in a normal distribution, you capture approximately 95 percent of the cases. (The precise rule for capturing 95 percent of the cases is given in the next exercise.) If you go out three standard deviation units on both sides of the mean, you capture 99.7 percent of the cases. EXCERPT FROM THE RESEARCH ARTICLE The data for this field study were collected with a mail survey of business-school graduates from two large state universities in the United States. We used alumni records to obtain the addresses of graduates from bachelor's and master's degree programs. A survey questionnaire was sent to a stratified random sample of 1,000 business school graduates. Table 2Means and Standard Deviations for Analysis Variables for Men and Women Women (n147) Men (n# 173) Variable Degree (bachelor's 0, master's # 1) Previous experience (years) Years since graduation Enployment interruptions (months) Organization size 0.52 2.29 7.37 2.75 5.09 0.17 4.13 SD 0.50 3.39 2.59 5.67 2.34 0.38 ?. 95 0.64 2.24 7.96 1.80 5.16 0.28 4.10 0.73 3.52 SD 0.48 3.54 2.66 4.11 2.31 0.45 0.81 0.44 2.24 industry (service # 0, manufacturing- 1) Socioeconomic status Marital status (single o, married 1)0.600.49 3.32 Promotions Total income (s) Pay-level satisfaction Benefits satisfaction 57,563.08 33,887.65 45,335.67 21,719.87 0.94 0.99 3.43 3.69 3.39 3.70 . 0.92 0.92 Coded as follows: 1-50 employees (1); 50-99 employees (2); 100-499 enployees (3); 500-999 employees (4) 1,000-4,999 employees (5); 5,000-9,999 employees (6 10,000-49,999 esployees (7); and 50,000 or more employees (8). Coded as underclass (1); working poor (2); working class (3); middle class (4); upper niddle class (5); and upper class (6).

Explanation / Answer

1. On the average, the income for men exceeded the income for women by 57563.08 - 45335.67 = 12227.41 dollars. Because mean income value for men is 57563.08 dollars and mean income value for women is 45335.67. We take difference between the two to get the answer.

2. Income for men was more variable than that for women because as seen from the table, standard deviation of total income for men is 33887.65 dollars, which is greater than the standard deviation of total income for women which is 21719.87 dollars. Standard deviation is a measure of variability in the data.

3. There was more spread in the months of employment interruption for women than men. Because as seen from the table, standard deviation of the variable "Employment interruption (months)" is higher (5.67) in women than 4.11 in men.

4. Conculsion (1) : It is expected to observe higher variability in the months of employment interruption as we go from one woman to another woman as compared to as we go from one man to another man.

Conclusion (2) : Men are expected to show much more uniformity in their employment interrution duration than women.

5. For both men and women, we observe that the average socioeconomic status are 4.10 and 4.13 respectively. Both are much closer to 4 than 5. Therefore, as per the prescribed coding for the variable "socioeconomic status", the average socioeconomic status for both men and women is closer to "middle class" than "upper middle class" because code for "middle class" is 4, whereas for upper middle class, it is 5.

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