A female is socializing after work with some co-workers. At dinner, a couple of her male co-workers start discussing salary and talking about other job offers with more money. Her male counterparts were currently making at least $5,000 more a year than her. She suddenly understands that she has been making less, with no immediately discernible reason, for at least the last five years. This would reflect gender discrimination but could be hindered by the statute of limitations. How should the female handle this type of situation? Looking for different views and ideas on this type of situation.© BrainMass Inc. brainmass.com October 25, 2018, 8:57 am ad1c9bdddf
The first step that she needs to take is to discuss her concerns with management. As per the scenario, there is "no immediately discernible reason" why the pay amounts are different. This needs to be verified. Unless she knows the exact nature and all responsibilities of each of the involved colleagues, then she really can't positively state that their jobs are comparable, with minimal differences. The EEOC states that the jobs don't have to be exact, but they do have to be "substantially equal." Therefore, she first needs to show that the jobs are, in fact, substantially equal. This can now go one of two main ways...
1. She talks with management and determines that the jobs are not ...
This solution analyzes the gender pay difference scenario listed. Each pertinent legal issue is also discussed.
Statistics - Linear Regression Discussion Questions
1. Under what conditions would you use correlation and/or regression analysis? Include comments on the type of data needed and a work-related suggestion for their use.
2. During the years 1790 to 1820, the correlation between the number of churches built in New England and the barrels of Rum imported into the region was a perfect 1.0. What does this tell you - that church building causes rum drinking, that rum drinking causes church building, or something else? If something else, what?
3. Political science question (from "How to Think About Statistics" 5th edition by John L. Phillips, Jr. W. H. Freeman and Company, New York 1996): Researchers have frequently asked whether there is any relationship between the amount of domestic conflict within a given country (X) and the amount of foreign conflict which that country initiates (Y). Assume you have constructed a conflict scale and collected data for 50 countries on the values of both X and Y. What statistic will answer your question?
1. I used multiple regression analysis to examine a company's pay practices with respect to possible sex-based salary discrimination. How would you do this? What steps would you take? What variables would you want to consider?
2. In the mid 60's, the Department of Education had a study performed on educational achievements of students. The researcher entered the variables into the equation according to a time-based theory of the impact of variables. This means he entered the variables in the order a person would run across them in real time. So, the first two variables entered were race and sex. The study concluded that the educational system discriminated among students on the basis of race. As a student of statistics, what comments might you make about the study's entering of variables?
3. One issue that many companies are now facing is in determining what the best production practices are for their products. This often involves examining not only the quality and specs of incoming raw materials but also the process variables such as how long to heat something, what temperature to use, etc. If you were charged with maximizing the effectiveness of a manufacturing process, how might you go about the task? (Assume you have all of the needed measurements on the different variables involved in the process.)View Full Posting Details