10 May QuestionBUS 308 Week 1DQ 1Language.Numbers and measurements are the language of business.. Organizations look at results, expenses, quality levels, efficiencies, time
Question
BUS 308 Week 1
DQ 1
Language.
Numbers and measurements are the language of business.. Organizations look at results, expenses, quality levels, efficiencies, time, costs, etc. What measures does your department keep track of ? How are the measurescollected, and how are they summarized/described? How are they used in making decisions? (Note: If you do not have a job where measures are available to you, ask someone you know for some examples or conduct outside research on an interest of yours.)
Guided Response: Review several of your classmates’ posts. Respond to at least two of your classmates by providing recommendations for the measures being discussed.
DQ 2
Levels.
Managers and professionals often pay more attention to the levels of their measures (means, sums, etc.) than to the variation in the data (the dispersion or the probability patterns/distributions that describe the data). For the measures you identified in Discussion 1, why must dispersion be considered to truly understand what the data is telling us about what we measure/track? How can we make decisions about outcomes and results if we do not understand the consistency (variation) of the data? Does looking at the variation in the data give us a different understanding of results?
Guided Response: Review several of your classmates’ posts. Respond to at least two classmates by commenting on the situations that are being illustrated.
Week 1 Assignment
Problem Set Week One. All statistical calculations will use the Employee Salary Data set (in Appendix
section).
1. Using the Excel Analysis ToolPak function Descriptive Statistics, generate descriptive statistics for the salary data. Which variables does this function not work properly for, even though we have some generated results?
2. Sort the data by either the variable G or GEN1 (into males and females) and find the mean and standard deviation for each gender for the following variables: SAL, COMPA, AGE, SR, and RAISE. Use Descriptive for one gender and the fx functions (AVERAGE and STDEV) for the other.
3. What is the probability distribution table for:
a. A randomly selected person being a male in a specific grade?
b. A randomly selected person being in a specific grade?
4. Find:
a. The z score for each male salary, based on the male salary distribution.
b. The z score for each female salary, based on the female salary distribution.
5. Repeat question 4 for COMPA for each gender.
6. What conclusions can you make about the issue of male and female pay equality? Are all of the results consistent? If not, why not?
For additional assistance with these calculations reference the Recommended Resources for Week One.
Week 2
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