BUS 308 Full Week 1

BUS 308 ASSIGNMENT WEEK 1
Problem Set Week One

All statistical calculations will use the Employee Salary Data Set.

1. For assistance with these calculations, see the Recommended Resources for Week One.Measurement issues. Data, even numerically code variables, can be one of 4 levels – nominal, ordinal, interval, or ratio. It is important to identify which level a variable is, as this impacts the kind of analysis we can do with the data. For example, descriptive statistics such as means can only be done on interval or ratio level data. Please list, under each label, the variables in our data set that belong in each group..
2. The first step in analyzing data sets is to find some summary descriptive statistics for key variables. For salary, compa, age, Performance Rating, and Service; find the mean and standard deviation for 3 groups: overall sample, Females, and Males. You can use either the Data Analysis Descriptive Statistics tool or the Fx =average and =stdev functions. Note: Place data to the right, if you use Descriptive statistics, place that to the right as well:
3. What is the probability for a:
   a. Randomly selected person being a male in grade E?
   b. Randomly selected male being in grade E?
   c. Why are the results different?
4. For each group (overall, females, and males) find::
   a. The value that cuts off the top 1/3 salary in each group.
   b. The z score for each value.
   c. The normal curve probability of exceeding this score.
   d. What is the empirical probability of being at or exceeding this salary value?
   e. The score that cuts off the top 1/3 compa in each group.
   f. The z score for each value.
   g. The normal curve probability of exceeding this score.
   h. What is the empirical probability of being at or exceeding this salary value?
   i. How do you interpret the relationship between the data sets? What do they mean about our equal pay for equal work question?
5. Equal Pay Conclusions:
   a. What conclusions can you make about the issue of male and male pay equality? Are all of the results consistent?
   b. What is the difference between the salary and compa measures of pay?
   c. Conclusions from looking at salary results:
   d. Conclusions from looking at compa results:
   e. Do both salary measures show the same results?
   f. Can we make any conclusions about equal pay for equal work yet?

BUS 308 Week 1 Post Your Introduction – Discussion: On the first day of class, introduce yourself to your instructor and classmates by sharing a little about yourself. In addition, include in your introduction one of the options below:

• Your goals and experience with statistics and how it has affected some of the decisions you have made.
• A “startling” statistic that you find interesting and what the effect of that statistic might indicate. Be sure to cite the source of your statistic.

BUS.308 Discussion 1-1/ Language: Numbers and measurements are the language of business. Organizations look at results in many ways: expenses, quality levels, efficiencies, time, costs, etc. What measures does your department keep track of? Are they descriptive or inferential data, and what is the difference between these? (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, or use personal measures.)

BUS 308 Discussion 1-2/ Probability: What are some examples of probability outcomes in your work or life? How would looking at them in terms of probabilities help us understand what is going on? How does the normal curve relate to activities/things you are associated with?

BUS 308 Full Week 1. Homework Solution. Course Assignment. Ashford University Coursework. Helpful Course Material for Ashford University Students. BUS-Business Courses. Secure A+ Grade at Ashford University.