Baker is single and earned $225,600 of salary as an employee in 2019. How much should his employer have withheld from his paycheck for FICA taxes?

Multiple Choice

• $11,502

• $17,227

• $11,741

• $10,879

The general social survey (GSS) is a yearly survey of adult US citizens on a variety of social issues. Over 5300 different questions have been asked over the nearly 40 years of administering the survey, with many of the questions, the same from year to year. Here are some of the questions asked:

i. Gender (Male/Female)

ii. Age (years)

iii. Highest Degree Earned (None, High School Diploma, Associate’s level, Bachelor’s level, Post-bachelor’s [MS, PhD, MD, etc.])

iv. Political Party (Republican, Democrat, Other)

v. Household yearly income ($’s)

For each of the following questions, indicate the most appropriate analysis to be used to test the research hypothesis. Choose one of the following strategies: ANOVA (comparing multiple group means), Independent Samples T-Test (comparing two group means), Correlation, Chi-squared Test (comparing two or more proportions), One proportion test

14. A relationship between Gender and Highest Degree Earned__________________

15. A relationship between Age and Income________________________

16. A relationship between Age and Highest Degree Earned____________________

17. A relationship between Political Party Affiliation and Income___________________

During 2009, Solar Corporations earned profits amounting to $4.5 million and paid preference dividends amounting to $100,000. The company had 3.5 million shares outstanding throughout the year with an average market price of $50. It also had 50,000 stock options outstanding, which had an exercise price of $40. Given that the market price of the company’s shares at year‐end was $60 and that the company pays taxes at the rate of 35%, its diluted EPS using the treasury stock method is closest to:

MBA - Managerial Economics

1. Demand of a product is usually very sensitive to economic variables, such as the prices and consumer income. This responsiveness of demand is elasticity. Compute elasticity in the below scenarios:
   1. Yesterday, the price of envelopes was $3 a box, and Jacky was willing to buy 10 boxes. Today, the price has gone up to $3.75 a box, and Jacky is now willing to buy 8 boxes. Is Jacky's demand for envelopes elastic or inelastic? What is Jacky's elasticity of demand?
   2. Katy advertises to sell cookies for $4 a dozen. She sells 50 dozen, and decides that she can charge more. She raises the price to $6 a dozen and sells 40 dozen. What is the elasticity of demand? Assuming that the elasticity of demand is constant, how many would she sell if the price were $10 a box?

Thanks

You are a hotshot MBA financial analyst for the manager of the Emmons Corporation’s Machining Department. Your manager is visibly upset after being reprimanded for his department’s poor performance over the last month, as presented in the below report:

Emmons Corporation – Machining Department

Department Performance Report

For the Month of November 2016

“I just can’t understand all these unfavorable variances,” your manager complained to you. “When the big boss called me in, I thought she was going to give me a pat on the back for the great job that we had done in November. Instead, she handed me a copy of this report, read me the riot act, and pointed out to me that every variance was unfavorable! I need your help in countering the conclusions of this report.”

Your manager gives you the above report and you go back to your office to study and prepare the response for your manager. You know that direct labor wages and supplies are variable costs; supervision and depreciation are fixed costs, and maintenance and utilities are mixed costs. The fixed component of the original budget maintenance cost is $92,000. The fixed component of the original budget utilities cost is $11,700.

Required:

1. You recall studying flexible budgets in your amazing MBA program. Using a flexible budget approach, prepare the more appropriate performance report for your manager.
2. Based on your report in “a” above, how would you evaluate your department’s performance?

In a survey of MBA students, the following data were obtained on “students’ first reason for application to the school in which they matriculated.” Reason for Application School School cost or Quality Convenience Other Totals Enrollment Status Full Time 421 393 76 890 Part Time 400 593 46 1039 Totals 821 986 122 1929 (a) Develop a joint probability table for these data. (b) Use the marginal probabilities of school quality, school cost or convenience, and other to comment on the most important reason for choosing a school. (c) If a student goes full time, what is the probability that school quality is the first reason for choosing a school? (d) If a student goes part time, what is the probability that school quality is the first reason for choosing a school? (e) Are the enrollment status and the reason for application independent? Explain using probabilities.

Assignment Problem:

Matt Profitt, an MBA student, is studying companies that are going public for the first time. He is curious about whether or not there is a significant relationship between the size of the offering (in millions of dollars) and the price per share.

Size    108     4.4      3.5      8.6      139     228     47.5    5.5      175     12        51        66

Price   12        4          5          6          13        19        8.5      5          15        6          12        12        

a. Develop the appropriate scatterplot for the two variables in the Excel spreadsheet.

b. Based upon the visual inspection of the plot, what type (directional) of relationship do you anticipate between the dependent and independent variables? Offer a brief explanation why that makes theoretical sense.

Please use the example illustrated Tables 12.2 and 12.3 for guidance on the EXCEL steps appropriate to generate the information needed to address the remaining sections.

c. Calculate SS_XX,SS_YY, and SS_XY.

d. Calculate the estimated y intercept (b₀) and the estimated slope coefficient (b₁).

e. Interpret the estimate slope coefficient.

f. Construct the ANOVA appropriate for this regression model.

g. Calculate r².

h. Interpret the coefficient of determination.

i. Calculate s sub b1.

j. Calculate the correlation coefficient.

k. Test whether or not the population correlation coefficient (rho) differs from zero. Use alpha = 0.05.

Could you please just help me with J and K? Thank you so much!

Describe either an adverse selection or moral hazard problem a company is facing. Describe the qualities that make it either adverse selection or moral hazard. What is the source of the asymmetric information? Who is the less-informed party? Are there any wealth-creating transactions not consummated as a result of the asymmetric information? If so, could you consummate them? What advice/recommendations would you give the company? Incorporate concepts from the readings and lectures.