The following data for Throwback Industries Inc. relate to the payroll for the week ended December 9, 2016: Employee Hours Worked Hourly Rate Weekly Salary Federal Income Tax U.S. Savings Bonds Aaron 43 $70 $689.44 $105 Cobb 43 58 539.92 115 Clemente 45 64 668.44 125 DiMaggio 39 52 377.80 0 Griffey, Jr. 48 64 749.08 135 Mantle $1,700 317.45 125 Robinson 38 53 387.32 135 Williams 2,100 426.24 130 Vaughn 48 64 770.08 80 Employees Mantle and Williams are office staff, and all of the other employees are sales personnel. All sales personnel are paid 1½ times the regular rate for all hours in excess of 40 hours per week. The social security tax rate is 6.0%, and Medicare tax is 1.5% of each employee’s annual earnings. The next payroll check to be used is No. 901. Required: 1. Prepare a payroll register for Throwback Industries Inc. for the week ended December 9, 2016. Assume the normal working hours in a week are 40 hours. Enter amounts as positive numbers and round your intermediate calculations and final answers to the nearest whole cent (two decimal places). 2. Journalize the entry to record the payroll for the week. If required, round your answers to two decimal places. Refer to the Chart of Accounts for exact wording of account titles.

The following table provides information on life expectancies for a sample of 22 countries. It also lists the number of people per television set in each country.

Instructions: When Minitab is used to answer a question below, copy the output from Minitab into your document.

Use Minitab to produce a scatterplot of life expectancy vs. people per television set. Does there appear to be an association between the two variables? Elaborate briefly.

Have Minitab calculate the value of the Pearson correlation coefficient between life expectancy and people per television.

Since the association is so strongly negative, one might conclude that simply sending television sets to the countries with lower life expectancies would cause their inhabitants to live longer. Comment on this argument.

If two variables have a correlation close to +1 or –1, indicating a strong linear association between them, does it follow that there must be a cause-and-effect relationship between them?

This example illustrates the very important distinction between association and causation. Two variables may be strongly associated (as measured by the correlation coefficient) without a cause-and-effect relationship existing between them. Often the explanation is that both variables are related to a third variable not being measured; this variable is often called a lurking variable.

In the case of life expectancy and television sets, suggest a lurking variable that is associated both with a country’s life expectancy and with the prevalence of televisions in the country.

This week we were introduced to the "normal curve," also known as the bell curve. Many human factors are normally distributed, and your task for this week's discussion is two describe two examples from your own life. I'll start with my own example, which is the amount of sleep I get per night. My average is about 7 hours, and the distribution of sleep time over many nights most likely has a normal distribution. Some nights I get less than 7 hours, some nights I get more. However, the frequency of data becomes less and less, the farther it is from 7. In other words, something like 10 hours of sleep is extremely uncommon, as is only getting 4 hours. On the other hand, 6.5 hours is relatively common, as is 7.5. If I graphed the amount of sleep I got over the last 100 nights, it would approximate the shape of a bell curve.

So, what are two examples from your own life?

WACC

The following table gives Foust Company's earnings per share for the last 10 years. The common stock, 8.2 million shares outstanding, is now (1/1/17) selling for $77 per share. The expected dividend at the end of the current year (12/31/17) is 40% of the 2016 EPS. Because investors expect past trends to continue, g may be based on the historical earnings growth rate. (Note that 9 years of growth are reflected in the 10 years of data.)

The current interest rate on new debt is 11%; Foust's marginal tax rate is 40%; and its target capital structure is 40% debt and 60% equity.

1. Calculate Foust's after-tax cost of debt. Round your answer to two decimal places.
   %
   
   Calculate Foust's cost of common equity. Calculate the cost of equity as r_s = D₁/P₀ + g. Round your answer to two decimal places. Do not round your intermediate calculations.
   %
2. Find Foust's WACC. Round your answer to two decimal places. Do not round your intermediate calculations.
   %

Mr. Cooper recently gave a test to his 50 student history class. The scores were normally distributed with a mean of 75 and a standard deviation of 7.

1) What percentage of students scored higher than​ 85?​% (Round to two decimal​ places)

2) What percentage of students scored between 73 and​ 80?% ​(round to two decimal​ places)

3) 75% of the students scored higher than what​ score? ​(Round to two decimal​ places)

​4) 30% of students scored lower than what​ score? (Round to two decimal​ places)

5) Approximately how many students got a C​ (70) or higher on the​ exam?  nothing

6) Approximately how many students got an A​ (90+) on the​ exam?

An educational psychologist has developed a meditation technique to reduce anxiety. The psychologist selected a sample of high anxiety students that are asked to do the meditation at two therapy sessions a week apart. The participants' anxiety is measured the week before the first session and at each subsequent session. Below are the anxiety scores for the participants. What can the psychologist conclude with α = 0.05?

b) Obtain/compute the appropriate values to make a decision about H₀.
critical value = _____________ ; test statistic = _____________
Decision:  ---Select--- Reject H0 Fail to reject H0

c) Compute the corresponding effect size(s) and indicate magnitude(s).
η² = _____________ ;  ---Select--- na trivial effect small effect medium effect large effect

d) Make an interpretation based on the results.

1)At least one of the sessions differ on anxiety.

2)None of the sessions differ on anxiety.    

e) Regardless of the H₀ decision, conduct Tukey's post hoc test for the following comparisons:
2 vs. 3: difference = ________ ; significant:  ---Select--- Yes No
1 vs. 3: difference = _________ ; significant:  ---Select--- Yes No

Suppose there are 8 activities in your project with the following information.

What is the total project lead time?

a.) 40 b.)26 c.) 23

What activity is not part of the critical path?

a.) activity E b.) Activity C c.)Activity D

If activity F does not start once it is ready, but it is late for 3 days. What will happen to the project lead time?

a.)Will be 2 days delay b.)Does not change c.)Will be 1 day delay

If activity E does not start once it is ready, but it is late for 2 days. What will happen to the project lead time?

a.)Does not change b.)Will be 1 day delay c.)Will be 2 days delay

Two-Way ANOVA Extra Credit Worksheet

PSYC2002C-007

A researcher wants to know whether TV time is related to amount of sharing for boys and girls. To test this, the researcher splits 24 boys and 24 girls into even groups to undergo conditions of no TV, 1 hour of TV, 2 hours of TV, and 3 hours of TV, then measures the number of times they shared toys or food with the other children in their group in an hour-long play-time afterwards.

The resulting data is shown below:

State the IV’s and the DV: __________________________________________________

What is the factorial notation for the ANOVA? _________________________________

Complete the following table and show your work for Sum of Squares calculations below:

Hint: To find significance, find F-crit for each.

SS_tot =

SS_bn =

SS_TV =

SS_gender =

SS_interaction =

SS_wn =

Was there an interaction effect between the TV time and gender? If so, interpret this effect.

Was there a main effect for TV time? If so, interpret this effect.

Was there a main effect for gender? If so, interpret this effect.

What had the largest effect size? Highlight/bold one of the following:

TV time

Gender

Interaction between TV time and gender

You and your friend each choose 7 songs at random from a list of 20 distinct songs in a playlist. What is the probability that exactly 5 out of the 7 songs you picked match your friend’s?

Sturgill Manufacturing Inc. needs to predict the numbers of machines and employees required to produce its planned production for the coming year. The plant runs three shifts continuously during the workweek, for a total of 120 hours of capacity per week. The shop efficiency (the percent of total time available for production), which accounts for setups, changeovers, and maintenance, averages 70% with a standard deviation of 5%, which reduces the weekly capacity. Six key parts are produced, and the plant has three different types of machines to produce each part. The machines are not interchangeable as they each have a specific function. The time to produce each part on each machine varies. The mean time and standard deviation (in hours) to produce each part on each machine are shown below: Mean Time Part Type Machine A Machine B Machine C 1 3.5 2.6 8.9 2 3.4 2.5 8 3 1.8 3.5 12.6 4 2.4 5.8 12.5 5 4.2 4.3 28 6 4 4.3 28 The question is from following book and from Chapter 12 question 27 Textbook: James Evans, Business Analytics, 3nd edition, 2019, Pearson Education, Pearson. ISBN: 13:978-0-13-523167-8