Consider the following three projects:

The cost of capital of the firm is 10%.

Based on the IRR decision rule:

1. Should you invest in Project A?

Below are multiple choice for the IRR calculation

i) 16.55%

ii) 17.61%

iii) 18.31%

iv) 20.22%

v) Cannot calculate

Answer: I should/should not (choose one) invest in Project A.

2. Should you invest in Project B?

Below are multiple choice for the IRR calculation

i) 16.55%

ii) 17.61%

iii) 18.31%

iv) 20.22%

v) Cannot calculate

Answer: I should/should not (choose one) invest in Project B.

3. Should you invest in Project C?

Below are multiple choice for the IRR calculation

i) 16.55%

ii) 17.61%

iii) 18.31%

iv) 20.22%

v) Cannot calculate

Answer: I should/should not (circle one) invest in Project C.

4. Assume that we can only take one of the projects. Which one would we choose?

Answer: You would choose project ____________

To examine changes in teaching self-efficacy, 10 teachers were measured on their self-efficacy toward teaching at the beginning of their teaching career and at the end of their first year and third years of teaching. The teaching self-efficacy scale ranged from 0 to 100 with higher scores reflecting greater teaching self-efficacy. The data are shown here.

A. Conduct a one-factor repeated measures ANOVA to determine mean differences across time, using alpha = .05.

B. Then, use the Bonferroni method to detect if and/or where the differences are among the time points.

Give necessary tables/figures for each.

In this study, researchers were interested in knowing if the amount of coffee (none, one cup, 4 cups) and the time coffee was ingested (am v. pm) affected student exam performance (exams were in the evening). This study took place over a 3-day period. Students were randomly assigned to either ingest coffee in the morning (AM) or the evening (PM). On day one, students were given no coffee; on day two, students were given one cup of coffee; and on day three, students were given four cups of coffee. Below are the data from this experiment. Exam scores could range from 0-100, higher scores indicate better exam performance.

1. What type of design is this experiment? (between-subjects, within-subjects, mixed) Be sure to also write the factorial notation.
2. What are the IV(s)? Be sure to indicate the levels of and the type of variable (between-subjects, within-subjects).
3. Draw a block diagram for your variables. Be sure to include cell means and marginal means.

Tilbert Toys (TT) makes the popular Floppin’s Freddy Frog and Jumpin’ Jill Junebug dolls in batches. TT has recently adopted activity-based costing. TT incurs setup costs for each batch of dolls that it produces. TT uses “number of setup” as the cost driver for setup costs.

TT has just hired Bebe Williams, an accountant. Bebe thinks that “number of setup hours” might be a better cost driver because the setup time for each product is different. Bebe collects the following data.

1. Use the linear regression method to estimate cost behavior. Excel has a function that you can use (I have posted these data in excel on Blackboard for your convenience). Print out the regression output and attach to this report. Data plotting is optional and may help assess the superiority of different models.

2. Interpret and evaluate your regression results (make sure you evaluate all necessary statistics). According to the criteria of determining appropriate cost driver, which cost driver do you recommend to use and why? Write out the correct cost formula.

3. Estimate total costs in a month when 100 batches of Floppin’s Freddy Frog and 20 batches Jumpin’s Jill Junebug are produced. To set up 1 batch of Floppin’s Freddy Frog, it takes 1 setup hours. To set up 1 batch of Jumpin’s Jill Junebug, it takes 0.5 setup hours.

4. You are working on the budget for November 2012 and expect 250 setup hours to be used in total. Will you use the cost formula to estimate set up cost in your budget? Why?

5. How does linear regression differ from the high-low method in estimating fixed and variable costs? Discuss the pros and cons of each.

SHOW WORK

. Using the Boyer-Moore algorithm, find the Bad Match table for the below patterns.                                                                                                   (8 points)

i) Pattern1:   AABCACCCA

ii) Pattern 2: CCCAAABBD

iii) Pattern3:  ABCABCBAD

iv) Pattern4:   BSDGSBAA

SHOW WORK

Write a method which is passed A[], which is an array of int, and an int passingScore. The method returns the number of items in A[] which are greater than or equal to passingScore.

Write a method which is passed an array of int A[]. The method returns true if A[] is the same backwards and forwards.

Write a method same( ), which is passed two arrays of int. The method returns true if the two arrays contain exactly the same contents.

Write a method called copy, which is passed A[], which is an array of int. The method returns a new array consisting of exactly the same items in A[].

Write a method called copy, which is passed A[], which is an array of int, and an integer n. The method returns a new array consisting of the first n items in A[].

Write a method called slice, which is passed A[], which is an array of int, an integer i and an integer j. The method returns a new array consisting of all of the items in A from A[i] to A[j] inclusive.

Write a method called copy, which is passed A[], which is an array of int, and an integer n. The method returns a new array consisting of all of the items in A[] which are greater or equal to n.

Write a method which is passed an array of int and returns true if the array is sorted in ascending order.

Write a method called generateTriangleNumbers(). This method will take in an integer x and will return an array of integers containing the first x triangle numbers. The nth triangle number is the sum of 1 + 2 + 3 + 4...(n − 1) + n.

generateTriangleNumbers(3) returns the array {1,3,6}

generateTriangleNumber(1) returns the array {1}

generateTriangleNumbers(7) returns the array {1, 3, 6, 10, 15, 21, 28}

Write a method which is passed a String and returns the String in reverse.

Write a method which is passed an array of String and modifies it so that all the Strings in the array are reversed. For example, if we pass the array: {"apple", "banana", "racecar", "abc"} the method transforms it to: {"elppa", "ananab", "racecar", "cba"}

Write a method which is passed a two-dimensional array of int row by row. Do not assume that each row has the same number of columns.

Write a method which is passed a two-dimensional array of int column by column.

Implement the method:

/* sets every value in A[][] to initVal */
public static void initialize(int A[][], int initVal) 
    

Implement the method:

/* returns the largest element in A */
public static int largestItem(int A[][]) 
    

Implement the method:

/* returns the sum of the row in A that has the largest
 * sum. */
public static int largestRow(int A[][]) 
    

Implement the method:

/* Returns column i of A as an array. For example, if */
/* A[][] is: */
/* |-----+-----+-----+-----+-----| */
/* |  10 |  20 |  30 |  40 |  50 | */
/* |-----+-----+-----+-----+-----| */
/* |  60 |  70 |  80 |  90 | 100 | */
/* |-----+-----+-----+-----+-----| */
/* | 110 | 120 | 130 | 140 | 150 | */
/* |-----+-----+-----+-----+-----| */
/* and i is 1, the method returns the array */
/*                                 */
/*   |----+----+-----|             */
/*   | 20 | 70 | 120 |             */ 
/*   |----+----+-----|             */
/*                                 */
/* You may assume that every row has */
/* the same number of columns. */
public static int[] getCol(int A[][], int i)
    

Implement the method:

/* returns the sum of the column in A that has the largest
 * sum. You may assume that each row has the same number
 * of columns. */
public static int largestCol(int A[][])

QUESTION 1

1. Perform an Fmax test on the following 2 samples, and then choose the correct statement.
   
   Sample A: 8, 6, 8, 6, 8, 6 (M = 7, n = 6)
   Sample B: 12, 10, 10, 16, 12, 12 (M = 12, n = 6)

   		Fmax = 4.0, and since the critical Fmax value is 7.15, you conclude that the data meets the homogeneity of variance assumption.
   		Fmax = 3.54, and since the critical Fmax value is 7.15, you conclude that the data meets the homogeneity of variance assumption.
   		Fmax = 3.54, and since the critical Fmax value is 1.96, you conclude that the data violates the homogeneity of variance assumption.
   		Fmax = 4.0, and since the critical Fmax value is 7.15, you conclude that the data violates the homogeneity of variance assumption.

2. Perform an Fmax test on the following 2 samples, and then choose the correct statement [G&W Chp10].
   
   Sample A: 7, 5, 8, 7, 7, 7, 8, 7 (M = 7, n = 8)
   Sample B: 16, 8, 12, 10, 10, 16, 12, 12 (M = 12, n = 8)

   		Fmax = 8.0, and since the critical Fmax value is 4.99, you conclude that the data meets the homogeneity of variance assumption.
   		Fmax = 8.0, and since the critical Fmax value is 4.99, you conclude that the data does not meet the homogeneity of variance assumption.
   		Fmax = 9.33, and since the critical Fmax value is 8.89, you conclude that the data meets the homogeneity of variance assumption.
   		Fmax = 9.33, and since the critical Fmax value is 4.99, you conclude that the data does not meet the homogeneity of variance assumption.

3. Standard error for the Independent-measures t-test relies on pooled variance taken by adding the sum of squares from the two sample groups together . true or false

Andretti Company has a single product called a Dak. The company normally produces and sells 124,000 Daks each year at a selling price of $44 per unit. The company’s unit costs at this level of activity are given below:

A number of questions relating to the production and sale of Daks follow. Each question is independent.

Required:

1. The company has 400 Daks on hand that have some irregularities and are therefore considered to be "seconds." Due to the irregularities, it will be impossible to sell these units at the normal price through regular distribution channels. What is the unit cost figure that is relevant for setting a minimum selling price?

2. Due to a strike in its supplier’s plant, Andretti Company is unable to purchase more material for the production of Daks. The strike is expected to last for two months. Andretti Company has enough material on hand to operate at 25% of normal levels for the two-month period. As an alternative, Andretti could close its plant down entirely for the two months. If the plant were closed, fixed manufacturing overhead costs would continue at 30% of their normal level during the two-month period and the fixed selling expenses would be reduced by 20% during the two-month period.

a. How much total contribution margin will Andretti forgo if it closes the plant for two months?

b. How much total fixed cost will the company avoid if it closes the plant for two months?

3. An outside manufacturer has offered to produce 124,000 Daks and ship them directly to Andretti’s customers. If Andretti Company accepts this offer, the facilities that it uses to produce Daks would be idle; however, fixed manufacturing overhead costs would be reduced by 30%. Because the outside manufacturer would pay for all shipping costs, the variable selling expenses would be only two-thirds of their present amount. What is Andretti’s avoidable cost per unit that it should compare to the price quoted by the outside manufacturer?

CorrelationSPSS Lab

A researcher was interesting in the relationship between motivation and depression. She collected data from 10 participants. All participants completed a standardized motivation questionnaire and depression scale.  The data are in the table below.

Select and compute the appropriate statistical test in SPSS.  

1. Open a new data page in SPSS

2. In data view, copy and paste the values from the table (only the motivation and depression scores).

3. Go to variable view and change the column names from VAR000001 and VAR000002 to Motivation and Depression, respectively.

4. Make sure the type says numeric.

5. Go back to data view.

6. Select:

Analyze

Correlate

Bivariate

7. Move both depression and motivation over to the variable pane.

8. Make sure Pearson and two-tailed are selected

9. Got to options. Select means and standard deviations and click continue.

10. Click ok. An output window should appear.

11. The output for the correlation is a matrix. The top left corner is Motivation. If you move to the right there should be a 1.  That is showing that motivation is perfectly correlated with itself, r(8) = 1.00, p< 0.001.

12. Now look at the next part of the matrix to the right.   The number should be-0.967. This is the correlation coefficient for our two variables. Also, please note the Sig. level (this is the p value), and N (the number of pairs).

.  What are the means and standard deviations for the variables.

2. What is the correlation coefficient.

3. What is the pvalue. Is it significant?

4. What are the df for this analysis?  (Hint: df = (N – 2))

5.  Explain in words what this correlation means.

6. Write a conclusion in APA style. Please include the means (sd) and describe the relationship. Include the statistic at the end of the sentence (like the example I gave above with motivation correlated with itself).