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

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?

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

Case Problem - Regression

Are you going to hate your new job?

Getting a new job can be exciting and uplifting. But what if you discover that after a short time on the job, that you hate your new job? Is there any way to determine ahead of time whether you will love or hate your new job? According to the Wall Street Journal, there are a few things to look for in the interview that might help you to determine whether you will be happy on that job.

A study conducted by the University of Connecticut posed several questions to employees to ascertain their job satisfaction. Themes included: relationship with the supervisor, overall quality of the work environment, total weekly hours worked, and opportunity for advancement at the job. Nineteen employees were asked to rate their job satisfaction on a scale of 0-100, with 100 being perfectly satisfied. The results of the survey are as follows. Assume that the relationship with a supervisor is rated from 0-50, with 50 as excellent. Overall workplace quality rated from 0-100, with 100 representing an excellent environment and opportunities for advancement on a scale of 0-50 with 50 representing excellent opportunity.

Job                   Relationship                 Overall Quality              Total Hrs.                      Opportunities

Satisfaction       w/ Supervisor               Work Environ                Worked/wk                  Advancement

55                    27                                65                                50                                42

20                    12                                13                                60                                28

85                    40                                79                                45                                7

65                    35                                53                                65                                48

45                    29                                43                                40                                32

70                    42                                62                                50                                41

35                    22                                18                                75                                18

60                    34                                75                                40                                32

95                    50                                84                                45                                48

65                    33                                68                                60                                11

85                    40                                72                                55                                33

10                    5                                  10                                50                                21

75                    37                                64                                45                                42

80                    42                                82                                40                                46

50                    31                                46                                60                                48

90                    47                                95                                55                                30

75                    36                                82                                70                                39

45                    20                                42                                40                                22

65                    32                                73                                55                                12

1. Develop a multiple regression model and analyze the data above related to job satisfaction. Use the four step analytical process to analyze the data. Test at the 0.05 level of significance and discuss in detail.

2. Of the variables above that are related to job satisfaction, which variables are stronger predictors of job satisfaction? Are other variables not mentioned here, potentially related to job satisfaction? Discuss in detail.

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).

journalize each transaction.

Background:

Top Quality Appliance - Long Beach has just purchased a franchise from Top Quality Appliance (TQA). TQA is a manufacturer of kitchen appliances. TQA markets its products via retail stores that are operated as franchises. As a TQA franchise, Top Quality Appliance - Long Beach will receive many benefits, including having the exclusive rights to sell TQA brand appliances in Long Beach. In exchange for these benefits, Top Quality Appliance - Long Beach will pay an annual franchise fee to TQA based on a percentage of sales. The annual franchise fee is a separate cost and in addition to the purchase of the franchise. Top Quality Appliances - Long Beach entered into all transactions listed in the Transactions section below during 2018, its first year of operations.

01/01/2018

Received $500,000 cash and issued common stock. Opened a new checking account at Long Beach National Bank and deposited the cash received from the stockholders.

01/01/2018

Paid $50,000 cash for the TQA franchise.

01/01/2018

Paid $75,000 for store fixtures.

01/01/2018

Paid $45,000 for office equipment.

01/01/2018

Paid $600 for office supplies.

01/01/2018

Paid $3,600 for a two-year insurance policy.

01/01/2018

Paid $200,000 cash and issued a $400,000, 10-year, 5% notes payable for land with an existing building. An independent appraiser valued the land and building at $100,000 and $500,000, respectively.

01/10/2018

Purchased appliances from TQA (merchandise inventory) on account for $425,000.

01/15/2018

Established a petty cash fund for $150.

01/20/2018

Sold appliances on account to B&B Contractors for $215,000, terms n/30 (cost, $86,000). Record two separate entries.

02/01/2018

Sold appliances to Davis Contracting for $150,000 (cost, $65,000), receiving a 6-month, 8% note. Record two separate entries.

02/05/2018

Recorded credit card sales of $80,000 (cost, $35,000), net of processor fee of 2%. Record two separate entries.

02/24/2018

Received payment in full from B&B Contractors.

03/01/2018

Purchased appliances from TQA on account, $650,000.

04/01/2018

Made payment on account to TQA, $300,000.

06/01/2018

Sold appliances for cash to LB Home Builders for $350,000 (cost, $175,000). Record two separate entries.

08/01/2018

Received payment in full on the maturity date from Davis Contracting for the note from February 1.

11/01/2018

Sold appliances to Leard Contracting for $265,000 (cost, $130,000), receiving a 9-month, 8% note. Record two separate entries.

11/03/2018

Made payment on account to TQA, $500,000.

11/10/2018

Sold appliances on account to various businesses for $985,000, terms n/30 (cost, $395,000). Record two separate entries.

11/15/2018

Collected $715,000 cash on account.

12/01/2018

Paid cash for expenses: Salaries, $180,000; Utilities, $12,650 (prepare one compound entry).

12/01/2018

Replenished the petty cash fund when the fund had $62 in cash and petty cash tickets for $85 for office supplies.

12/15/2018

Paid dividends, $5,000.

12/31/2018

Paid the franchise fee to TQA of 5% of total sales of $2,045,000.

12/31/2018

The bank reconciliation revealed $1,565 of interest earned on the checking account.

12/31/2018

The bank reconciliation revealed bank fees totaling $2,465 for the year.

12/31/2018

(Adjustment 9) Calculate the interest owed on the note payable.

12/31/2018

(Adjustment 2) Management estimated that 5% of Accounts Receivable will be uncollectible.

12/31/2018

(Adjustment 3) An inventory of office supplies indicates $475 of supplies have been used.

12/31/2018

(Adjustment 4) Accrued interest revenue on the Leard Contracting note (round your answer to the nearest whole dollar).

12/31/2018

(Adjustment 5) Record depreciation expense on the building. The company uses the straight-line depreciation method, and believes the building will last for 30 years and have a $50,000 residual value.

12/31/2018

(Adjustment 6) Record depreciation expense on the fixtures. The company uses straight-line depreciation method, and believes the fixtures will last for 15 years with zero residual value.

12/31/2018

(Adjustment 7) Record depreciation expense on the office equipment. The company uses the double declining-balance depreciation method, and believes the equipment will last for 5 years and have a $5,000 residual value.

12/31/2018

(Adjustment 8) Record amortization expense for the year on the franchise, which has a 10-year life.

12/31/2018

(Adjustment 1) One year of the prepaid insurance has expired.

The project manager is often faced with the need to reduce the time taken to complete a project. However, the cost usually increased due to the additional resources required. The table below presents normal and crash times and costs for each activity in a project. Immediate predecessor Normal time Normal cost Crash time Crash cost A - 4 50 2 90 B A 6 80 4 160 C A 10 60 8 120 D A 11 50 7 150 E B 8 100 6 160 F C,D 5 40 4 70 G E,F 6 70 4 150 Given the information in the above network and the table, answer the following questions: a) The project manager would like to reduce the duration of the project to 23 days. Identify the activities that you would crash and the resulting total cost for the project. Show workings. (3.5 marks) b) The table below shows the indirect project cost for different durations. What would be the optimal number of days for the project duration? Explain your answer and show workings. Days Indirect Costs 26 500 25 460 24 420 23 400 22 380 21 360 20 320 19 300 18 260 c) Use this data to graphically present the total costs of the project

John Wayne is 50 years old and plans to retire in 20 years. His new employer provides 401K retirement plan and he plans to accumulate $1,000,000 in his retirement account by age of 70. Use Excel to answer the following questions.

1. How much he has to contribute per year at return of 7% per year to reach his retirement goal.
2. Redo part (a) if john decides to increase his contribution 0.50% per year over 20 years.

c.Redo part (a) if the yearly return for the first 10 years is 7% and last 10 years is 9%.

1. A jar contains 100 gummy bears: 50 ordinary candies, and 50 cannabis edibles. Of the ordinary candies, 40 are red and 10 are green. Of the cannabis edibles, 20 are red, and 30 are green. A gummy bear is drawn at random from the jar, in such a way that each gummy bear is equally likely to be the one drawn. What is the probability that the drawn gummy bear is a cannabis edible, conditional on it being red?

You want to buy 100 shares of XYZ stock, and you don't want to pay more than $20 per share for it. Which option strategy would be the least expensive?

Use letters in alphabetical order to select options

1. A Buy one XYZ 20 call for $2.

2. B Sell one XYZ 20 call for $4.

3. C Buy one XYZ 20 put for $1.

4. D Sell one XYZ 20 put for $3.

You want to set up a covered call position on 1,000 shares of XYZ stock. Your goal is to collect the greatest premium, and you don't mind being assigned. Which of these would you probably do if XYZ were trading for $40 per share?

Use letters in alphabetical order to select options

1. A Buy 10 calls on XYZ stock with a strike price of $25.

2. B Sell 10 calls on XYZ stock with a strike price of $30.

3. C Sell 10 calls on XYZ stock with a strike price of $45.

4. D Sell 10 puts on XYZ stock with a strike price of $50.

You sell to open ten ABC 40 puts for $2 each. What's the best thing that can happen now?

Use letters in alphabetical order to select options

1. A ABC stock stays at $40, and the puts expire worthless.

2. B ABC stock stays at $40, and you buy back the puts for a profit.

3. C ABC's price rises to $50, and you're assigned to buy the stock at $40 per share.

4. D ABC stock falls to $30, and you exercise the puts to sell the stock at $40 per share.