4. Process Costing – Equivalent units of production, Weighted Average Method (7pts): The Lost Moon of Poosh, Inc. is a sports drink manufacturer who uses process costing to account for its production costs each period. The Lost Moon of Poosh uses two departments in the production of its product – Blending and Bottling. The following is information obtained for the Blending department for the month of January:

                Work in process (WIP) inventory, beginning balance:

                                Units in beginning WIP: 19,000

                                DM costs in beginning WIP: $91,000

                                Conversion Costs in beginning WIP: $49,400

                Units started / costs incurred during January:

                                Units started: 65,700

                                DM costs incurred: $167,500

                                Conversion Costs incurred: $85,900

At the end of January, as of January 31^st, there were 17,300 units left in ending WIP inventory. These partially completed units were 75% complete with respect to DM and 40% complete with respect to Conversion Costs. Use the Weighted-Average method to answer the questions below.

1. 1pt: Calculate how many units were completed and transferred out to the Bottling Department during January.

2. 2pts: Calculate the Equivalent Units of Production (EUP) for January for both DM and Conversion Costs.

3. 2pts: Calculate the cost per EUP for January for both DM and Conversion Costs. Round your final answer to two decimal places.

4. 1pt: Assign costs to the units completed and transferred out of the Blending Department to the Bottling Department during January.

5. 1pt: Assign costs to the units remaining in the Blending Department’s ending WIP inventory as of January 31^st.

4. Process Costing – Equivalent units of production, Weighted Average Method (7pts): The Lost Moon of Poosh, Inc. is a sports drink manufacturer who uses process costing to account for its production costs each period. The Lost Moon of Poosh uses two departments in the production of its product – Blending and Bottling. The following is information obtained for the Blending department for the month of January:

            Work in process (WIP) inventory, beginning balance:

                        Units in beginning WIP: 19,000

                        DM costs in beginning WIP: $91,000

                        Conversion Costs in beginning WIP: $49,400

            Units started / costs incurred during January:

                        Units started: 65,700

                        DM costs incurred: $167,500

                        Conversion Costs incurred: $85,900

At the end of January, as of January 31^st, there were 17,300 units left in ending WIP inventory. These partially completed units were 75% complete with respect to DM and 40% complete with respect to Conversion Costs. Use the Weighted-Average method to answer the questions below.

1. 1pt: Calculate how many units were completed and transferred out to the Bottling Department during January.

2. 2pts: Calculate the Equivalent Units of Production (EUP) for January for both DM and Conversion Costs.

3. 2pts: Calculate the cost per EUP for January for both DM and Conversion Costs. Round your final answer to two decimal places.

4. 1pt: Assign costs to the units completed and transferred out of the Blending Department to the Bottling Department during January.

5. 1pt: Assign costs to the units remaining in the Blending Department’s ending WIP inventory as of January 31^st.

1. For each scenario write the letter for what kind of hypothesis test or confidence interval is described.

A. One sample z for one mean B. One sample t for one mean C. Two-sample t for dependent means D. Two sample t for independent means E. One sample z for one proportion F. Two sample z for two proportions G. None of the above

i. _______ An anthropology major believes the distribution of homes per city from the Anasazi Indians is normally distributed with a standard deviation of 12 homes. A random sample of 10 Anasazi cities shows an average of 46 homes. He wants an 85% confidence interval for the true overall average.

ii. _______ A History major suspects that Paris has more criminals today than it did in 1500. She learns that in 1500 there were 200 thousand people, and 2 thousand criminals. Today there are 2,211 thousand people, and 30 thousand criminals. She wonders if the difference is significant.

iii. _______ An international studies student has found 90 families where one sibling is living in the US and the other sibling is living in China. The average for the US siblings is 195 pounds with a standard deviation of 20 pounds. The average for the Chinese sibling is 180 pounds with a standard deviation of 15 pounds. The standard deviation of the difference across siblings was 8 pounds. She plans on writing a book discussing whether this is evidence that the American lifestyle is more fat than the Chinese lifestyle.

iv. _______ A psychology major wants to know how much money it would take before a person would do the Macarena in Prexy's Pasture. He randomly samples 20 people and gets an average of $30 with a standard deviation of $90. He wants to use 93% confidence.

v. _______ A criminal justice major wants to know the average time a drug dealer spends in jail in Colorado. The mayor says it should be longer than 15 years. Assume the distribution is normal. A random sample of 10 convicted drug dealers has an average of 20 years with a standard deviation of 5 years. The goal is to test the mayor's claim.

vi. _______ A theater and dance major wants to know if more women or men have seen a ballet. He randomly samples 200 women and finds 11% have seen a ballet. He samples 200 men and finds 7% have seen a ballet. He wants to use 90% significance.

vii. _______ A communication major wants to know the average blood pressure for someone who is about to give a speech. He randomly samples 40 people before they give a speech and gets an average systolic blood pressure of 190 with a standard deviation of 30 mmHg. He wants a 98% confidence interval for the true average systolic blood pressure of someone who is about to give a talk.

viii. _______ An art major is testing whether a new painting was made by Michelangelo. It is known that the amount of lead in a square inch of any of Michelangelo's paintings has a mean of 82 ppm and a standard deviation of 13 ppm. On the new painting 60 random square inches are selected, and there is an average of 70 ppm of lead per square. She wants to test if this painting has significantly different lead levels on average using ?=0.01.

ix. _______ An accounting major knows the marketing people are getting paid more than the finance people. He wants a 96% confidence interval for the difference in salaries between the two majors. The 80 marketing people average $62/year with a standard deviation of $12/year. The 50 finance people average $59/year with a standard deviation of $4/year. The standard deviation of the differences is $3.2/year. His confidence interval will be used to accuse the CFO of favoritism.

x. _______ A philosophy major wants to estimate the proportion of people who know what a philosophy major does with 95% confidence. He randomly samples 100 people and exactly half know what he does.

xi. _______ A political science major wants to know whether more than half the people in Laramie vote on election day. A random sample of 350 people showed 185 of them voted.

xii. _______ A journalism major is tracking the number of protests between San Francisco and New York. He randomly selects 100 days and find the number of protests in each city on each of those days. The average in New York was 2.4 protests, the average in San Francisco was 0.7 protests. The standard deviation in New York was 2.3 while in San Francisco it was 5.7 and the standard deviation of the differences was 1.2 protests. His goal is to find with 80% confidence what the average difference is in the number of riots between the two cities.

xiii. _______ A biology major wants to know the difference between spraying your counter with Lysol and spraying it with alcohol. A petri dish with a million bacteria on it had 99% of the germs die with Lysol. A different dish with a million bacteria on it had 80% die with alcohol. He wants a 95% confidence interval for the true population difference.

xiv. _______ An English major thinks contemporary books have more words than they did 50 years ago. She randomly selects 40 books that were written this year, and randomly selects 40 books written 50 years ago. Her data shows that modern books have an average of 140 thousand words with a standard deviation of 70 thousand words. Fifty years ago it was an average of 90 thousand words with a standard deviation of 10 thousand words. She wants a test with 10% significance.

A medical researcher is interested in whether calcium intake differs, on average, among elderly individuals with normal bone density, with osteopenia (a low bone density that may lead to osteoporosis), and with osteoporosis. He recruits consenting 60 individuals over the age of 65 using his patient records from his hospital (20 from each of the three bone density groups). You may assume that the individuals in each group constitute a simple random sample from consenting patients from that hospital. The individuals keep a food diary for two weeks, at the end of which the researcher computes their average daily calcium intake (in mg). The data are available in the file calcium.csv.

CALCIUM.CSV:

   calcium        group
1      861       normal
2      884       normal
3     1009       normal
4      905       normal
5      909       normal
6     1020       normal
7      932       normal
8      811       normal
9      852       normal
10     869       normal
11     986       normal
12     925       normal
13     928       normal
14     908       normal
15     861       normal
16    1025       normal
17     935       normal
18     762       normal
19     949       normal
20     867       normal
21     675   osteopenia
22     735   osteopenia
23     678   osteopenia
24     699   osteopenia
25     706   osteopenia
26     632   osteopenia
27     809   osteopenia
28     761   osteopenia
29     670   osteopenia
30     838   osteopenia
31     780   osteopenia
32     729   osteopenia
33     813   osteopenia
34     811   osteopenia
35     808   osteopenia
36     798   osteopenia
37     789   osteopenia
38     746   osteopenia
39     729   osteopenia
40     723   osteopenia
41     651 osteoporosis
42     685 osteoporosis
43     611 osteoporosis
44     852 osteoporosis
45     785 osteoporosis
46     621 osteoporosis
47     672 osteoporosis
48     667 osteoporosis
49     755 osteoporosis
50     694 osteoporosis
51     718 osteoporosis
52     698 osteoporosis
53     697 osteoporosis
54     796 osteoporosis
55     684 osteoporosis
56     806 osteoporosis
57     592 osteoporosis
58     741 osteoporosis
59     709 osteoporosis
60     715 osteoporosis

a. What are the null and alternative hypotheses?

b. (1 mark) What is the value of the test statistic?

c. (1 mark) What is the p-value?

d. Using a significance level of α = 0.05, state your conclusions in the language of the problem.

e. State and verify (using plots and/or descriptive statistics) the additional two assumptions required for the p-value in c) to be valid.

ID      Year    CornYield       SoyBeanYield
1       1957    48.3    23.2
2       1958    52.8    24.2
3       1959    53.1    23.5
4       1960    54.7    23.5
5       1961    62.4    25.1
6       1962    64.7    24.2
7       1963    67.9    24.4
8       1964    62.9    22.8
9       1965    74.1    24.5
10      1966    73.1    25.4
11      1967    80.1    24.5
12      1968    79.5    26.7
13      1969    85.9    27.4
14      1970    72.4    26.7
15      1971    88.1    27.5
16      1972    97      27.8
17      1973    91.3    27.8
18      1974    71.9    23.7
19      1975    86.4    28.9
20      1976    88      26.1
21      1977    90.8    30.6
22      1978    101     29.4

23      1979    109.5   32.1
24      1980    91      26.5
25      1981    108.9   30.1
26      1982    113.2   31.5

27      1983    81.1    26.2
28      1984    106.7   28.1
29      1985    118     34.1
30      1986    119.4   33.3
31      1987    119.8   33.9
32      1988    84.6    27.0
33      1989    116.3   32.3
34      1990    118.5   34.1
35      1991    108.6   34.2
36      1992    131.5   37.6
37      1993    100.7   32.6
38      1994    138.6   41.4
39      1995    113.5   35.3
40      1996    127.1   37.6
41      1997    126.7   38.9
42      1998    134.4   38.9
43      1999    133.8   36.6
44      2000    136.9   38.1
45      2001    138.2   39.6
46      2002    129.3   38.0
47      2003    142.2   33.9
48      2004    160.3   42.2
49      2005    147.9   43.1
50      2006    149.1   42.9
51      2007    150.7   41.7

Use both predictors. From the previous two exercises, we conclude that year and soybean may be useful together in a model for predicting corn yield. Run this multiple regression.

a)       Explain the results of the ANOVA F test. Give the null and alternate hypothesis, test statistic with degrees of freedom, and p-value. What do you conclude?

b)      What percent of the variation in corn yield in explained by these two variables? Compare it with the percent explained in the previous simple linear regression models.

c)       State the regression model. Why do the coefficients for year and soybean differ from those in the previous exercises?

d)      Summarize the significance test results for the regression coefficients for year and soybean yield.

e)      Give a 95% confidence interval for each of these coefficients.

f)        Plot the residual versus year and soybean yield. What do you conclude?

For this lab, you will write a C++ program that will calculate the matrix inverse of a matrix no bigger than 10x10. I will guarantee that the matrix will be invertible and that you will not have a divide by 0 problem.

For this program, you are required to use the modified Gaussian elimination algorithm. Your program should ask for the size (number of rows only) of a matrix. It will then read the matrix, calculate the inverse, and print the inverse, and quit. I do not care if you use two separate matrices one for the original and one for the inverse or if you combine the two. Note: the matrix should be a float, and you will need to use the cmath round function to get the output below.

Sample Run:

./a.out
input row size 3
input the matrix to invert
-1 2 -3
2 1 0
4 -2 5
the inverse is:
-5  4  -3  
10  -7  6  
8  -6  5  

Please, i have had two people answer this question but the output gives me Garbage. Please help solve this problem using C++.

Suppose a firm is expected to increase dividends by 5% in one year and by 10% in year two. After that, dividends will increase at a rate of 4% per year indefinitely. If the last dividend was $4 and the required return is 10%, what is the price of the stock?

Answer each of the following questions in detail:

a) The goal of incentive schemes is to increase productivity of employees, as well as, result in enhanced earnings to the organization. If you were asked to design an incentive scheme for a mid-sized organization working in the Manufacturing space, what are the key points that you would consider? Discuss any seven of them.

b) Assume you are a CEO of an organization. List and describe six methods that you would leverage on to keep the culture of the organization alive.

c) Your manager has asked you to think through and arrive at alternatives to performance appraisal. Discuss any 7 alternatives that you would suggest.

d) You are an internal organizational development consultant for a project in your organization, which has a powerful union and have trouble gaining support for change intervention. Describe any 6 methods that you would make use to overcome this resistance to change.

e) ‘Technology is a job stealer” What are your views on this? Reflect and illustrate with 3 examples. [5 x 8 = 40 Marks]