On December 31, 2018 the balance in Energy Exploration Company's Unearned Revenue account was a credit of
$7,000. In January, 2019, the company received an advance payment of $13,000 from a new customer for services to be performed. By January 31, adjustments were made to recognize $6,000 of the revenue that had been earned during January. What was the balance in Unearned Revenue on January 31, 2019?
A.$14,000credit
B.$6,000credit
C.$13,000 debit
D.$7,000 credit
In: Accounting
A company uses an A. B, C classification system. The annual revenue from the 43 A items is $812,000, the annual revenue from the 164 B items is $257,000 and the annual revenue from the 511 C items is
$52,000. Which items should be cycle counted most often?
The 511 C items
The 43 A items
The 164 B items
Do not favor any of the items. All items should be cycle counted the same amount
In: Operations Management
I. You have studied the chapters on unemployment and business cycles. Please review those chapters before you answer this question
a) Find the time series data (quarterly or monthly) on the unemployment rate, inflation rate and real GDP growth in the U.S. from 1980 to 2005, and discuss whether the Okun’s Law is valid or not. Then, discuss whether the Phillips curve exists in the U.S. economy( you have to report your data source and or the website).
b) Which recession is most severe in terms of its depth and the duration of unemployment?
c) Why unemployment rises when the economic is recovering? what kinds of unemployment is it ?
II. Monetary policy will have different impact on the equilibrium rate of interest and GDP. Try to draw three different IS curves with different slopes and show
a) The different impact of the same easy money policy on interest rate and GDP in these different IS curves
b) Monetary policy is most effective under what conditions ( which IS curve). Why ?
c) What determine the slopes of IS curve. Review chapter 14 on sticky price and flexible price model to answer the percentage distribution of both types of firms ,i.e. s vs ( 1-s) under different IS curves( hint : refer to the equations on. P. 408 and p. 411 that
P=EP+{( 1-s)/a/s} ( ( Y-Y bar) p. 408 Y= Y bar + alpha ( P-EP). P. 411
| Year | Growth | Unemployment | Inflation | Business Cycle |
|---|---|---|---|---|
| 1929 | NA | 3.2% | 0.6% | Aug peak and Oct. market crash |
| 1930 | -8.5% | 8.7% | -6.4% | Contraction |
| 1931 | -6.4% | 15.9% | -9.3% | Contraction |
| 1932 | -12.9% | 23.6% | -10.3% | Contraction |
| 1933 | -1.2% | 24.9% | 0.8% | New Deal and March trough |
| 1934 | 10.8% | 21.7% | 1.5% | Expansion |
| 1935 | 8.9% | 20.1% | 3% | Expansion |
| 1936 | 12.9% | 16.9% | 1.4% | Expansion |
| 1937 | 5.1% | 14.3% | 2.9% | May peak |
| 1938 | -3.3% | 19% | -2.8% | June trough |
| 1939 | 8% | 17.2% | 0% | Expansion and Dust Bowl ended |
| 1940 | 8.8% | 14.6% | 0.7% | |
| 1941 | 17.7% | 9.9% | 9.9% | Expansion and WWII |
| 1942 | 18.9% | 4.7% | 9% | Expansion |
| 1943 | 17% | 1.9% | 3% | Expansion |
| 1944 | 8% | 1.2% | 2.3% | Bretton-Woods |
| 1945 | -1% | 1.9% | 2.2% | Feb. peak, recession, Oct. trough |
| 1946 | -11.6% | 3.9% | 18.1% | Expansion and Fed cuts |
| 1947 | -1.1% | 3.9% | 8.8% | Marshall Plan and Cold War |
| 1948 | 4.1% | 4% | 3% | Nov. peak |
| 1949 | -0.6% | 6.6% | -2.1% | Oct. trough and NATO |
| 1950 | 8.7% | 4.3% | 5.9% | Expansion and Korean War |
| 1951 | 8% | 3.1% | 6% | Expansion |
| 1952 | 4.1% | 2.7% | 0.8% | Expansion |
| 1953 | 4.7% | 4.5% | 0.7% | War ended and July peak |
| 1954 | -0.6% | 5% | -0.7% | May trough, Dow at 1929 level |
| 1955 | 7.1% | 4.2% | 0.4% | Expansion |
| 1956 | 2.1% | 4.2% | 3% | Expansion |
| 1957 | 2.1% | 5.2% | 2.9% | Aug peak |
| 1958 | -0.7% | 6.2% | 1.8% | April trough |
| 1959 | 6.9% | 5.3% | 1.7% | Fed raised rates |
| 1960 | 2.6% | 6.6% | 1.4% | April peak and Fed cut |
| 1961 | 2.6% | 6% | 0.7% | JFK spending and Feb. trough |
| 1962 | 6.1% | 5.5% | 1.3% | Cuban Missile Crisis |
| 1963 | 4.4% | 5.5% | 1.6% | LBJ spending, Fed raised rate |
| 1964 | 5.8% | 5% | 1% | Fed raised rate |
| 1965 | 6.5% | 4% | 1.9% | Vietnam War, Fed raised rate |
| 1966 | 6.6% | 3.8% | 3.5% | Expansion, Fed raised rate |
| 1967 | 2.7% | 3.8% | 3% | Expansion |
| 1968 | 4.9% | 3.4% | 4.7% | Fed raised rate |
| 1969 | 3.1% | 3.5% | 6.2% | Nixon, Fed raised rate, Dec. peak |
| 1970 | 0.2% | 6.1% | 5.6% | Nov. trough, Fed cut rate |
| 1971 | 3.3% | 6% | 3.3% | Expansion and Wage-price controls |
| 1972 | 5.3% | 5.2% | 3.4% | Expansion |
| 1973 | 5.6% | 4.9% | 8.7% | Vietnam War and gold standard ended, Nov. peak. |
| 1974 | -0.5% | 7.2% | 12.3% | Stagflation, Watergate, Fed raised rate |
| 1975 | -0.2% | 8.2% | 6.9% | March trough, Fed cut rate |
| 1976 | 5.4% | 7.8% | 4.9% | Expansion, Fed cut rate |
| 1977 | 4.6% | 6.4% | 6.7% | Carter |
| 1978 | 5.5% | 6% | 9% | Fed raised rate |
| 1979 | 3.2% | 6% | 13.3% | Fed raised then lowered rate |
| 1980 | -0.3% | 7.2% | 12.5% | Jan. peak, Fed raised rate, July trough |
| 1981 | 2.5% | 8.5% | 8.9% | Reagan, Expansion peaked in July |
| 1982 | -1.8% | 10.8% | 3.8% | Nov. trough, Fed cut rate |
| 1983 | 4.6% | 8.3% | 3.8% | Reagan spent on defense |
| 1984 | 7.2% | 7.3% | 3.9% | Expansion |
| 1985 | 4.2% | 7% | 3.8% | Expansion |
| 1986 | 3.5% | 6.6% | 1.1% | Reagan cut taxes |
| 1987 | 3.5% | 5.7% | 4.4% | Black Monday |
| 1988 | 4.2% | 5.3% | 4.4% | Expansion, Fed raised rate |
| 1989 | 3.7% | 5.4% | 4.6% | S&L Crisis |
| 1990 | 1.9% | 6.3% | 6.1% | July peak |
| 1991 | -0.1% | 7.3% | 3.1% | March trough |
| 1992 | 3.5% | 7.4% | 2.9% | Expansion, Fed cut rate |
| 1993 | 2.8% | 6.5% | 2.7% | Expansion |
| 1994 | 4% | 5.5% | 2.7% | Expansion |
| 1995 | 2.7% | 5.6% | 2.5% | Fed raised rate |
| 1996 | 3.8% | 5.4% | 3.3% | Fed cut rate |
| 1997 | 4.4% | 4.7% | 1.7% | Fed raised rate |
| 1998 | 4.5% | 4.4% | 1.6% | LTCM crisis |
| 1999 | 4.8% | 4% | 2.7% | Expansion |
| 2000 | 4.1% | 3.9% | 3.4% | Expansion |
| 2001 | 1% | 5.7% | 1.6% | March peak, 9/11, and Nov. trough |
| 2002 | 1.7% | 6% | 2.4% | Expansion |
| 2003 | 2.9% | 5.7% | 1.9% | JGTRRA |
| 2004 | 3.8% | 5.4% | 3.3% | Expansion |
| 2005 | 3.5% | 4.9% | 3.4% | Expansion |
| 2006 | 2.7% | 4.4% | 2.5% | Expansion |
In: Economics
The information in the shows company sizes and sector.
Company Size
|
A (Small) |
B (Medium) |
C (Large) |
Total |
||
|
X (Mining) |
6 |
10 |
9 |
25 |
|
|
Sector |
Y (Warehouse) |
23 |
7 |
18 |
48 |
|
Z (Agriculture) |
15 |
8 |
4 |
27 |
|
|
Total |
44 |
25 |
31 |
100 |
|
b. From the contingency table, state any two non-mutually and two
mutually exclusive events.
c. Calculate the following probabilities:
i. That the company selected randomly is in the mining sector.
ii. That the company selected is in warehousing and medium in size.
iii. That the company is in the agriculture or mining sector.
iv. That the company in in the mining sector or large in size.
d. Given that a company falls in the mining sector, calculate the
probability that the company is
large.
In: Statistics and Probability
Following are the 2019 income statements for Katy Com and Mike Com, competitors in the computer industry. Use these financial statements to answer the required.
|
Katy Com Income Statements |
|
(in millions) |
Sept. 24, 2019 |
Sept. 26, 2018 |
Sept. 27, 2017 |
|||
|
Net sales |
$215,639 |
$233,715 |
$182,795 |
|||
|
Cost of sales |
131,376 |
140,089 |
112,258 |
|||
|
Gross margin |
84,263 |
93,626 |
70,537 |
|||
|
Operating expenses |
||||||
|
Research and development |
10,045 |
8,067 |
6,041 |
|||
|
Selling, general and administrative |
14,194 |
14,329 |
11,993 |
|||
|
Total operating expenses |
24,239 |
22,396 |
18,034 |
|||
|
Operating income |
60,024 |
71,230 |
52,503 |
|||
|
Other income/(expense), net |
1,348 |
1,285 |
980 |
|||
|
Income before provision for income taxes |
61,372 |
72,515 |
53,483 |
|||
|
Provision for income taxes |
15,685 |
19,121 |
13,973 |
|||
|
Net income |
$ 45,687 |
$53,394 |
$39,510 |
|
Mike Com
Income Statements |
|
(in millions) |
June 30, 2019 |
June 30, 2018 |
June 30, 2017 |
|||
|
Revenue |
||||||
|
Product |
$61,502 |
$75,956 |
$72,948 |
|||
|
Service and other |
23,818 |
17,624 |
13,885 |
|||
|
Total revenue |
85,320 |
93,580 |
86,833 |
|||
|
Cost of revenue |
||||||
|
Product |
17,880 |
21,410 |
16,681 |
|||
|
Service and other |
14,900 |
11,628 |
10,397 |
|||
|
Total cost of revenue |
32,780 |
33,038 |
27,078 |
|||
|
Gross margin |
52,540 |
60,542 |
59,755 |
|||
|
Research and development |
11,988 |
12,046 |
11,381 |
|||
|
Sales and marketing |
14,697 |
15,713 |
15,811 |
|||
|
General and administrative |
4,563 |
4,611 |
4,677 |
|||
|
Impairment, integration, and restructuring |
1,110 |
10,011 |
127 |
|||
|
Operating income |
20,182 |
18,161 |
27,759 |
|||
|
Other income (expense), net |
(431 |
) |
346 |
61 |
||
|
Income before income taxes |
19,751 |
18,507 |
27,820 |
|||
|
Provision for income taxes |
2,953 |
6,314 |
5,746 |
|||
|
Net income |
$16,798 |
$12,193 |
$22,074 |
Required:
|
a. |
How do the two companies account for R&D expenditures? |
|
b. |
Katy’s and Mike's R&D expense includes many different types of costs. List three specific costs included in R&D expense on the income statement. |
|
c. |
Compare R&D expenses of the two companies. What trend do you notice in the R&D expenses of each company over time? (Hint: determine the common-size R&D amounts. Consider both direct R&D expenses as well as acquired R&D.) |
In: Accounting
A new form of cognitive therapy has been developed to treat the symptoms of depression. To determine the effectiveness of the treatment, one group of individuals was exposed to the experimental treatment (Treatment Group) and a second unique group was not exposed to the new treatment (Control Group). The values below represent the Beck Depression Inventory (BDI) scores for the groups. The BDI is a widely used tool for screening depression, and higher scores indicate higher reported levels of depression.
Treatment Group
14 14 14 15 15 17 17 18 18 19
20 20 20 21 22 23 23 23 24 26
26 26 26 27 27 28 28 29 30 30
Control Group
15 15 17 19 19 20 21 22 22 23
24 24 24 24 24 25 25 25 26 26
27 27 27 29 29 29 30 31 31 32
34 34
1. What is the mean BDI score for the treatment group?
2.What is the mean BDI score for the control group?
3.What is the sum of squared deviations for the Treatment Group?
4.What is the sum of squared deviations for the Control Group?
5.Conduct a hypothesis test to determine whether the sample data provide evidence for a difference in the respective populations. Use a two-tailed test and an alpha level of .05. Be sure to include all steps in the hypothesis testing process. Report your findings in the following format:
Step 1
Ho:
Step 2
Identify critical value
Step 3
Report pooled variance
Report error term
Report test statistic (t score)
Step 4
Make a decision
Please show your work step by step so I can understand please and
thank you! I will rate!
A new form of cognitive therapy has been developed to treat the symptoms of depression. To determine the effectiveness of the treatment, one group of individuals was exposed to the experimental treatment (Treatment Group) and a second unique group was not exposed to the new treatment (Control Group). The values below represent the Beck Depression Inventory (BDI) scores for the groups. The BDI is a widely used tool for screening depression, and higher scores indicate higher reported levels of depression.
Treatment Group
14 14 14 15 15 17 17 18 18 19
20 20 20 21 22 23 23 23 24 26
26 26 26 27 27 28 28 29 30 30
Control Group
15 15 17 19 19 20 21 22 22 23
24 24 24 24 24 25 25 25 26 26
27 27 27 29 29 29 30 31 31 32
34 34
1. What is the mean BDI score for the treatment group?
2.What is the mean BDI score for the control group?
3.What is the sum of squared deviations for the Treatment Group?
4.What is the sum of squared deviations for the Control Group?
5.Conduct a hypothesis test to determine whether the sample data provide evidence for a difference in the respective populations. Use a two-tailed test and an alpha level of .05. Be sure to include all steps in the hypothesis testing process. Report your findings in the following format:
Step 1
Ho:
Step 2
Identify critical value
Step 3
Report pooled variance
Report error term
Report test statistic (t score)
Step 4
Make a decision
Please show your work step by step so I can understand please and
thank you! I will rate!
In: Statistics and Probability
A new form of cognitive therapy has been developed to treat the symptoms of depression. To determine the effectiveness of the treatment, one group of individuals was exposed to the experimental treatment (Treatment Group) and a second unique group was not exposed to the new treatment (Control Group). The values below represent the Beck Depression Inventory (BDI) scores for the groups. The BDI is a widely used tool for screening depression, and higher scores indicate higher reported levels of depression.
Treatment Group
14 14 14 15 15 17 17 18 18 19
20 20 20 21 22 23 23 23 24 26
26 26 26 27 27 28 28 29 30 30
Control Group
15 15 17 19 19 20 21 22 22 23
24 24 24 24 24 25 25 25 26 26
27 27 27 29 29 29 30 31 31 32
34 34
1. What is the mean BDI score for the treatment group?
2.What is the mean BDI score for the control group?
3.What is the sum of squared deviations for the Treatment Group?
4.What is the sum of squared deviations for the Control Group?
5.Conduct a hypothesis test to determine whether the sample data provide evidence for a difference in the respective populations. Use a two-tailed test and an alpha level of .05. Be sure to include all steps in the hypothesis testing process. Report your findings in the following format:
Step 1
Ho:
Step 2
Identify critical value
Step 3
Report pooled variance
Report error term
Report test statistic (t score)
Step 4
Make a decision
Please show your work step by step so I can understand please and
thank you! I will rate!
A new form of cognitive therapy has been developed to treat the symptoms of depression. To determine the effectiveness of the treatment, one group of individuals was exposed to the experimental treatment (Treatment Group) and a second unique group was not exposed to the new treatment (Control Group). The values below represent the Beck Depression Inventory (BDI) scores for the groups. The BDI is a widely used tool for screening depression, and higher scores indicate higher reported levels of depression.
Treatment Group
14 14 14 15 15 17 17 18 18 19
20 20 20 21 22 23 23 23 24 26
26 26 26 27 27 28 28 29 30 30
Control Group
15 15 17 19 19 20 21 22 22 23
24 24 24 24 24 25 25 25 26 26
27 27 27 29 29 29 30 31 31 32
34 34
1. What is the mean BDI score for the treatment group?
2.What is the mean BDI score for the control group?
3.What is the sum of squared deviations for the Treatment Group?
4.What is the sum of squared deviations for the Control Group?
5.Conduct a hypothesis test to determine whether the sample data provide evidence for a difference in the respective populations. Use a two-tailed test and an alpha level of .05. Be sure to include all steps in the hypothesis testing process. Report your findings in the following format:
Step 1
Ho:
Step 2
Identify critical value
Step 3
Report pooled variance
Report error term
Report test statistic (t score)
Step 4
Make a decision
Please show your work step by step so I can understand please and
thank you! I will rate!
In: Statistics and Probability
Results – This includes analysis, interpretation, and discussion of the findings in light of the research objectives. (4 points)
This section should include: - Creating the Customer Value Proposition i.e. benefits you are focusing on. - What makes your company different? - The focus on delivering customer solutions. - How to focus on building long-term relationships with customers. ( the company is Qatar Neon Company )
In: Economics
Where does the company compete? What is the market? Don't just list the obvious, think about offshoots of their core business and define them all.
What is your company's value proposition? What does it mean to customers?
What assets and competencies does your company appear to have?
Define at least 1 functional area strategy or program of the company
In: Operations Management
Looking to find what area needs to be focused on that is statistically significant
| Dine In (1)/Take Out (2) | Satisfaction with Service | Satisfaction with Food | Driving Distance to Restaurant | Total Bill | Overall Satisfaction |
| 1 | 4 | 4 | 5 | 10 | 4 |
| 1 | 2 | 3 | 5 | 15 | 3 |
| 1 | 3 | 3 | 10 | 10 | 3 |
| 1 | 5 | 5 | 12 | 15 | 5 |
| 2 | 3 | 4 | 10 | 25 | 3 |
| 2 | 2 | 4 | 15 | 25 | 3 |
| 2 | 3 | 4 | 10 | 26 | 3 |
| 1 | 4 | 3 | 16 | 27 | 3 |
| 2 | 3 | 3 | 2 | 25 | 3 |
| 1 | 2 | 3 | 10 | 26 | 2 |
| 2 | 1 | 3 | 15 | 20 | 2 |
| 2 | 2 | 2 | 10 | 20 | 2 |
| 1 | 5 | 4 | 12 | 20 | 4 |
| 1 | 4 | 5 | 16 | 20 | 4 |
| 1 | 4 | 5 | 18 | 20 | 4 |
| 1 | 3 | 4 | 20 | 27 | 3 |
| 1 | 4 | 3 | 18 | 28 | 4 |
| 2 | 3 | 4 | 20 | 28 | 3 |
| 2 | 3 | 4 | 16 | 28 | 3 |
| 1 | 4 | 5 | 7 | 12 | 4 |
| 2 | 4 | 5 | 9 | 20 | 4 |
| 1 | 2 | 3 | 10 | 24 | 3 |
| 2 | 3 | 5 | 6 | 26 | 4 |
| 2 | 3 | 4 | 10 | 28 | 3 |
| 1 | 3 | 4 | 9 | 27 | 3 |
| 2 | 4 | 5 | 8 | 24 | 4 |
| 2 | 3 | 3 | 10 | 22 | 3 |
| 1 | 4 | 4 | 6 | 23 | 4 |
| 2 | 3 | 4 | 10 | 25 | 4 |
| 1 | 4 | 5 | 10 | 20 | 4 |
| 2 | 2 | 3 | 15 | 20 | 2 |
| 2 | 2 | 2 | 16 | 20 | 2 |
| 1 | 4 | 4 | 18 | 20 | 4 |
| 2 | 3 | 2 | 16 | 20 | 3 |
| 2 | 3 | 3 | 14 | 25 | 3 |
| 1 | 3 | 3 | 20 | 22 | 3 |
| 1 | 3 | 3 | 16 | 23 | 3 |
| 1 | 4 | 5 | 17 | 28 | 4 |
| 2 | 3 | 3 | 16 | 23 | 3 |
| 2 | 3 | 4 | 5 | 15 | 3 |
| 1 | 4 | 4 | 10 | 28 | 4 |
| 2 | 3 | 3 | 6 | 24 | 3 |
| 2 | 2 | 3 | 10 | 27 | 2 |
| 1 | 3 | 3 | 6 | 26 | 3 |
| 2 | 4 | 4 | 7 | 28 | 4 |
| 1 | 2 | 3 | 6 | 24 | 2 |
| 2 | 4 | 5 | 8 | 22 | 4 |
| 1 | 4 | 5 | 6 | 23 | 4 |
| 1 | 5 | 5 | 8 | 20 | 5 |
In: Statistics and Probability