The project is about airline revenue and the factors that impact it. All the knowledge you obtain in chapter 4, is enough to do the project.
Revenue of an airline is influenced by several factors, including fuel cost, employees’ salary, operating expenses, maintenance costs, fleet size, available seats. This project aims to find out the influence of some of these factors on revenue for U.S. airline industry for the period of 11 years.
In airline industry one of the variables that represent revenue is “Revenue Passenger mile”.
Attached is the data (revenue passenger mile, fuel cost, salary cost and seat available” of some U.S. airlines for the period of 2005 till 2015. Data has been collected from The Bureau of Transportation Statistics (BTS) database.
Each team should use regression tool to interpret the relation between revenue of airlines and the above mention factors for each year.
Each team should run a regression for each year separately, write the regression equations for each year and compare in which year each of these three factors impacts revenue the most and the least.
Finally, run the regression for whole the period and write the equation line for all observation and interpret the result in terms of the positive/negative influence of factors on revenue.
|
year |
quarter | carrier_name | Fuel cost (000,000) | Salary (000,000) | Average seat miles (000,000) | Revenue Passenger mile (000,000) | |
| 2014 | 1 | American Airlines Inc. | 1,820.97 | 1,477.69 | 76,592.08 | 10,582.29 | |
| 2014 | 2 | American Airlines Inc. | 1,848.52 | 1,519.84 | 79,271.84 | 11,496.72 | |
| 2014 | 3 | American Airlines Inc. | 1,840.16 | 1,495.73 | 80,899.81 | 11,622.45 | |
| 2014 | 4 | American Airlines Inc. | 1,482.13 | 1,496.97 | 78,433.03 | 10,982.28 | |
| 2014 | 1 | Alaska Airlines Inc. | 318.06 | 263.62 | 14,992.37 | 1,963.35 | |
| 2014 | 2 | Alaska Airlines Inc. | 337.92 | 276.94 | 16,192.17 | 2,171.61 | |
| 2014 | 3 | Alaska Airlines Inc. | 350.36 | 273.78 | 17,216.43 | 2,289.97 | |
| 2014 | 4 | Alaska Airlines Inc. | 276.79 | 303.86 | 16,468.02 | 2,116.65 | |
| 2014 | 1 | JetBlue Airways | 463.85 | 349.19 | 20,852.08 | 2,616.91 | |
| 2014 | 2 | JetBlue Airways | 497.26 | 335.01 | 22,779.28 | 2,912.92 | |
| 2014 | 3 | JetBlue Airways | 518.04 | 337.32 | 23,528.60 | 3,064.00 | |
| 2014 | 4 | JetBlue Airways | 435.77 | 350.32 | 22,896.31 | 2,844.41 | |
| 2014 | 1 | Delta Air Lines Inc. | 2,191.20 | 2,102.26 | 94,711.96 | 13,460.82 | |
| 2014 | 2 | Delta Air Lines Inc. | 2,435.70 | 2,425.81 | 109,550.43 | 16,047.02 | |
| 2014 | 3 | Delta Air Lines Inc. | 2,605.49 | 2,497.92 | 117,821.87 | 17,312.32 | |
| 2014 | 4 | Delta Air Lines Inc. | 2,089.33 | 2,334.80 | 102,385.74 | 14,608.75 | |
| 2014 | 1 | Frontier Airlines Inc. | 110.70 | 66.88 | 5,492.58 | 717.32 | |
| 2014 | 2 | Frontier Airlines Inc. | 129.78 | 66.32 | 6,194.93 | 835.44 | |
| 2014 | 3 | Frontier Airlines Inc. | 141.63 | 73.47 | 6,775.41 | 925.54 | |
| 2014 | 4 | Frontier Airlines Inc. | 114.90 | 74.24 | 6,615.24 | 867.83 | |
| 2014 | 1 | Hawaiian Airlines Inc. | 166.33 | 113.86 | 8,088.18 | 1,110.26 | |
| 2014 | 2 | Hawaiian Airlines Inc. | 169.00 | 119.24 | 8,530.87 | 1,184.51 | |
| 2014 | 3 | Hawaiian Airlines Inc. | 175.91 | 120.65 | 9,003.61 | 1,308.91 | |
| 2014 | 4 | Hawaiian Airlines Inc. | 145.62 | 118.92 | 8,532.93 | 1,234.26 | |
| 2014 | 1 | United Air Lines Inc. | 2,253.93 | 2,195.92 | 99,562.00 | 13,853.59 | |
| 2014 | 2 | United Air Lines Inc. | 2,441.23 | 2,247.32 | 110,370.32 | 15,940.16 | |
| 2014 | 3 | United Air Lines Inc. | 2,450.90 | 2,402.58 | 113,818.75 | 16,561.66 | |
| 2014 | 4 | United Air Lines Inc. | 1,896.06 | 2,303.82 | 104,371.59 | 14,803.13 | |
| 2014 | 1 | US Airways Inc. | 817.31 | 756.68 | 37,064.68 | 4,850.37 | |
| 2014 | 2 | US Airways Inc. | 910.87 | 763.02 | 42,721.22 | 5,714.15 | |
| 2014 | 3 | US Airways Inc. | 901.44 | 765.47 | 42,797.10 | 5,651.65 | |
| 2014 | 4 | US Airways Inc. | 667.42 | 713.33 | 37,242.14 | 4,814.87 | |
| 2014 | 1 | Southwest Airlines Co. | 1,261.24 | 1,340.00 | 55,173.46 | 7,125.78 | |
| 2014 | 2 | Southwest Airlines Co. | 1,371.67 | 1,472.42 | 63,036.28 | 6,903.57 | |
| 2014 | 3 | Southwest Airlines Co. | 1,334.88 | 1,435.34 | 63,874.25 | 6,650.69 | |
| 2014 | 4 | Southwest Airlines Co. | 1,114.16 | 1,459.30 | 63,421.77 | 8,022.97 | |
| 2015 | 1 | American Airlines Inc. | 1,031.03 | 1,671.86 | 75,923.24 | 10,511.24 | |
| 2015 | 2 | American Airlines Inc. | 1,149.26 | 1,630.39 | 81,625.00 | 11,659.20 | |
| 2015 | 3 | American Airlines Inc. | 1,532.77 | 2,545.34 | 126,914.65 | 18,111.60 | |
| 2015 | 4 | American Airlines Inc. | 1,242.05 | 2,520.90 | 116,283.51 | 16,293.81 | |
| 2015 | 1 | Alaska Airlines Inc. | 204.36 | 297.90 | 16,695.77 | 2,140.22 | |
| 2015 | 2 | Alaska Airlines Inc. | 234.47 | 303.97 | 17,970.06 | 2,358.63 | |
| 2015 | 3 | Alaska Airlines Inc. | 206.33 | 306.99 | 18,559.50 | 2,451.66 | |
| 2015 | 4 | Alaska Airlines Inc. | 185.06 | 323.65 | 18,609.47 | 2,359.06 | |
| 2015 | 1 | JetBlue Airways | 334.82 | 396.63 | 22,851.64 | 2,908.46 | |
| 2015 | 2 | JetBlue Airways | 371.35 | 396.36 | 24,485.83 | 3,166.36 | |
| 2015 | 3 | JetBlue Airways | 342.23 | 411.56 | 25,991.41 | 3,344.58 | |
| 2015 | 4 | JetBlue Airways | 299.38 | 423.21 | 25,365.14 | 3,173.57 | |
| 2015 | 1 | Delta Air Lines Inc. | 2,423.97 | 2,275.25 | 100,342.79 | 14,031.82 | |
| 2015 | 2 | Delta Air Lines Inc. | 2,177.48 | 2,648.54 | 114,687.64 | 16,430.01 | |
| 2015 | 3 | Delta Air Lines Inc. | 1,719.52 | 2,884.14 | 122,547.57 | 17,751.82 | |
| 2015 | 4 | Delta Air Lines Inc. | 1,524.08 | 2,637.46 | 103,295.93 | 14,876.51 | |
| 2015 | 1 | Frontier Airlines Inc. | 83.79 | 74.48 | 6,865.15 | 871.44 | |
| 2015 | 2 | Frontier Airlines Inc. | 95.51 | 67.14 | 7,678.22 | 986.09 | |
| 2015 | 3 | Frontier Airlines Inc. | 84.16 | 65.28 | 7,887.85 | 1,039.46 | |
| 2015 | 4 | Frontier Airlines Inc. | 70.31 | 106.19 | 8,559.76 | 1,121.54 | |
| 2015 | 1 | Hawaiian Airlines Inc. | 106.96 | 125.60 | 8,443.48 | 1,195.99 | |
| 2015 | 2 | Hawaiian Airlines Inc. | 107.87 | 131.09 | 8,863.41 | 1,245.18 | |
| 2015 | 3 | Hawaiian Airlines Inc. | 101.53 | 132.12 | 9,326.04 | 1,324.22 | |
| 2015 | 4 | Hawaiian Airlines Inc. | 84.45 | 136.89 | 8,769.90 | 1,260.02 | |
| 2015 | 1 | United Air Lines Inc. | 1,324.81 | 2,358.19 | 100,228.00 | 14,183.53 | |
| 2015 | 2 | United Air Lines Inc. | 1,555.46 | 2,562.83 | 114,082.60 | 16,255.15 | |
| 2015 | 3 | United Air Lines Inc. | 1,402.04 | 2,603.53 | 117,983.54 | 17,112.84 | |
| 2015 | 4 | United Air Lines Inc. | 1,108.57 | 2,489.05 | 107,618.57 | 15,378.46 | |
| 2015 | 1 | Southwest Airlines Co. | 833.83 | 1,490.22 | 64,668.39 | 8,178.52 | |
| 2015 | 2 | Southwest Airlines Co. | 957.47 | 1,685.52 | 73,038.10 | 7,915.15 | |
| 2015 | 3 | Southwest Airlines Co. | 889.48 | 1,775.64 | 72,807.00 | 7,871.24 | |
| 2015 | 4 | Southwest Airlines Co. | 753.80 | 1,738.04 | 70,828.09 |
9,374.66 |
In: Operations Management
1. The accounting equation is defined as: a. Common Stock + Retained Earnings = Stockholders’ Equity. b. Revenues - Expenses = Net Income. c. Revenues - Expenses - Dividends = Retained Earnings. d. Assets = Liabilities + Stockholders’ Equity.
2. On January 1, Art Inc. started the year with a $492,000 balance in Retained Earnings and a $605,000 balance in Common Stock. During the year, the company earned net income of $92,000, paid a dividend of $15,200, and issued more common stock for $27,500. What is total stockholders' equity at the end of the year? a. $1,231,700. b. $1,097,000. c. $1,201,300. d. $1,588,300.
3. Which financial statement is typically prepared first? a. Balance sheet. b. Income statement. c. Statement of stockholders’ equity. d. Statement of cash flows.
4. Which of the following would increase assets and increase liabilities? a. Provide services to customers on account. b. Purchase office supplies on account. c. Pay dividends to stockholders. d. Receive a utility bill but do not pay it immediately. 2 / 10
5. The Unearned Revenue account is shown in which statement? a. Income statement. b. Statement of cash flows. c. Balance sheet. d. Statement of stockholders’ equity.
6. Consider the following accounts: Utility Expense Accounts Payable Service Revenue Common Stock How many of these accounts are increased with credits? a. One. b. Two. c. Three. d. Four.
7. Schooner Inc. purchased equipment by signing a note payable. This transaction would be recorded as: a. Debit Equipment, credit Cash. b. Debit Cash, credit Notes Payable. c. Debit Notes Payable, credit Equipment. d. Debit Equipment, credit Notes Payable.
8. Air France collected cash on February 4 from the sale of a ticket to a customer on January 26. The flight took place on April 5. According to the revenue recognition principle, in which month should Air France have recognized this revenue? a. January. b. February. c. April. d. Evenly in each of the three months.
9. Which of the following regarding adjusting entries is correct? a. Adjusting entries are recorded for all external transactions. b. Adjusting entries are recorded to make sure all cash inflows and outflows are recorded in the current period. c. Adjusting entries are needed because we use accrual-basis accounting. d. After adjusting entries, all temporary accounts should have a balance of zero. 3 / 10
10. An adjusted trial balance: a. Is a list of all accounts and their balances after adjusting entries. b. Is a list of all accounts and their balances before adjusting entries. c. Is a list of all accounts and their balances after closing entries. d. Is a trial balance adjusted for cash-basis accounting.
In: Accounting
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
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
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
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