(Question 7)
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Drakou, Kambitsis, Charachousou, and Tzetzis (2006) tested differences in life satisfaction among sport coaches. They tested differences by gender, age, marital status, and education. The results of each F-test in the following table are similar to the way in which the data were given in their article.
| Independent Variables |
Life Satisfaction | |||
|---|---|---|---|---|
| M | SD | F | p | |
| Gender | 0.68 | 0.409 | ||
| Men | 3.99 | 0.51 | ||
| Women | 3.94 | 0.49 | ||
| Age | 3.04 | 0.029 | ||
| 20s | 3.85 | 0.42 | ||
| 30s | 4.03 | 0.52 | ||
| 40s | 3.97 | 0.57 | ||
| 50s | 4.02 | 0.50 | ||
| Marital status | 12.46 | 0.000 | ||
| Single | 3.85 | 0.48 | ||
| Married | 4.10 | 0.50 | ||
| Divorced | 4.00 | 0.35 | ||
| Education | 0.82 | 0.536 | ||
| High school | 3.92 | 0.48 | ||
| Postsecondary | 3.85 | 0.54 | ||
| University degree | 4.00 | 0.51 | ||
| Masters | 4.00 | 0.59 | ||
(a) Which factors were significant at a 0.05 level of significance? (Select all that apply.)
age
marital status
gender
education
(b) State the number of levels for each factor.
| gender | levels | |
| age | levels | |
| marital status | levels | |
| education | levels |
In: Statistics and Probability
| Post the following transactions to the T-Accounts, then prepare 12/31/2006 | |||||||
| Balance Sheet, Income Statement, Statement of Retained Earnings, and | |||||||
| Statement of Cash Flow. | |||||||
| 1/7/06 | Collected $80,000 on Accounts Receivable | ||||||
| 1/15/06 | Sold an additional 100,000 shares at $5 per share | ||||||
| 2/1/06 | Made a sale of $90,000 on account. Cost of inventory sold was $65,000 | ||||||
| 2/15/06 | Bought merchandise inventory for $70,000 cash | ||||||
| 3/1/06 | Paid vendors $16,000 cash on Accounts Payable | ||||||
| 6/30/06 | Made payment of $25,000 on Notes Payable | ||||||
| 7/1/06 | Purchased $10,000 worth of store equipment for Cash. | ||||||
| 11/30/06 | Made a sale of merchandise for $50,000 cash which reduced inventory $30,000 | ||||||
| 12/15/06 | Declared and paid a $20,000 dividend to shareholders | ||||||
| 12/31/06 | Recorded $3,000 Rent Income from Unearned Income | ||||||
| 12/31/06 | Recorded Depreciation for year on equipment of $1,000 | ||||||
| 12/31/06 | Recorded expiration of 1-year prepaid rent expense for $2,000 | ||||||
| 12/31/06 | Sold equipment for $1,000 cash which cost $1,000 when purchased new. | ||||||
| The equipment was sold before recording any depreciation | |||||||
In: Accounting
BONDS – Problem
Huskies Corp. issued 9-year $750,000 bond on January 1, 2006 with coupon rate of 10%. The bond pays interest semiannually every June 30 and December 31, with the principal to be paid at the end of year 9. The effective market interest rate at the issuance date is 8%.
a. Calculate the proceeds and show clearly what you use for RATE, NPER, PMT, FV ?
b. What journal entry was recorded at issuance?
c. What annual coupon rate would Huskies have to offer in order to obtain total proceeds of $750,000 on the issuance of these bonds
d. UNRELATED to above. Labradors Inc. repurchased the bond which has been issued several years ago and which has a Face Value of $800,000 and unamortized premium of $42,000. The bond was repurchased at 106. Record the journal entry that the company made when it repurchased the bond.
In: Finance
A pediatrician wants to determine the relation that may exist between a child's height and head circumference. She randomly selects 5 children and measures their height and head circumference. The data are summarized below. Complete parts (a) through (f) below. Height (inches), x 27.75 26.75 27 25 27.5 Head Circumference (inches), y 17.6 17.3 17.5 16.9 17.5 (a) Treating height as the explanatory variable, x, use technology to determine the estimates of beta 0 and beta 1. beta 0almost equalsb 0equals nothing (Round to four decimal places as needed.) beta 1almost equalsb 1equals nothing (Round to four decimal places as needed.)
In: Statistics and Probability
How do women and men compare in the pursuit of academic degrees? The table below present counts (in thousands) from the Statistical Abstract of degrees earned in 1996 categorized by the level of the degree and the sex of the recipient.
Bachelor Master Professional Doctorate Totals
Female 642 227 32 18
Male 522 179 45 27
Totals
i. Explain why sex is the independent variable.
j. Describe the differences in degree distribution between men and women. Use appropriate percentages.
k. Are these differences significant? Use an appropriate statistical test (with ? = 0.01) to determine whether sex and academic degree are independent.
l. Find lambda for this table. What does this tell us?
In: Statistics and Probability
Personal daily usage of water in Zambia has been found
to be normally
distributed with a mean of 24 litres a variance of 39 litres.
i. What percentage of the population uses more than 33
litres?
ii. What percentage of the population uses between 16 and 27
litres?
iii. What is the probability of finding a person who uses less
than
12 litres?
iv. As there is always a shortage of water in Zambia, the
Finance
Minister has decided to give a tax rebate to the 22% of the
population who use the least amount of water. What should
the Finance Minister set as the maximum water usage for a
person to qualify for a tax rebate?
In: Statistics and Probability
True or false
7. Market analysis determines the profit contributed by market
segments of a company and can be analyzed using sales, cost and
expenses.......
18. in preparing an operating budget, generally the sales budget
begins the process because it estimates the expected level of
sales.....
27. A favorable variance is when the actual is greater than
standard.........
29. the total manufacturing cost variance is the difference between
the total standard costs and the total actual cost for the units
produced.......
45. Total variable cost remain the same in total dollar
amount........
48. the margin of safety indicates how much sales must decrease
before an operating loss occurs.......
In: Accounting
Do heavier cars really use more gasoline? suppose a car is chosen at random. Let x be the weight of the car (in hundreds of pounds) and let y be the miles per gallon (mpg). The following information is based on data taken from consumer reports (Vol. 62, No.4). This correlation coefficient r indicates a ____ correlation between the weight of the car and the miles per gallon
| X | 27 | 44 | 32 | 47 | 23 | 40 | 34 | 52 |
| Y | 30 | 19 | 24 | 13 | 29 | 17 | 21 | 14 |
Choose the correct answer:
A.) Positive strong
B.) Negative week
C.) Negative strong
D.) Negative moderate
In: Statistics and Probability
Using the dataset below, test to see if there is a significant association between size of the houses sold and the state where they are sold
(a) State what test statistic would you use, calculate the test statistic, and the p-value and your conclusions
(b) Does the data set meet all the conditions for the testing? Please explain Note: Calculate test statistic by hand or load StatKey Chi-Sq Test for Association and use the Homes For Sale (Size by State) data set CA NJ NY PA Total Big 7 6 7 3 23 Not 23 24 23 27 97 Total 30 30 30 30 120
In: Statistics and Probability
A block of mass m = 2.5 kg is attached to a spring with spring constant k = 640 N/m. It is initially at rest on an inclined plane that is at an angle of θ = 27° with respect to the horizontal, and the coefficient of kinetic friction between the block and the plane is μk = 0.11. In the initial position, where the spring is compressed by a distance of d = 0.19 m, the mass is at its lowest position and the spring is compressed the maximum amount. Take the initial gravitational energy of the block as zero.
Question:
If the spring pushes the block up the incline, what distance, L in meters, will the block travel before coming to rest? The spring remains attached to both the block and the fixed wall throughout its motion?
In: Physics