Answer Parts A,B, and C please
4) Anton Decorators had the following selected balances in its accounts on March 1:
| Cash | $6,000 |
| Accounts Receivable | 2,000 |
| Supplies | 1,500 |
| Salary Payable | 1,000 |
| Unearned Revenue | 4,000 |
| Service Revenue | 9,000 |
| Salary Expense | 5,000 |
| Supplies Expense | 600 |
A. Draw these T-accounts, putting in the March 1 balances. (Hint: Accounts are expected to have positive balances.)
B. Write the journal entries for the following adjustments made on March 31. Post these entries to the T-accounts.
In: Accounting
Use the Housing Interest Rate database (see DATA at bottom of this question)
In this part using Housing Interest Rate database, the objective is to compare the variation in the FIXED_RATE between two periods; before 2000 and after year 2000.
I WILL GIVE YOU THUMBS UP AND EXCELLENT REVIEWS FOR HELP/GUIDANCE
WITH THIS. ANY HELP WILL BE GREATLY APPRECIATED! THANK YOU!
DATA:
| YEAR | MONTH | FIXED_RATE% | STARTS in $100 | # Houses SOLD |
| 1990 | 1 | 9.81 | 1551 | 45 |
| 1990 | 2 | 9.97 | 1437 | 50 |
| 1990 | 3 | 10.03 | 1289 | 58 |
| 1990 | 4 | 10.14 | 1248 | 52 |
| 1990 | 5 | 10.22 | 1212 | 50 |
| 1990 | 6 | 10.21 | 1177 | 50 |
| 1990 | 7 | 10.2 | 1171 | 46 |
| 1990 | 8 | 9.99 | 1115 | 46 |
| 1990 | 9 | 9.99 | 1110 | 38 |
| 1990 | 10 | 10.06 | 1014 | 37 |
| 1990 | 11 | 10.11 | 1145 | 34 |
| 1990 | 12 | 9.87 | 969 | 29 |
| 1991 | 1 | 9.75 | 798 | 30 |
| 1991 | 2 | 9.62 | 965 | 40 |
| 1991 | 3 | 9.45 | 921 | 51 |
| 1991 | 4 | 9.47 | 1001 | 50 |
| 1991 | 5 | 9.52 | 996 | 47 |
| 1991 | 6 | 9.49 | 1036 | 47 |
| 1991 | 7 | 9.49 | 1063 | 43 |
| 1991 | 8 | 9.52 | 1049 | 46 |
| 1991 | 9 | 9.33 | 1015 | 37 |
| 1991 | 10 | 9.1 | 1079 | 41 |
| 1991 | 11 | 8.77 | 1103 | 39 |
| 1991 | 12 | 8.58 | 1079 | 36 |
| 1992 | 1 | 8.35 | 1176 | 48 |
| 1992 | 2 | 8.46 | 1250 | 55 |
| 1992 | 3 | 8.65 | 1297 | 56 |
| 1992 | 4 | 8.71 | 1099 | 53 |
| 1992 | 5 | 8.68 | 1214 | 52 |
| 1992 | 6 | 8.52 | 1145 | 53 |
| 1992 | 7 | 8.28 | 1139 | 52 |
| 1992 | 8 | 8.09 | 1226 | 56 |
| 1992 | 9 | 7.92 | 1186 | 51 |
| 1992 | 10 | 7.92 | 1244 | 48 |
| 1992 | 11 | 8.06 | 1214 | 42 |
| 1992 | 12 | 8.18 | 1227 | 42 |
| 1993 | 1 | 8.08 | 1210 | 44 |
| 1993 | 2 | 7.86 | 1210 | 50 |
| 1993 | 3 | 7.67 | 1083 | 60 |
| 1993 | 4 | 7.56 | 1258 | 66 |
| 1993 | 5 | 7.48 | 1260 | 58 |
| 1993 | 6 | 7.48 | 1280 | 59 |
| 1993 | 7 | 7.34 | 1254 | 55 |
| 1993 | 8 | 7.24 | 1300 | 57 |
| 1993 | 9 | 7.08 | 1343 | 57 |
| 1993 | 10 | 6.93 | 1392 | 56 |
| 1993 | 11 | 6.99 | 1376 | 53 |
| 1993 | 12 | 7.2 | 1533 | 51 |
| 1994 | 1 | 7.19 | 1272 | 46 |
| 1994 | 2 | 7.14 | 1337 | 58 |
| 1994 | 3 | 7.32 | 1564 | 74 |
| 1994 | 4 | 7.68 | 1465 | 65 |
| 1994 | 5 | 8.15 | 1526 | 65 |
| 1994 | 6 | 8.33 | 1409 | 55 |
| 1994 | 7 | 8.36 | 1439 | 52 |
| 1994 | 8 | 8.5 | 1450 | 59 |
| 1994 | 9 | 8.5 | 1474 | 54 |
| 1994 | 10 | 8.64 | 1450 | 57 |
| 1994 | 11 | 8.79 | 1511 | 45 |
| 1994 | 12 | 8.9 | 1455 | 40 |
| 1995 | 1 | 9.06 | 1407 | 47 |
| 1995 | 2 | 8.96 | 1316 | 47 |
| 1995 | 3 | 8.82 | 1249 | 60 |
| 1995 | 4 | 8.6 | 1267 | 58 |
| 1995 | 5 | 8.3 | 1314 | 63 |
| 1995 | 6 | 7.88 | 1281 | 64 |
| 1995 | 7 | 7.76 | 1461 | 64 |
| 1995 | 8 | 7.88 | 1416 | 63 |
| 1995 | 9 | 7.82 | 1369 | 54 |
| 1995 | 10 | 7.71 | 1369 | 54 |
| 1995 | 11 | 7.63 | 1452 | 46 |
| 1995 | 12 | 7.51 | 1431 | 45 |
| 1996 | 1 | 7.28 | 1467 | 54 |
| 1996 | 2 | 7.24 | 1491 | 68 |
| 1996 | 3 | 7.47 | 1424 | 70 |
| 1996 | 4 | 7.82 | 1516 | 70 |
| 1996 | 5 | 8.05 | 1504 | 69 |
| 1996 | 6 | 8.17 | 1467 | 65 |
| 1996 | 7 | 8.27 | 1472 | 66 |
| 1996 | 8 | 8.19 | 1557 | 73 |
| 1996 | 9 | 8.2 | 1475 | 62 |
| 1996 | 10 | 8.12 | 1392 | 56 |
| 1996 | 11 | 7.92 | 1489 | 54 |
| 1996 | 12 | 7.77 | 1370 | 51 |
| 1997 | 1 | 7.87 | 1355 | 61 |
| 1997 | 2 | 7.87 | 1486 | 69 |
| 1997 | 3 | 7.91 | 1457 | 81 |
| 1997 | 4 | 8.1 | 1492 | 70 |
| 1997 | 5 | 8.14 | 1442 | 71 |
| 1997 | 6 | 8 | 1494 | 71 |
| 1997 | 7 | 7.79 | 1437 | 69 |
| 1997 | 8 | 7.69 | 1390 | 72 |
| 1997 | 9 | 7.69 | 1546 | 67 |
| 1997 | 10 | 7.57 | 1520 | 62 |
| 1997 | 11 | 7.5 | 1510 | 61 |
| 1997 | 12 | 7.41 | 1566 | 51 |
| 1998 | 1 | 7.24 | 1525 | 64 |
| 1998 | 2 | 7.19 | 1584 | 75 |
| 1998 | 3 | 7.19 | 1567 | 81 |
| 1998 | 4 | 7.21 | 1540 | 82 |
| 1998 | 5 | 7.21 | 1536 | 82 |
| 1998 | 6 | 7.2 | 1641 | 83 |
| 1998 | 7 | 7.13 | 1698 | 75 |
| 1998 | 8 | 7.09 | 1614 | 75 |
| 1998 | 9 | 6.97 | 1582 | 68 |
| 1998 | 10 | 6.82 | 1715 | 69 |
| 1998 | 11 | 6.85 | 1660 | 70 |
| 1998 | 12 | 6.88 | 1792 | 61 |
| 1999 | 1 | 6.89 | 1748 | 67 |
| 1999 | 2 | 6.92 | 1670 | 76 |
| 1999 | 3 | 7.01 | 1710 | 84 |
| 1999 | 4 | 7.05 | 1553 | 86 |
| 1999 | 5 | 7.09 | 1611 | 80 |
| 1999 | 6 | 7.34 | 1559 | 82 |
| 1999 | 7 | 7.59 | 1669 | 78 |
| 1999 | 8 | 7.79 | 1648 | 78 |
| 1999 | 9 | 7.87 | 1635 | 65 |
| 1999 | 10 | 7.87 | 1608 | 67 |
| 1999 | 11 | 7.87 | 1648 | 61 |
| 1999 | 12 | 7.9 | 1708 | 57 |
| 2000 | 1 | 8.08 | 1636 | 67 |
| 2000 | 2 | 8.27 | 1737 | 78 |
| 2000 | 3 | 8.31 | 1604 | 88 |
| 2000 | 4 | 8.27 | 1626 | 78 |
| 2000 | 5 | 8.35 | 1575 | 77 |
| 2000 | 6 | 8.43 | 1559 | 71 |
| 2000 | 7 | 8.29 | 1463 | 76 |
| 2000 | 8 | 8.16 | 1541 | 73 |
| 2000 | 9 | 8.03 | 1507 | 70 |
| 2000 | 10 | 7.95 | 1549 | 71 |
| 2000 | 11 | 7.85 | 1551 | 63 |
| 2000 | 12 | 7.68 | 1532 | 65 |
| 2001 | 1 | 7.31 | 1600 | 72 |
| 2001 | 2 | 7.13 | 1625 | 85 |
| 2001 | 3 | 7.06 | 1590 | 94 |
| 2001 | 4 | 7.09 | 1649 | 84 |
| 2001 | 5 | 7.18 | 1605 | 80 |
| 2001 | 6 | 7.21 | 1636 | 79 |
| 2001 | 7 | 7.21 | 1670 | 76 |
| 2001 | 8 | 7.13 | 1567 | 74 |
| 2001 | 9 | 6.97 | 1562 | 66 |
| 2001 | 10 | 6.76 | 1540 | 66 |
| 2001 | 11 | 6.67 | 1602 | 67 |
| 2001 | 12 | 6.89 | 1568 | 66 |
| 2002 | 1 | 7.02 | 1698 | 66 |
| 2002 | 2 | 6.98 | 1829 | 84 |
| 2002 | 3 | 6.98 | 1642 | 90 |
| 2002 | 4 | 7.11 | 1592 | 86 |
| 2002 | 5 | 6.99 | 1764 | 88 |
| 2002 | 6 | 6.87 | 1717 | 84 |
| 2002 | 7 | 6.72 | 1655 | 82 |
| 2002 | 8 | 6.53 | 1633 | 90 |
| 2002 | 9 | 6.36 | 1804 | 82 |
| 2002 | 10 | 6.23 | 1648 | 77 |
| 2002 | 11 | 6.2 | 1753 | 73 |
| 2002 | 12 | 6.21 | 1788 | 70 |
| 2003 | 1 | 6.09 | 1853 | 76 |
| 2003 | 2 | 6.02 | 1629 | 82 |
| 2003 | 3 | 5.9 | 1726 | 98 |
| 2003 | 4 | 5.9 | 1643 | 91 |
| 2003 | 5 | 5.74 | 1751 | 101 |
| 2003 | 6 | 5.5 | 1867 | 107 |
| 2003 | 7 | 5.53 | 1897 | 99 |
| 2003 | 8 | 5.88 | 1833 | 105 |
| 2003 | 9 | 6.19 | 1939 | 90 |
| 2003 | 10 | 6.05 | 1967 | 88 |
| 2003 | 11 | 6.06 | 2083 | 76 |
| 2003 | 12 | 6 | 2057 | 75 |
| 2004 | 1 | 5.92 | 1927 | 89 |
| 2004 | 2 | 5.85 | 1852 | 102 |
| 2004 | 3 | 5.71 | 2007 | 123 |
| 2004 | 4 | 5.72 | 1968 | 109 |
| 2004 | 5 | 6.07 | 1974 | 115 |
| 2004 | 6 | 6.25 | 1827 | 105 |
| 2004 | 7 | 6.26 | 1986 | 96 |
| 2004 | 8 | 6.1 | 2025 | 102 |
| 2004 | 9 | 5.9 | 1912 | 94 |
| 2004 | 10 | 5.91 | 2062 | 101 |
| 2004 | 11 | 5.89 | 1807 | 84 |
| 2004 | 12 | 5.9 | 2050 | 83 |
| 2005 | 1 | 5.9 | 2188 | 92 |
| 2005 | 2 | 5.9 | 2228 | 109 |
| 2005 | 3 | 5.98 | 1836 | 128 |
| 2005 | 4 | 6.09 | 2038 | 122 |
In: Statistics and Probability
|
Crovo Corporation uses customers served as its measure of activity. During December, the company budgeted for 39,000 customers, but actually served 41,000 customers. The company has provided the following data concerning the formulas used in its budgeting and its actual results for December: |
Data used in budgeting:
| Fixed element per month |
Variable element per customer |
|||||
| Revenue | $ | 2.50 | ||||
| Wages and salaries | $ | 20,000 | $ | 0.86 | ||
| Supplies | $ | 0 | $ | 0.51 | ||
| Insurance | $ | 7,000 | $ | 0.00 | ||
| Miscellaneous | $ | 3,000 | $ | 0.31 | ||
Actual results for December:
| Revenue | $ | 101,600 |
| Wages and salaries | $ | 50,000 |
| Supplies | $ | 19,010 |
| Insurance | $ | 9,000 |
| Miscellaneous | $ | 19,010 |
|
Required: |
|
Complete the report showing the company's revenue and spending variances for December. (Input all amounts as positive values. Leave no cells blank - be certain to enter "0" wherever required. Indicate the effect of each variance by selecting "F" for favorable, "U" for unfavorable, and "None" for no effect (i.e., zero variance). Omit the "$" sign in your response.) |
| Crovo Corporation Revenue and Spending Variances For the Month Ended December 31 |
||
| Revenue | $ | (Click to select) F None U |
| Expenses: | ||
| Wages and salaries | (Click to select) F None U | |
| Supplies | (Click to select) U F None | |
| Insurance | (Click to select) None U F | |
| Miscellaneous | (Click to select) None U F | |
| Total expense | (Click to select) None F U | |
| Net operating income | $ | (Click to select) U None F |
In: Accounting
An employee of a small software company in Minneapolis bikes to work during the summer months. He can travel to work using one of three routes and wonders whether the average commute times (in minutes) differ between the three routes. He obtains the following data after traveling each route for one week.
Route 1 30 26 34 34 32
Route 2 23 22 28 25 20
Route 3 27 29 24 30 27
Construct an ANOVA table. (Round intermediate calculations to at least 4 decimal places. Round "SS", "MS", "p-value" to 4 decimal places and "F" to 3 decimal places.)
a-2. At the 5% significance level, do the average commute times differ between the three routes. Assume that commute times are normally distributed.
Yes since the p-value is less than significance level.
No since the p-value is less than significance level.
No since the p-value is not less than significance level.
Yes since the p-value is not less than significance level.
b. Use Tukey’s HSD method at the 5% significance level to determine which routes' average times differ. (You may find it useful to reference the q table). (If the exact value for nT − c is not found in the table, use the average of corresponding upper & lower studentized range values. Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.)
| population mean difference | confidence interval | do the average times differ |
| uroute1-uroute2 | ||
| uroute1-uroute3 | ||
| uroute2-uroute3 |
In: Statistics and Probability
1. Suppose a fair, two-sided coin is flipped. If it comes up heads you receive $5. If it comes up tails you lose $1. The expected value of this lottery is (a) $2 (b) $3 (c) $4 (d) $5 (e) None of the above
2. An individual has a vNM utility function over money of u(x) = p3 x , where x is final wealth. She currently has $8 and can choose among the following three lotteries. Which lottery will she choose? • Lottery 1: Give up her $8 and face the gamble (0.1, 0.5, 0.4) over final wealth levels ($1, $8, $27). • Lottery 2: Keep her $8. • Lottery 3: Give up her $8 and face the gamble (0.2, 0.8,0.0) over final wealth levels ($1, $8, $27) (a) Lottery 1 (b) Lottery 2 (c) Lottery 3 (d) She is indifferent between the three lotteries.
3. An individual has a vNM utility function over money of u(x) = px, where x is final wealth. Assume the individual currently has $16. He is offered a lottery with three possible outcomes; he could gain an extra $9, lose $7, or not lose or gain anything. There is a 15% probability that he will win the extra $9. What probability, p, of losing $7 would make the individual indifferent between to play and to not play the lottery? (a) p = 0.15 (b) p = 1.08 (c) p = 0.415 (d) p = 0.05 (e) None of the above
In: Economics
Customers arrive at a grocery store at an average of 2.1 per
minute. Assume that the number of arrivals in a minute follows the
Poisson distribution. Provide answers to the following to 3 decimal
places.
Part a)
What is the probability that exactly two customers arrive in a
minute?
Part b)
Find the probability that more than three customers arrive in a
two-minute period.
Part c)
What is the probability that at least seven customers arrive in
three minutes, given that exactly two arrive in the first
minute?
question c is not 0.442
In: Math
Many investors and financial analysts believe the Dow Jones
Industrial Average (DJIA) gives a good barometer of the overall
stock market. On January 31, 2006, 9 of the 30 stocks making up the
DJIA increased in price (The Wall Street Journal, February 1,
2006). On the basis of this fact, a financial analyst claims we can
assume that 30% of the stocks traded on the New York Stock Exchange
(NYSE) went up the same day.
A sample of 57 stocks traded on the NYSE that day showed that 28
went up.
You are conducting a study to see if the proportion of stocks that
went up is is significantly more than 0.3. You use a significance
level of α=0.10α=0.10.
What is the test statistic for this sample? (Report answer accurate
to three decimal places.)
test statistic =___________
What is the p-value for this sample? (Report answer accurate to
four decimal places.)
p-value = ___________
Please show me step by step how you got the P-vaule!!!!!!
In: Statistics and Probability
Suppose a consumer buys 20 units of good X and 10 units of good
Y every year. The following table lists the prices of goods X and Y
in the years 2005–2007. Assume that these two goods at the
mentioned consumption constitute the typical market basket.
Calculate the price indices for these years with 2005 as the base
year and complete table. What is the inflation rates for 2006 and
2007? Compared to 2005, was inflation higher in 2006 or 2007?
|
Year |
Good X |
Good Y |
Cost of Market Basket |
Price Index |
|
2005 |
$3.00 |
$6.00 |
||
|
2006 |
$4.00 |
$7.00 |
||
|
2007 |
$4.50 |
$7.50 |
In: Economics
Explain why Ford would be violating U.S. GAAP if it recognized all related revenue at the time cash was received from customers, rather than recording any as deferred
In: Accounting
Question 3(a):
When customers arrive at Cool's Ice Cream Shop, they take a number
and wait to be called to purchase ice cream from one of the counter
servers. From experience in past summers, the store's staff knows
that customers arrive at a rate of 150 per hour on summer days
between 3:00 p.m. and 10:00 p.m., and a server can serve 1 customer
in 1 minute on average. Cool's wants to make sure that customers
wait no longer than 10 minutes for service. Cool's is contemplating
keeping three servers behind the ice cream counter during the peak
summer hours.
(i) Will this number be adequate to meet the waiting time
policy?
(ii) What will be the probability that 3 to 4 customers in
Shop?
(iii) In winter season, arrival rate of customer is reduced to half
from 3:00 p.m. and 10:00 p.m. What decision should be taken by the
owner according to cost cutting point of view?
Question 3(b):
Analysis of arrivals at a PSO gas station with a single pump
(filler) has shown the time between arrivals with a mean of 10
minutes. Service times were observed with a mean time of 6
minutes.
(i) What is the probability that a car will have to wait?
(ii) What is the mean number of customers at the station?
(iii) What is the mean number of customers waiting to be
served?
(iv) PSO is willing to install a second pump when convinced that an
arrival would expect to wait at least twelve minutes for the gas.
By how much the flow of arrivals is increased in order to justify a
second booth?
In: Advanced Math