A genetic experiment with peas resulted in one sample of offspring that consisted of 404 green peas and 154 yellow peas.
a. Construct a 95% confidence interval to estimate of the percentage of yellow peas.
b. It was expected that 25% of the offspring peas would be yellow. Given that the percentage of offspring yellow peas is not 25%, do the results contradict expectations?
In: Statistics and Probability
A genetic experiment with peas resulted in one sample of offspring that consisted of 416 green peas and 156 yellow peas.
a. Construct a 90% confidence interval to estimate of the percentage of yellow peas.
b. It was expected that 25% of the offspring peas would be yellow. Given that the percentage of offspring yellow peas is not 25%, do the results contradict expectations?
In: Math
| year | Percentage |
| 2000 | 28 |
| 2001 | 32 |
| 2002 | 37 |
| 2003 | 43 |
| 2004 | 47 |
| 2005 | 52 |
| 2006 | 56 |
| 2007 | 58 |
| 2008 | 61 |
| 2009 | 66 |
| Forecast the percentage of tax returns that will be
electronically filed for 2010 using exponential smoothing with
trend adjustment. Set
alphaα =0.5 and β=0.6 |
In: Math
A publisher reports that 42% of their readers own a particular make of car. A marketing executive wants to test the claim that the percentage is actually different from the reported percentage. A random sample of 250 found that 35% of the readers owned a particular make of car. Find the value of the test statistic. Round your answer to two decimal places.
In: Math
This is Cost Accounting, I asked this question before, and when according to my professor some of the answers were not correct, can you help me with this question please, thanks
Decision Making – Equipment Replacement
Mathews manages an assembly facility of Orthom Scientific. A supplier approaches Mathews about replacing a large piece of manufacturing equipment that Orthom uses in its process with a more efficient model. While the supplier made some compelling arguments in favor of replacing the 3-year-old equipment, Mathews is hesitant. Mathews is hoping to be promoted next year to manager of the larger plant near Orthom’s headquarters, and he knows that the accrual-basis net operating income of the assembly plant he manages will be evaluated closely as part of the promotion decision. The following information is available concerning the equipment replacement decision:
The historic cost of the old machine is $600,000. It has a
current book value of $240,000, two remaining years of useful life,
and a market value of $144,000. Annual depreciation expense is
$120,000. It is expected to have a salvage value of $0 at the end
of its useful life.
The new equipment will cost $360,000. It will have a 2-year useful
life and a $0 salvage value. Orthom uses straight-line depreciation
on all equipment.
The new equipment will reduce electricity costs by $70,000 per year
and will reduce direct manufacturing labor costs by $60,000 per
year.
For simplicity, ignore income taxes and the time value of money.
Required:
Assume that Mathews’ priority is to receive the promotion and he
makes the equipment replacement decision based on next year’s
accrual-based net operating income. Which alternative would he
choose? Show your calculations.
What are the relevant factors in the decision? Which alternative is
in the best interest of the company over the next 2 years? Show
your calculations.
At what cost would Mathews be willing to purchase the new
equipment? Explain.
In: Accounting
a). Consider the following.
Fewer than 5% of adults in Los Angeles ride the bus to work.
State the Type I and Type II errors in complete sentences.
Type I error: We believe that at least 5% of adults in Los
Angeles ride the bus to work when the percentage really is fewer
than 5%.
Type II error: We believe that fewer than 5% of adults in Los
Angeles ride the bus to work when the percentage really is greater
than or equal to 5%. Type I error: We believe that fewer than 5% of
adults in Los Angeles ride the bus to work when the percentage
really is greater than or equal to 5%.
Type II error: We believe that at least 5% of adults in Los Angeles
ride the bus to work when the percentage really is fewer than
5%. Type I error: We believe
that the percentage of adults in Los Angeles who ride the bus to
work is 5% when it really is not 5%.
Type II error: We believe that the percentage of adults in Los
Angeles who ride the bus to work is not 5% when it really is 5%.
Type I error: We believe that the percentage of adults in Los
Angeles who ride the bus to work is not 5% when it really is
5%.
Type II error: We believe that the percentage of adults in Los
Angeles who ride the bus to work is 5% when it really is not
5%.
b). Consider the following.
The average number of cars a person owns in his or her lifetime is not more than 10.
State the Type I and Type II errors in complete sentences.
Type I error: We believe that the average number of cars a
person owns in his or her lifetime is 10 when it really is not
10.
Type II error: We believe that the average number of cars a person
owns in his or her lifetime is not 10 when it really is 10. Type I
error: We believe that the average number of cars a person owns in
his or her lifetime is more than 10 when it really is not more than
10.
Type II error: We believe that the average number of cars a person
owns in his or her lifetime is not more than 10 when it really is
more than 10. Type I error: We
believe that the average number of cars a person owns in his or her
lifetime is not more than 10 when it really is more than 10.
Type II error: We believe that the average number of cars a person
owns in his or her lifetime is more than 10 when it really is not
more than 10. Type I error: We believe that the average number of
cars a person owns in his or her lifetime is not 10 when it really
is 10.
Type II error: We believe that the average number of cars a person
owns in his or her lifetime is 10 when it really is not 10.
c). Consider the following.
About half of Americans prefer to live away from cities, given the choice.
State the Type I and Type II errors in complete sentences.
Type I error: We believe that the percentage of Americans who,
given the choice, prefer to live away from cities is less than 50%
when it really is more than 50%.
Type II error: We believe that the percentage of Americans who,
given the choice, prefer to live away from cities is more than 50%
when it really is less than 50%.Type I error: We believe that the
percentage of Americans who, given the choice, prefer to live away
from cities is more than 50% when it really is less than 50%.
Type II error: We believe that the percentage of Americans who,
given the choice, prefer to live away from cities is less than 50%
when it really is more than 50%. Type
I error: We believe that the percentage of Americans who, given the
choice, prefer to live away from cities is not around 50% when it
really is around 50%.
Type II error: We believe that the percentage of Americans who,
given the choice, prefer to live away from cities is around 50%
when it really is not around 50%.Type I error: We believe that the
percentage of Americans who, given the choice, prefer to live away
from cities is around 50% when it really is not around 50%.
Type II error: We believe that the percentage of Americans who,
given the choice, prefer to live away from cities is not around 50%
when it really is around 50%.
In: Statistics and Probability
To develop or acquire a real estate project, a sponsor may need to attract an equity partner since lenders generally will not finance 100% of a project's cost. Though there are many ways to compensate a financial partner for putting equity in a deal, a common scenario would be:
| a. |
Simple percentage of net cash flow from property |
|
| b. |
Preferred return on investor capital, a negotiated share of residual cash flow and priority distributions on sale |
|
| c. |
Upfront cash fee and back end residual |
|
| d. |
Payment of a preferred return on capital prior to making debt service payments to lender and priority return on sale until capital has been recovered |
In: Finance
Whispering Company uses the gross profit method to estimate
inventory for monthly reporting purposes. Presented below is
information for the month of May.
| Inventory, May 1 | $ 171,100 | |
| Purchases (gross) | 686,700 | |
| Freight-in | 28,700 | |
| Sales revenue | 1,067,400 | |
| Sales returns | 63,300 | |
| Purchase discounts | 11,300 |
Compute the estimated inventory at May 31, assuming that the gross profit is 30% of net sales.
|
The estimated inventory at May 31is ______ Compute the estimated inventory at May 31, assuming that the gross profit is 30% of cost. (Round percentage of sales to 2 decimal places, e.g. 78.74% and final answer to 0 decimal places, e.g. 6,225.)
|
In: Accounting
Kitty Inc. processes fish for various cat food distributors. Two departments are involved Department 1 and Department 2. Data relating to kilograms of Cat Food processed in Department 1 during July are presented below:
|
Kg. of Cat Food |
Percentage Completed |
|
|
WIP, May 1st |
20,000 |
30% |
|
Started into process during May |
380,000 |
- |
|
WIP, May 31st |
25,000 |
60% |
All materials are added at the beginning of processing in Department 1. Labour and overhead (conversion) costs are incurred uniformly throughout processing.
Required:
In: Accounting
| PROBLEM 1: | |||||||
| Felix Company wants to forecast its cash budget for the next 3 months. | |||||||
| * Estimated sales revenues are: | |||||||
| Month | Revenue | ||||||
| January | $ 200,000 | ||||||
| February | $ 150,000 | ||||||
| March | $ 300,000 | ||||||
| April | $ 400,000 | ||||||
| All sales are on credit and are estimated to be paid as follows: | |||||||
| Month of Sale | 60% | ||||||
| Month after sale | 40% | ||||||
| 100% | |||||||
| * Cost of goods sold as a percentage of sales is | 75% | ||||||
| * Payments for merchandise sold are made in the month following the month sale. | |||||||
| * Operating expenses total $50,000 per month and are to be paid in the month they are incurred. | |||||||
| * The cash balance estimated on February 1 is $100,000. | |||||||
| QUESTION: Prepare monthly cash budgets for February, March and April in Excel. | |||||||
In: Accounting