Bohemian Interior Design has projected the following quarterly sales. The accounts receivable at the beginning of the year is $1,030,000 and the collection period is 58 days. What are collections for the first quarter and second quarters? (5 points) Q1 Q2 Q3 Q4 Sales $ 1,705 ,000 $ 1,765 ,000 $ 2,115 ,000 $ 2,135 ,000
In: Finance
|
Q1 |
Q2 |
Q3 |
Q4 |
|||||||||
|
Sales |
$ |
1,705 |
,000 |
$ |
1,765 |
,000 |
$ |
2,115 |
,000 |
$ |
2,135 |
,000 |
In: Finance
A spherical raindrop 2.7 mm in diameter falls through a vertical distance of 5000 m. Take the cross-sectional area of a raindrop = πr2, drag coefficient = 0.45, density of water to be 1000 kg/m3,and density of air to be 1.2 kg/m3.
(a) Calculate the speed a spherical raindrop would
achieve falling from 5000 m in the absence of air drag.
313.04 m/s (correct)
(b) What would its speed be at the end of 5000 m when there is air
drag? (Note that the raindrop will reach terminal velocity after
falling about 30 m.)
_______ m/s
In: Physics
| Use Excel to calculate the values to fill in the empty boxes. Feel free to add additional tables and calculations as | |||||||||||||
| needed. Please use the assignment 1 discussion board to ask questions. Once completed, save this file and | |||||||||||||
| upload it in Canvas. | |||||||||||||
| Historical Demand Data 2012 to 2016: | |||||||||||||
| The table reproduced below is the demand data for a company (aggregated) for the previous five years. | |||||||||||||
| 2012 | 2013 | 2014 | 2015 | 2016 | |||||||||
| Q1 | 11632 | 15034 | 16117 | 15565 | 16470 | ||||||||
| Q2 | 22509 | 26824 | 24169 | 20151 | 42858 | ||||||||
| Q3 | 21646 | 13314 | 14505 | 13392 | 19278 | ||||||||
| Q4 | 11355 | 10698 | 11176 | 10613 | 13934 | ||||||||
| Annual Demand | 67,142 | 65,870 | 65,967 | 59,721 | 92,540 | ||||||||
| Average Quarterly Demand | 16,785.50 | 16,467.50 | 16,491.75 | 14,930.25 | 23,135.00 | ||||||||
| Forecasting Using Moving Average Methods | |||||||||||||
| Using the historical demand data above, you are to determine the total annual demand forecast for 2016 and 2017 using: | |||||||||||||
| Ø the three-period moving average forecasting method | |||||||||||||
| Ø the three-period weighted moving average method with weights of .6, .3, and .1 | use .6 for most recent period | (Use .6 for most recent period) | |||||||||||
| Enter your forecast results in the following tables. | |||||||||||||
| 2016 Annual Forecast Using a Moving Average | 2016 Annual Forecast Using a Weighted Moving Average | 2017 Annual Forecast Using a Moving Average | 2017 Annual Forecast Using a Weighted Moving Average | ||||||||||
| 63,852.67 | 62209.7 | 72742.67 | 80037 | ||||||||||
| Calculate a Time Series Linear equation using the all of the above demand data: | |||||||||||||
| Using the historical demand data for 2012 through 2016, create a linear equation with the year as the independent variable and the annual volume as the dependent variable. | |||||||||||||
| (Excel can be quite useful here, consider the Slope and Intercept functions) | |||||||||||||
| Enter your linear equation in text from here: | y = a + bX | ||||||||||||
| Calculated 2017 Annual Forecast from Linear Equation: | x=2017 | ||||||||||||
| Forecasting Using an Exponential Smoothing Method and Seasonal Factors: | |||||||||||||
| Using the historical demand data for 2012 through 2016 given on the first page you are to: | |||||||||||||
| Ø Using the exponential smoothing forecasting method with an alpha value of 0.7, forecast the total annual demand for 2017. Start your forecast calculations with the total annual demand for 2012 and a starting forecast for 2012 that is the | |||||||||||||
| same as the 2012 total annual demand. After you have the annual forecast for 2012, use the average seasonal factors determined in the first part above to calculate the quarterly demand forecasts for 2017. | |||||||||||||
| Ø Determine the average seasonal factors for each quarter. Remember that you will first need to calculate the total annual demand and then average quarterly demand for each year of data as shown in lecture. | |||||||||||||
| Ø Determine the MAD, CFE, and MAPE errors between the annual forecast values using exponential smoothing for 2013 to 2016 and the actual annual demand data for 2013 to 2016. Enter the values in response to the three questions below. | |||||||||||||
| 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | ||||||||
| Actual Annual Demand | 67,142 | 65,870 | 65,967 | 59,721 | 92,540 | alpha= | 0.7 | ||||||
| Forecasted Annual Demand | 67,142 | 67142 | 66251.6 | 66052.38 | 61620.414 | ||||||||
| Forecast Error | -1,272 | -285 | -6,331 | 30,920 | |||||||||
| Values | Seasonal Factor for each Quarter | 2017 Quarterly Forecast | Index | 2012 | 2013 | 2014 | 2015 | 2016 | |||||
| Quarter 1 | 0.89 | Q1 | 0.69 | 0.90 | 0.96 | 0.93 | 0.98 | ||||||
| Quarter 2 | 1.63 | Q2 | 1.34 | 1.60 | 1.44 | 1.20 | 2.55 | ||||||
| Quarter 3 | 0.98 | Q3 | 1.29 | 0.79 | 0.86 | 0.80 | 1.15 | ||||||
| Quarter 4 | 0.69 | Q4 | 0.68 | 0.64 | 0.67 | 0.63 | 0.83 | ||||||
| Totals | 4.19 | ||||||||||||
| What is the MAD value for the exponential smoothing forecast? Answer = | |||||||||||||
| What is the CFE value for the exponential smoothing forecast? Answer = | |||||||||||||
| What is the MAPE value for the exponential smoothing forecast? Answer = | |||||||||||||
| Forecasting using trend with regression: | |||||||||||||
| Calculate forecasts for 2017, 2016 and 2015 using a linear regression of the previous three actual demand values. | |||||||||||||
| (Hint: You will need to calculate three different linear equations.) | |||||||||||||
| 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | ||||||||
| Actual Annual Demand | 67,142 | 65,870 | 65,967 | 59,721 | 92,540 | slope | -587.5 | ||||||
| Forecasted Annual Demand | 67,142 | 67,142 | 66,252 | 66,052 | 61,620 | intercept | |||||||
| Forecast Error | -6,331 | 30,920 | |||||||||||
| What is the MAD value for the trend with regression forecast? Answer = | |||||||||||||
| What is the CFE value for the trend with regression forecast? Answer = | |||||||||||||
| What is the MAPE value for the trend with regression forecast? Answer = | |||||||||||||
In: Operations Management
Monthly Sales Tax
A retail company must file a monthly sales tax report listing the total sales for the month, and the amount of state and county sales tax collected. The state sales tax rate is 5 percent and the county sales tax rate is 2.5 percent. Write a Python program with function(s) that asks the user to enter the total sales for the month. Make sure that you do not allow user to enter negative values for the total sales (that is validate with a loop). From the entered total sales amount, your program should calculate and display the following:
The amount of state sales tax
The total sales tax (county plus state)
Falling Distance
When an object is falling because of gravity, the following formula can be used to determine the distance the object falls in a specific time period:
[Math Processing Error]distance=12gt2The variables in the formula are as follows: d is the distance in meters, g is 9.8, and t is the amount of time, in seconds, that the object has been falling.
Write a function named falling_distance (in Python) that accepts an object’s falling time (in seconds) as an argument. The function should return the distance, in meters, that the object has fallen during that time interval. Write a Python program (main function) that calls the falling_distance function in a loop that passes the values 1 through 10 as arguments and displays the return value for each iteration.
In: Computer Science
the following the average marginal propensity to consume (MPC) is c1 = .52.
They then looked at how different groups had different marginal propensities to consume. In particular:
Now, take the following hypothetical situation about the Italian economy:
M = X = 0
G = 500, Tp=500
C = 1000 + c1(Y-Tp)
I = 200
Round to two decimal places in answers below:
Effect of Difference in MPC
|
Marginal propensity to consume |
Multiplier on government spending |
|
|
All Italians |
.52 |
2.08 |
|
Group 1 |
.3 |
1.43 |
|
Group 2 |
.65 |
2.86 |
Need help with G and then B and C
In: Economics
If an average-sized man jumps from an airplane with an open parachute, his downward velocity t seconds into the fall is V(t) = 20 ( 1-0.2t ) feet per second. Explain how the velocity increases with time.Include in your explanation a comparison of more than one calculated average rate of change (ARC). Find the terminal velocity. Find the time it takes to reach 99% of terminal velocity. Compare your answer in part C with the time it took to reach 99% of terminal velocity on the 2.1 Additional Worksheet part d for a free falling skydiver. On the basis of that information, which would you expect to reach 99% of terminal velocity first, a feather or a cannonball? Explain your reasoning.
In: Physics
Between China, India, and United Kingdom which country would be the most considered to expand a bussiness in that exports goods to the U.S?
In: Operations Management
Suppose that Stillwater Designs has two classes of distributors: JIT distributors and non-JIT distributors. The JIT distributor places small, frequent orders, and the non-JIT distributor tends to place larger, less frequent orders. Both types of distributors are buying the same product. Stillwater Designs provides the following information about customer-related activities and costs for the most recent quarter:
| JIT Distributors |
Non-JIT Distributors |
||
| Sales orders | 900 | 90 | |
| Sales calls | 70 | 70 | |
| Service calls | 350 | 175 | |
| Average order size | 650 | 6,500 | |
| Manufacturing cost/unit | $125 | $125 | |
| Customer costs: | |||
| Processing sales orders | $3,180,000 | ||
| Selling goods | 1,120,000 | ||
| Servicing goods | 1,050,000 | ||
| Total | $5,350,000 | ||
Required:
1. Calculate the total revenues per distributor category, and assign the customer costs to each distributor type by using revenues as the allocation base. Selling price for one unit is $150. Round calculations to the nearest dollar.
| JIT | Non-JIT | |||
| Sales (in units) | ||||
| Sales | $ | $ | ||
| Allocation | $ | $ | ||
2. Conceptual Connection: Calculate the customer cost per distributor type using activity-based cost assignments. Round the interim calculations to the nearest dollar.
| JIT | Non-JIT | |||
| Ordering costs | $ | $ | ||
| Selling costs | $ | $ | ||
| Service costs | $ | $ | ||
| Total | $ | $ | ||
For non JIT distributors by how much can the price be decreased without affecting customer profitability? Round your answer to the nearest cent.
$ per unit
In: Accounting
The production department of Zan Corporation has submitted the following forecast of units to be produced by quarter for the upcoming fiscal year:
| 1st Quarter | 2nd Quarter | 3rd Quarter | 4th Quarter | |
| Units to be produced | 8,000 | 11,000 | 10,000 | 9,000 |
In addition, 12,000 grams of raw materials inventory is on hand at the start of the 1st Quarter and the beginning accounts payable for the 1st Quarter is $5,400.
Each unit requires 6 grams of raw material that costs $1.80 per gram. Management desires to end each quarter with an inventory of raw materials equal to 25% of the following quarter’s production needs. The desired ending inventory for the 4th Quarter is 5,000 grams. Management plans to pay for 60% of raw material purchases in the quarter acquired and 40% in the following quarter. Each unit requires 0.40 direct labor-hours and direct laborers are paid $14.50 per hour.
Required:
1.&2. Calculate the estimated grams of raw material that need to be purchased and the cost of raw material purchases for each quarter and for the year as a whole.
3. Calculate the expected cash disbursements for purchases of materials for each quarter and for the year as a whole.
4. Calculate the estimated direct labor cost for each quarter and for the year as a whole. Assume that the direct labor workforce is adjusted each quarter to match the number of hours required to produce the estimated number of units produced.
|
Calculate the expected cash disbursements for purchases of materials for each quarter and for the year as a whole.
|
|
In: Accounting