Cornerstones of Cost Management (Cornerstones Series)
3rd Edition
ISBN: 9781285751788
Author: Don R. Hansen, Maryanne M. Mowen
Publisher: Cengage Learning
expand_more
expand_more
format_list_bulleted
Concept explainers
Question
Chapter 3, Problem 6CE
1.
To determine
Identify the appropriate t-statistic value from exhibit 3.14 for Company DM’s confidence level.
2.
To determine
Construct a 95% confidence interval around the predicted value for material handling cost, if the Company DM estimates that next month will have 430 purchase orders.
3.
To determine
Construct a 90% confidence interval around the predicted value for material handling cost, if the Company DM estimates that next month will have 430 purchase orders.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solutionStudents have asked these similar questions
Havana Hats makes the world's best hats. Information for the last eight months follows:
Month
January
February
March
April
May
June
July
August
Number of Hats
Produced
6,750
2,800
3,250
4,250
7,800
3,700
Intercept
X Variable 1
6,150
6,800
r
Suppose that Havana expects to sell 4,700 hats during the month of September and that each hat sells for $2.75.
Havana performed a least-squares regression and obtained the following results:
Total Cost
$ 7,500
3,900
4,200
5,050
8,150
4,450
6,900
7,520
Coefficients
1,255.09
0.91
Contribution margin
Required:
Prepare Havana's contribution margin income statement for the month of September.
Note: Round your answers to 2 decimal places.
Havana Hats
Contribution Margin Income Statement
Month of September
Historical data show that customers who download music from a popular Web service spend approximately $20 per month, with a
standard deviation of $3. Assume the spending follows the normal probability distribution. Find the probability that a customer will
spend at least $18 per month. How much (or more) do the top 7% of customers spend?
What is the probability that a customer will spend at least $18 per month?
0.7475 (Round to four decimal places as needed.)
How much do the top 7% of customers spend?
(Round to the nearest cent as needed.)
The monthly sales for Yazici Batteries, Inc., were as follows:
Month
Jan
Feb
Mar
Apr May Jun
Jul
Aug
Sept
Oct
Nov
Dec
Sales
20
21
17
12
15
15
15
19
22
22
23
24
This exercise contains only parts b and c.
b) The forecast for the next month (Jan) using the naive method =
sales (round your response to a whole number).
The forecast for the next period (Jan) using a 3-month moving average approach = sales (round your response to two decimal places).
The forecast for the next period (Jan) using a 6-month weighted average with weights of 0.10, 0.10, 0.10, 0.20, 0.20, and 0.30, where the heaviest weights are applied
the most recent month =
sales (round your response to one decimal place).
Using exponential smoothing with a = 0.35 and a September forecast of 18.00, the forecast for the next period (Jan) = sales (round your response to two decimal
places).
Using a method of trend projection, the forecast for the next month (Jan) =
sales (round your response to two decimal places).
c) The method…
Chapter 3 Solutions
Cornerstones of Cost Management (Cornerstones Series)
Ch. 3 - Why is knowledge of cost behavior important for...Ch. 3 - How does the length of the time horizon affect the...Ch. 3 - Prob. 3DQCh. 3 - What is the relationship between flexible...Ch. 3 - What is the relationship between committed...Ch. 3 - Describe the difference between a variable cost...Ch. 3 - Why do mixed costs pose a problem when it comes to...Ch. 3 - Why is a scattergraph a good first step in...Ch. 3 - What are the advantages of the scatterplot method...Ch. 3 - Prob. 10DQ
Ch. 3 - What is meant by the best-fitting line? Is the...Ch. 3 - When is multiple regression required to explain...Ch. 3 - Explain the meaning of the learning curve. How do...Ch. 3 - Assume you are the manager responsible for...Ch. 3 - Some firms assign mixed costs to either the fixed...Ch. 3 - Callies Gym is a complete fitness center. Owner...Ch. 3 - Corazon Manufacturing Company has a purchasing...Ch. 3 - Darnell Poston, owner of Poston Manufacturing,...Ch. 3 - Dohini Manufacturing Company had the following 12...Ch. 3 - Refer to Cornerstone Exercise 3.4 for data on...Ch. 3 - Prob. 6CECh. 3 - The controller for Dohini Manufacturing Company...Ch. 3 - Prob. 8CECh. 3 - Classify the following costs of activity inputs as...Ch. 3 - SmokeCity, Inc., manufactures barbeque smokers....Ch. 3 - Cashion Company produces chemical mixtures for...Ch. 3 - For the following activities and their associated...Ch. 3 - Prob. 13ECh. 3 - Vargas, Inc., produces industrial machinery....Ch. 3 - Penny Davis runs the Shear Beauty Salon near a...Ch. 3 - Shirrell Blackthorn is the accountant for several...Ch. 3 - Deepa Dalal opened a free-standing radiology...Ch. 3 - Prob. 18ECh. 3 - The controller of the South Charleston plant of...Ch. 3 - Lassiter Company used the method of least squares...Ch. 3 - Sweet Dreams Bakery was started five years ago by...Ch. 3 - Prob. 22ECh. 3 - Bordner Company manufactures HVAC (heating,...Ch. 3 - Sharon Glessing, controller for Janson Company,...Ch. 3 - The graphs below represent cost behavior patterns...Ch. 3 - Starling Co. manufactures one product with a...Ch. 3 - Prob. 27ECh. 3 - Prob. 28ECh. 3 - Prob. 29ECh. 3 - Prob. 30ECh. 3 - Rolertyme Company manufactures roller skates. With...Ch. 3 - St. Teresas Medical Center (STMC) offers a number...Ch. 3 - Big Mikes, a large hardware store, has gathered...Ch. 3 - Kimball Company has developed the following cost...Ch. 3 - The management of Wheeler Company has decided to...Ch. 3 - DeMarco Company is developing a cost formula for...Ch. 3 - Prob. 37PCh. 3 - Friendly Bank is attempting to determine the cost...Ch. 3 - Randy Harris, controller, has been given the...Ch. 3 - Prob. 40PCh. 3 - Harriman Industries manufactures engines for the...Ch. 3 - Thames Assurance Company sells a variety of life...
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, accounting and related others by exploring similar questions and additional content below.Similar questions
- The following time series shows the sales of a particular product over the past 12 months. Construct a time series plot. What type of pattern exists in the data? Use α = 0.3 to compute the exponential smoothing values for the time series. Use trial and error to find a value of the exponential smoothing coefficient α that results in a relatively small MSE.arrow_forwardA simple random sample of 5 months of sales data provided the following information: a. Develop a point estimate of the population mean number of units sold per month. b. Develop a point estimate of the population standard deviation.arrow_forwardJensen Tire Auto is deciding whether to purchase a maintenance contract for its new computer wheel alignment and balancing machine. Managers feel that maintenance expense should be related to usage, and they collected the following information on weekly usage (hours) and annual maintenance expense (in hundreds of dollars). a. Develop a scatter chart with weekly usage hours as the independent variable. What does the scatter chart indicate about the relationship between weekly usage and annual maintenance expense? b. Use the data to develop an estimated regression equation that could be used to predict the annual maintenance expense for a given number of hours of weekly usage. What is the estimated regression model? c. Test whether each of the regression parameters 0 and 1 is equal to zero at a 0.05 level of significance. What are the correct interpretations of the estimated regression parameters? Are these interpretations reasonable? d. How much of the variation in the sample values of annual maintenance expense does the model you estimated in part (b) explain? e. If the maintenance contract costs 3,000 per year, would you recommend purchasing it? Why or why not?arrow_forward
- The monthly sales for Yazici Batteries, Inc., were asfollows: a) Plot the monthly sales data.b) Forecast January sales using each of the following:i) Naive method.ii) A 3-month moving average.iii) A 6-month weighted average using .1, .1, .1, .2, .2, and .3,with the heaviest weights applied to the most recent months.iv) Exponential smoothing using an a = .3 and a Septemberforecast of 18.v) A trend projection. c) With the data given, which method would allow you to fore-cast next March’s sales?arrow_forwardOn average, you use 35 kits per week for the TB GeneXpert test. It takes 28 days to receive the order that is approved and in placed. Given the info above, compute for the minimum stock level. Using weeks.arrow_forwardConsider the following time series data: Construct a time series plot. What type of pattern exists in the data? Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data: Qtr1 = 1 if quarter 1, 0 otherwise; Qtr2 = 1 if quarter 2. 0 otherwise; Qtr3 = 1 if quarter 3, 0 otherwise. Compute the quarterly forecasts for next year based on the model you developed in part (b). Use a multiple regression model to develop an equation to account for trend and seasonal effects in the data. Use the dummy variables you developed in part (b) to capture seasonal effects and create a variable t such that t = 1 for quarter 1 in year 1, t = 2 for quarter 2 in year 1, … t = 12 for quarter 4 in year 3. Compute the quarterly forecasts for next year based on the model you developed in part (d). Is the model you developed in part (b) or the model you developed in part (d) more effective? Justify your answer.arrow_forward
- The quarterly sales data (number of copies sold) for a college textbook over the past three years are as follows: a. Construct a time series plot. What type of pattern exists in the data? b. Use a regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data: Qtr1 = l if quarter l, 0 otherwise; Qtr2 = l if quarter 2, 0 otherwise; Qtr3 = 1 if quarter 3, 0 otherwise. c. Based on the model you developed in part (b), compute the quarterly forecasts for next year. d. Let t = 1 to refer to the observation in quarter 1 of year 1; t = 2 to refer to the observation in quarter 2 of year 1; ; and t = 12 to refer to the observation in quarter 4 of year 3. Using the dummy variables defined in part (b) and t, develop an equation to account for seasonal effects and any linear trend in the time series. e. Based upon the seasonal effects in the data and linear trend, compute the quarterly forecasts for next year. f. Is the model you developed in part (b) or the model you developed in part (d) more effective? Justify your answer.arrow_forwardThe Port Authority sells a wide variety of cables and adapters for electronic equipment online. Last year the mean value of orders placed with the Port Authority was 47.28, and management wants to assess whether the mean value of orders placed to date this year is the same as last year. The values of a sample of 49,896 orders placed this year are collected and recorded in the tile PortAuthority. a. Formulate hypotheses that can be used to test whether the mean value of orders placed this year differs from the mean value of orders placed last year. b. Use the data in the file PortAuthority to conduct your hypothesis test. What is the p value for your hypothesis test? At = 0.01, what is your conclusion?arrow_forwardConsider the following time series data: Construct a time series plot. What type of pattern exists in the data? Develop a three-week moving average for this time series. Compute MSE and a forecast for week 8. Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for week 8. Compare the three-week moving average forecast with the exponential smoothing forecast using α = 0.2. Which appears to provide the better forecast based on MSE? Use trial and error to find a value of the exponential smoothing coefficient α that results in a smaller MSE than what you calculated for α = 0.2.arrow_forward
- Refer to the information for Farnsworth Company (p. 139) for the first 10 months of data on receiving orders and receiving cost. Now suppose that Tracy has gathered 2 more months of data: Note: For the following requirements, round the intercept terms to the nearest dollar, round the variable rates to the nearest cent, and R2 to two decimal places. Required: 1. Run two regressions using a computer spreadsheet program such as Excel. First, use the method of least squares on the first 10 months of data. Then, use the method of least squares on all 12 months of data. Write down the results for the intercept, slope, and R2 for each regression. Compare the results. 2. CONCEPTUAL CONNECTION Prepare a scattergraph using all 12 months of data. Do any points appear to be outliers? Suppose Tracy has learned that the factory suffered severe storm damage during Month 11 that required extensive repairs to the receiving areaincluding major repairs on a forklift. These expenses, included in Month 11 receiving costs, are not expected to recur. What step might Tracy, using her judgment, take to amend the results from the method of least squares? 3. CONCEPTUAL CONNECTION Rerun the method of least squares, using all the data except for Month 11. (You should now have 11 months of data.) Prepare a cost formula for receiving based on these results, and calculate the predicted receiving cost for a month with 1,450 receiving orders. Discuss the results from this regression versus those from the regression for 12 months of data.arrow_forwardThe Lockit Company manufactures door knobs for residential homes and apartments. Lockit is considering the use of simple (single-driver) and multiple regression analyses to forecast annual sales because previous forecasts have been inaccurate. The new sales forecast will be used to initiate the budgeting process and to identify more completely the underlying process that generates sales. Larry Husky, the controller of Lockit, has considered many possible independent variables and equations to predict sales and has narrowed his choices to four equations. Husky used annual observations from 20 prior years to estimate each of the four equations. Following are definitions of the variables used in the four equations and a statistical summary of these equations: St=ForecastedsalesindollarsforLockitinperiodtSt1=ActualsalesindollarsforLockitinperiodt1Gt=ForecastedU.S.grossdomesticproductinperiodtGt1=ActualU.S.grossdomesticproductinperiodt1Nt1=Lockitsnetincomeinperiodt1 Required: 1. Write Equations 2 and 4 in the form Y = a + bx. 2. If actual sales are 1,500,000 in the current year, what would be the forecasted sales for Lockit in the coming year? 3. Explain why Larry Husky might prefer Equation 3 to Equation 2. 4. Explain the advantages and disadvantages of using Equation 4 to forecast sales.arrow_forwardCooper Realty is a small real estate company located in Albany, New York, that specializes primarily in residential listings. The company recently became interested in determining the likelihood of one of its listings being sold within a certain number of days. An analysis of company sales of 800 homes in previous years produced the following data. a. If A is defined as the event that a home is listed for more than 90 days before being sold, estimate the probability of A. b. If B is defined as the event that the initial asking price is under 150,000, estimate the probability of B. c. What is the probability of AB? d. Assuming that a contract was just signed to list a home with an initial asking price of less than 150,000, what is the probability that the home will take Cooper Realty more than 90 days to sell? e. Are events A and B independent?arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Managerial Accounting: The Cornerstone of Busines...AccountingISBN:9781337115773Author:Maryanne M. Mowen, Don R. Hansen, Dan L. HeitgerPublisher:Cengage LearningEssentials of Business Analytics (MindTap Course ...StatisticsISBN:9781305627734Author:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. AndersonPublisher:Cengage LearningManagerial AccountingAccountingISBN:9781337912020Author:Carl Warren, Ph.d. Cma William B. TaylerPublisher:South-Western College Pub
- Cornerstones of Cost Management (Cornerstones Ser...AccountingISBN:9781305970663Author:Don R. Hansen, Maryanne M. MowenPublisher:Cengage LearningEBK CONTEMPORARY FINANCIAL MANAGEMENTFinanceISBN:9781337514835Author:MOYERPublisher:CENGAGE LEARNING - CONSIGNMENT
Managerial Accounting: The Cornerstone of Busines...
Accounting
ISBN:9781337115773
Author:Maryanne M. Mowen, Don R. Hansen, Dan L. Heitger
Publisher:Cengage Learning
Essentials of Business Analytics (MindTap Course ...
Statistics
ISBN:9781305627734
Author:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson
Publisher:Cengage Learning
Managerial Accounting
Accounting
ISBN:9781337912020
Author:Carl Warren, Ph.d. Cma William B. Tayler
Publisher:South-Western College Pub
Cornerstones of Cost Management (Cornerstones Ser...
Accounting
ISBN:9781305970663
Author:Don R. Hansen, Maryanne M. Mowen
Publisher:Cengage Learning
EBK CONTEMPORARY FINANCIAL MANAGEMENT
Finance
ISBN:9781337514835
Author:MOYER
Publisher:CENGAGE LEARNING - CONSIGNMENT
Portfolio return, variance, standard deviation; Author: MyFinanceTeacher;https://www.youtube.com/watch?v=RWT0kx36vZE;License: Standard YouTube License, CC-BY