Statistics for Business & Economics, Revised (MindTap Course List)
12th Edition
ISBN: 9781285846323
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
Publisher: South-Western College Pub
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Question
Chapter 20, Problem 18SE
a.
To determine
Find the price relative for each product.
b.
To determine
Find the weighted aggregate price index that reflects the shipping cost change over the four-year period.
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The table below shows monthly data collected on production costs and on the number of units produced over a twelve month period.
Month
Total Production Cost
Level of Activity (units Produced)
July
$230,000
3,500
August
250,000
3,750
September
260,000
3,800
October
220,000
3,400
November
340,000
5,800
December
330,000
5,500
January
200,000
2,900
February
210,000
3,300
March
240,000
3,600
April
380,000
5,900
May
350,000
5,600
June
290,000
5,000
Using the information above answer both questions below
1. Prepare the scatter diagram, clearly showing any outliers.2. Using the line of best-fit, determine the company’s fixed cost per month and the variable cost per unit. (Use 0 & 5,000 units.)
The prices and the numbers of various items produced by a small machine and stamping plant are reported below. Use 2010 as the base.
2010
2018
Item
Price
Quantity
Price
Quantity
Washer
$
0.07
17,000
$
0.10
20,000
Cotter pin
0.04
125,000
0.03
130,000
Stove bolt
0.15
40,000
0.15
42,000
Hex nut
0.08
62,000
0.10
65,000
a. Determine the simple price indexes. (Round your answers to 2 decimal places.)
b. Determine the simple aggregate price index for the two years. (Round your answer to 2 decimal places.)
c. Determine the Laspeyres price index. (Round your answer to 2 decimal places.)
d. Determine the Paasche price index. (Round your answer to 2 decimal places.)
e. Determine Fisher's ideal index. (Round your answer to 2 decimal places.)
Given the following data for demand at the XYZ Company, calculate the monthly forecast for 2003 using a 3-month moving average. Calculate the Forecast, Error, MAD (mean absolute percentage error), Bias and the TS (tracking signal) .
Chapter 20 Solutions
Statistics for Business & Economics, Revised (MindTap Course List)
Ch. 20.2 - The following table reports prices and usage...Ch. 20.2 - An item with a price relative of 132 cost 10.75 in...Ch. 20.2 - A large manufacturer purchases an identical...Ch. 20.2 - Prob. 4ECh. 20.2 - Under the last-in, first-out (LIFO) inventory...Ch. 20.3 - Price relatives for three items, along with...Ch. 20.3 - The Mitchell Chemical Company produces a special...Ch. 20.3 - Prob. 8ECh. 20.3 - Compute the price relatives for the RB Beverages...Ch. 20.5 - Registered nurses in 2007 made an average hourly...
Ch. 20.5 - The average hourly wage rate for construction...Ch. 20.5 - Shipments of product from manufacturer to the...Ch. 20.5 - Prob. 13ECh. 20.7 - Prob. 14ECh. 20.7 - Prob. 15ECh. 20.7 - An automobile dealer reports the 1994 and 2011...Ch. 20 - Many factors influence the retail price of...Ch. 20 - Prob. 18SECh. 20 - Prob. 19SECh. 20 - Boran Stockbrokers, Inc., selects four stocks for...Ch. 20 - Compute the price relatives for the four stocks...Ch. 20 - Prob. 22SECh. 20 - Seafood price and quantity data are reported by...Ch. 20 - Prob. 24SECh. 20 - The closing price of Apple stock, adjusted for...Ch. 20 - Prob. 26SE
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- The table below shows monthly data collected on production costs and on the number of units produced over a twelve-month period. Month Total Production Costs Level of Activity (Units Produced) July $230,000 3,500 August 250,000 3,750 September 260,000 3,800 October 220,000 3,400 November 340,000 5,800 December 330,000 5,500 January 200,000 2,900 February 210,000 3,300 March 240,000 3,600 April 380,000 5,900 May 350,000 5,600 June 290,000 5,000 A) Using the line of best-fit, determine the company’s fixed cost per month and the variable cost per unit. (Use 0 & 5,000 ) B) In view of the department’s cost behavior pattern, which of the two methods appear more appropriate? Explain your answer.arrow_forwardThe prices and the numbers of various items produced by a small machine and stamping plant are reported below. Use 2010 as the base. 2010 2018 Item Price (in $) Quantity Price (in $) Quantity Washer 0.07 17,000 0.10 20,000 Cotter pin 0.04 125,000 0.03 130,000 Stove bolt 0.15 40,000 0.15 42,000 Hex nut 0.08 62,000 0.10 65,000 a. Determine the Laspeyres price index. (Round your answer to 2 decimal places.) b. Determine the Paasche price index. (Round your answer to 2 decimal places.)arrow_forwardPrice information for selected foods for 2010 and 2018 is given in the table. Price Quantity Item 2010 2018 2010 2018 Cabbage (pound) $ 0.06 $ 0.05 2,000 1,500 Carrots (bunch) 0.10 0.12 200 200 Peas (quart) 0.20 0.18 400 500 Endive (bunch) 0.15 0.15 100 200 Compute a simple price index for each of the four items. Use 2010 as the base period. (Round your answers to 2 decimal places.)arrow_forward
- The staff of controller of McCourt Company added the variable "pounds moved" to the ten-month data set: Month Materials Handling Cost Number of Moves Pounds Moved January $5,600 475 12,000 February 3,090 125 15,000 March 2,780 175 7,800 April 8,000 600 29,000 May 1,990 200 600 June 5,300 300 23,000 July 4,300 250 17,000 August 6,300 400 25,000 September 2,000 100 6,000 October 6,240 425 22,400 Required: 1. Using the data on material handling, use regression software such as Microsoft Excel to complete the missing data in the table below (round regression parameters to the nearest cent and other answers to three decimal places): McCourt CompanySUMMARY OUTPUT Regression Statistics Multiple R 0.999 R Square fill in the blank 491c8af8afe4f84_1 Adjusted R Square fill in the blank 491c8af8afe4f84_2 Standard Error 119.600 Observations 10 ANOVA df SS MS F Significance F Regression 2 37,768,070.16 18,884,035…arrow_forwardThe problem is based on the following data given. Observations of the demand for a certain part stocked at a parts supply depot during the calendar year 2013 were ( as shown ). Using a four-month moving average, determine the two-step-ahead forecast for July through December 2013. (Hint: The two-step-ahead forecast for July is based on the observed demands in February through May.)arrow_forwardThe data below have been taken from the cost records of the Halifax General Hospital. The data relate to the costs of admitting patients at various levels of patient activity: Month Number of Patients Admitting Admitted Department CostsMay..................................................................... 3,600 $ 29,400June .................................................................... 3,800 $ 28,700July ...................................................................... 2,900 $ 27,400August ................................................................ 3,200 $ 28,000September .......................................................... 3,300…arrow_forward
- The following table shows the average monthly production of coal in tonnes for the year 2010-2019. Year Production (in tonnes) Year Production (in tonnes) 2010 50.0 2015 38.1 2011 36.5 2016 32.6 2012 43.0 2017 41.7 2013 44.5 2018 41.1 2014 38.9 2019 33.8 Compute the price indices from 2010 to 2019 by taking 2019 as the base year. Compare the price of 2014 and 2017. What is the percentage (%) change in the production from 2016 to 2019?arrow_forwardFrom the following data, compute Laspeyre’s price index Paasche’s price index Commodity Base period Current period Price (K) Quantity (Kg) Price (K) Quantity (Kg) A 10 12 12 15 B 7 15 5 20 C 5 24 9 20 D 16 5 14 5arrow_forwardGiven the following data on the number of pints of ice cream sold at a local ice cream store for a 10-period time frame: Period Demand 1 230 2 220 3 200 4 270 5 300 6 300 7 330 8 340 9 360 10 300 Use a 2-period moving average to forecast demand for period 11 Group of answer choices 350 225 330 335arrow_forward
- Given the following demand for ten-period time frame as shown in the table below. Compute the three-period and five-period moving average forecasts. Plot the actual demand and the forecasts on the same graph. Period 1 2 3 4 5 6 7 8 9 10 Demand (in units) 24 25 28 32 35 38 41 46 49 53 Forecast Table: Period Actual 3-Moving Averages 5-Moving Averages 1 24 2 25 3 28 4 32 5 35 6 38 7 41 8 46 9 49 10 53 11arrow_forwardUse tables to express and represent the descriptive statistics for thevariables below. Years GDP growth (annual %) Gross capital formation (annual % growth) Labor force participation rate, total (% of total population ages 15-64) (modeled ILO estimate) 2019 0.892 2.556 71.38 2018 1.89 3.862 70.44 2017 0.997 6.158 71.15 2016 1.375 -0.103 70.31 2015 0.921 -6.13 68.74 2014 0.69 3.84 68.39 2013 0.518 5.473 68.53 2012 -0.614 -5.75 67.42 2011 1.73 8.972 67.63 2010 -1.457 -2.039 67.84 2009 -4.345 -18.427 68.15 2008 -0.8117 -8.009 68.46arrow_forwardConstruct index number of price from the following data byapplying: Bowley’s method 2016 2016 2017 2017 Commodity Price Quantty Price QuanttyA 2 8 4 6B 5 10 6 5C 4 14 5 10D 2 19 2 13arrow_forward
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