IOG Technologies offers semiconductor and system solutions for automotive industrial and multimarket sectors for applications in communication. The following data relates to the production of three products manufactured by them: Product Price (RM) Quantity 2000 2016 2000 2016 BD-1005 3.00 3.20 60 80 LCM-2134 2.00 2.50 100 90 DDK-456 3.50 4.00 500 700 Determine the Laspeyres Price Index (LPI) and Paasche Price Index (PPI) for 2016 using 2000 as the base period.

IOG Technologies offers semiconductor and system solutions for automotive industrial and multimarket sectors for applications in communication. The following data relates to the production of three products manufactured by them: Product Price (RM) Quantity 2000 2016 2000 2016 BD-1005 3.00 3.20 60 80 LCM-2134 2.00 2.50 100 90 DDK-456 3.50 4.00 500 700 Determine the Laspeyres Price Index (LPI) and Paasche Price Index (PPI) for 2016 using 2000 as the base period.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.2: Representing Data

Problem 22PFA

See similar textbooks

Similar questions

Find the mean hourly cost when the cell phone described above is used for 240 minutes.
Calculate range and its co-efficient from the following statistical data: Profits ( $ in 000's) 125, 50, 30, 20, 80, 85, 90, 160, 180, 100, 170, 185, 155, 200, 140, 145.
Spring is a peak time for selling houses. Suppose the data below contains the selling price, number of bathrooms, square footage, and number of bedrooms of 26 homes sold in Ft. Thomas, Kentucky, in spring 2018. Selling Price Baths Sq Ft Selling Price 160,000 170,000 178,000 182,500 195,100 212,500 245,900 250,000 255,000 258,000 267,000 268,000 275,000 1.5 1,786 2 1,768 1 1,219 1 1,578 1.5 1,125 2 1,196 2 2,128 N W 3 2 1,280 1,596 3.5 2,374 2.5 2,439 2 1,470 2 1,688 Beds 3 3 3 2 3 2 3 3 3 4 3 4 4 295,000 325,000 325,000 328,400 331,000 344,500 365,000 385,000 395,000 399,000 430,000 430,000 454,000 Baths Sq Ft 2.5 1,860 3 2,056 3.5 2,776 2 1,408 1.5 1,972 2.5 1,736 2.5 1,990 2.5 3,640 2.5 1,928 2 2,108 2 2,462 2 2,615 3.5 3,700 Beds 3 4 4 4 3 3 4 4 4 3 4 4 4 Consider the estimated regression equation we developed that can be used to predict the selling price given the number of bathrooms, square footage, and number of bedrooms in the house. (x, denotes number of bathrooms, x₂ denotes…
How to how to interpret scatterplots?
ncur Technologies, Inc., is a large expense-management company located inRedmond, Washington. The Wall street Journal asked Concur to examine the datafrom 8.3 million expense reports to provide insights regarding business travelexpenses. Their analysis of the data showed that New York was the most expensivecity, with an average daily hotel room rate of $198 and an average amount spent onentertainment, including group meals and tickets for shows, sports, and other events,of $172. In comparison, the U.S. averages for these two categories were $89 for theroom rate and $99 for entertainment. The following table shows the average dailyhotel room rate and the amount spent on entertainment for a random sample of 9 ofthe 25 most visited U.S. cities (The Wall street Journal, August 18, 2011).CityRoom Rate($)Entertainment($)Boston 148 161Denver 96 105Nashville 91 101New Orleans 110 142Phoenix 90 100San Diego 102 120San Francisco 136 167San Jose 90 140Tampa 82 98a. Develop a scatter diagram for…
The sales manager of a large automotive parts distributor wants to estimate the total annual sales for each of the company’s regions. Five factors appear to be related to regional sales: the number of retail outlets in the region, the number of automobiles in the region registered as of April 1, the total personal income recorded in the first quarter of the year, the average age of the automobiles (years), and the number of sales supervisors in the region. The data for each region were gathered for last year. For example, see the following table. In region 1 there were 1,739 retail outlets stocking the company’s automotive parts, there were 9,270,000 registered automobiles in the region as of April 1, and so on. The region’s sales for that year were $37,702,000. constant outlet automobile reg income age bosses 37.702 1,739 9.27 85.4 3.5 9 24.196 1,221 5.86 60.7 5 5 32.055 1,846 8.81 68.1 4.4 7 3.611 120 3.81 20.2 4 5 17.625 1,096 10.31 33.8 3.5 7 45.919 2,290 11.62 95.1…
United Dairies, Inc., supplies milk to several independent grocers throughout Dade County, Florida. Managers at United Dairies want to develop a forecast of the number of half-gallons of milk sold per week. Sales data for the past 12 weeks follow and have been transferred in the data file UDFMilk.xlsx download(also posted under week 11 module). Week Sales Week Sales 1 2750 7 3300 2 3100 8 3100 3 3250 9 2950 4 2800 10 3000 5 2900 11 3200 6 3050 12 3150 By Thursday, April 15 (11:55pm PST), answer the following 2 questions and attach a word doc or excel file to show your work. Use the data in the file UDFMilk.xlsx downloadto construct a time series plot. What type of pattern exists in the data? Use exponential smoothing with to develop a forecast of demand for week 13.
The following table presents prices, in thousands of dollars, of single-family homes for 20 of the largest metropolitan areas in the United States for the first quarter of 2012 and the first quarter of 2013. . Metro Area 2012 2013 Boston, MA 311.5 332.2 Chicago, IL 157.2 159.4 Cincinnati, OH 112.5 121.0 Cleveland, OH 84.9 101.0 Dallas, TX 148.2 160.4 Denver, CO 226.4 261.2 Houston, TX 152.1 163.7 Los Angeles, CA 122.1 155.1 Miami, FL 182.0 219.9 Minneapolis, MN 147.3 170.6 Metro Area 2012 2013 New York, NY 363.8 368.2 Philadelphia, PA 193.5 197.7 Phoenix, AZ 129.9 169.0 Portland, OR 208.6 246.5 Riverside, CA 174.3 216.7 St. Louis, MO 103.7 111.0 San Diego, CA 359.5 412.3 San Francisco, CA 448.0…
On December 17, 2007 baseball writer John Hickey wrote an article for the Seattle P-I about increases to ticket prices for Seattle Mariners games during the 2008 season. The article included a data set that listed the average ticket price for each MLB team, the league in which the team plays (AL or NL), the number of wins during the 2007 season and the cost per win (in dollars). The data for the 16 National League teams are shown below. league price wins cost/win team Arizona Diamondbacks NL 19.68 90 35.40 Atlanta Braves NL 17.07 84 32.89 Chicago Cubs NL 34.30 85 65.33 cincinnati Reds NL 17.90 72 40.32 Colorado Rockies NL 14.72 90 26.67 Florida Marlins NL 16.70 71 38.13 Houston Astros NL 26.66 73 59.11 Los Angeles Dodgers 20.09 82 34.64 NL Milwaukee Brewers NL 18.11 83 35.37 N.Y. Mets NL 25.28 88 46.56 Philadelphia Phillies 26.73 89 48.69 NL Pittsburgh Pirates NL 17.08 68 40.67 San Diego Padres NL 20.83 89 38.15 San Francisco Giants NL 24.53 71 56.00 St. Louis Cardinals NL 29.78 78…
Concur Technologies, Inc., is a large expense-management company located in Redmond, Washington. The Wall Street Journal asked Concur to examine the data from 8.3 million expense reports to provide insights regarding business travel expenses. Their analysis of the data showed that New York was the most expensive city, with an average daily hotel room rate of $198 and an average amount spent on entertainment, including group meals and tickets for shows, sports, and other events, of $172. In comparison, the U.S. averages for these two categories were $89 for the room rate and $99 for entertainment. The table in the Excel Online file below shows the average daily hotel room rate and the amount spent on entertainment for a random sample of 9 of the 25 most visited U.S. cities (The Wall Street Journal, August 18, 2011). Construct a spreadsheet to answer the following questions. City Hotel Room Rate ($) Entertainment ($) Boston 145 163 Denver 97 105 Nashville 93 101 New Orleans…
Sleep Late, a large hotel chain, has been using activity-based costing to determine the cost of a night’s stay at their hotels. One of the activities, “Inspection,” occurs after a customer has checked out of a hotel room. Sleep Late inspects every 10th room and has been using “number of rooms inspected” as the cost driver for inspection costs. A significant component of inspection costs is the cost of the supplies used in each inspection Mary Adams, the chief inspector, is wondering whether inspection labor-hours might be a better cost driver for inspection costs. Mary gathers information for weekly inspection costs, rooms inspected, and inspection labor-hours as follows: Q.Plot the data and regression line for rooms inspected and inspection costs. Plot the data and regression line for inspection labor-hours and inspection costs. Which cost driver of inspection costs would you choose? Explain.
TV Viewing Times. Data from a sample of Americans yielded the following estimates of average TV viewing time per month for all Americans 2 years old and older. The times are in hours and minutes; Q1 stands for first quarter. [SOURCE: The Cross-Platform Report, Quarter 1, 2011. Published by The Nielsen Company, _c 2011.]