Refer to the table below:Year19501960197019801990200020102020Participation Rates(Age 16 and Older)Men86.483.379.777.476.474.771.269.2Women33.937.743.351.557.560.058.657.4Instructions: Round your responses to one decimal place. If you are entering any negative numbers be sure to include a negative sign(-) in front of those numbers.Between 1980 and 2020, by how many percentage points did the labor force participation rate ofa. men change?b. women change?

The formula for calculating percentage change in an economic variable X between two periods:…

Answered: Refer to the table below: Year 1950…

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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What statistic does Richard Freeman say that if an economist had predicted it, he/she would have been carted away as mad?
Forecast the average number of viewers during the 2009 season using a three-period weighted moving average with weights 3, 2, and 1, applying 3 to the most recent data and 1 to the oldest data.
The Wall Street Journal’s website, www.wsj.com, reported the number of cars and light-duty trucks sold through October of 2014 and October of 2015. The top sixteen manufacturers are listed here. The sales information for all manufacturers can be accessed in a data file below. Sales data are often reported in this way to compare current sales to last year’s sales. Year-to-Date Sales Manufacturer Through October 2015 Through October 2014 General Motors Corp. 2,562,840 2,434,707 Ford Motor Company 2,178,587 2,065,612 Toyota Motor Sales USA Inc. 2,071,446 1,975,368 Chrysler 1,814,268 1,687,313 American Honda Motor Co Inc. 1,320,217 1,281,777 Nissan North America Inc. 1,238,535 1,166,389 Hyundai Motor America 638,195 607,539 Kia Motors America Inc. 526,024 489,711 Subaru of America Inc. 480,331 418,497 Volkswagen of America Inc. 294,602 301,187 Mercedes-Benz 301,915 281,728 BMW of North America Inc.…
The ratio 10:9 can be represented using which decimal? a. 0.9 b. 0.09 c. 0.43 d. 1.11
A polling company reported that 33% of 2286 surveyed adults said that they play football. Complete parts (a) through (d) below. C a. What is the exact value that is 33% of 2286? The exact value is (Type an integer or a decimal.) b. Could the result from part (a) be the actual number of adults who said that they play football? Why or why not? O A. No, the result from part (a) could not be the actual number of adults who said that they play football because that is a very rare activity. O B. Yes, the result from part (a) could be the actual number of adults who said that they play football because the results are statistically significant. O C. Yes, the result from part (a) could be the actual number of adults who said that they play football because the polling numbers are accurate. O D. No, the result from part (a) could not be the actual number of adults who said that they play football because a count of people must result in a whole number. c. What could be the actual number of…
Macmillan Learning Consider the CEO of a company that sells coffee at small free standing shops around the country. The Board of Directors is considering increasing the number of locations in an effort to increase total revenue, ceteris paribus. Use the data to determine if revenue is responsive to the number of locations. Use the midpoint method to calculate percentages. Number of locations Total revenue Calculate the percentage change in locations. 2012 3000 $60 million Calculate the percentage change in total revenue. Based on the CEO's analysis, he reports to the Board that total revenue is inelastic with respect to the number of locations. total revenue is unit elastic with respect to the number of locations. total revenue is elastic with respect to the number of locations. 2013 3750 $75 million percentage change in total revenue: percentage change in locations: % %
The following relative frequency distribution summarizes the ages of women who had a child in the last year. Ages 15 up to 20 20 up to 25 25 up to 30 30 up to 35 35 up to 40 40 up to 45 Relative Frequency 0.10 0.25 0.28 0.24 0.11 0.02 i. Write the values of the cumulative relative frequency distribution. ii. What percent of the women were at least 25 but less than 35 years old? iii. Assume the relative frequency distribution is based on a sample of 2,000 women. How many women were less than 30 years old?
Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.
Shack Homebuilders Limited is evaluating a new promotional campaign that could increase home sales. Possible outcomes and probabilities of the outcomes are shown next. Possible Outcomes Ineffective campaign Normal response Extremely effective Additional Sales in Coefficient of variation Units 50 70 130 Probabilities 0.40 0.30 0.30 Compute the coefficient of variation. Note: Do not round intermediate calculations. Round your answer to 3 decimal places.
The number of times a sound wave vibrates in one second is called: a) Amplitude b) Frequency c) Wavelength d) Speed
Each term (3 months) the current group of economics students completed a questionnaire as to how much they would spend on new purchases compared to how much they would save/pay off bills, if they suddenly and unexpectedly received a check for $1,000. The average MPC is shown in the table below. Month in which student poll was taken Average of students’ responses as MPC March 0.41 June 0.30 September 0.22 December 0.56 What do these MPC’s imply about the students’ thinking over the course of the year? (Enter response here.) What is likely happening in the economy during the same period of time?
A10

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