The US States that rely on sales tax for revenue to fundeducation, public safety, and other programs often end upwith budget surpluses during economic growth periods(when people spend more on consumer goods) andbudget deficits during recessions (when people spend lesson consumer goods). Fifty-one small retailers in a statewith a growing economy were recently sampled. Thesample showed a mean increase of $2350 in additionalsales tax revenue collected per retailer compared to theprevious quarter. The sample standard deviation is equalto $425. Which population parameter is being described in theabove description?OfOpOP

According to the given information, we haveThe US states that rely on sales tax for revenue to fund…

Answered: The US States that rely on sales tax…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Benchmarks. Examine the following tables from the 2009 Financial Trend Monitoring Report for the Town of Oakdale that reports on fiscal year 2008. The performance indicators selected are total revenue and revenue per capita. The town provides three reference groups with which to compare Oakdale: Aaa-rated municipalities, comparison municipalities, and the state median. Since local government budgeting in this state is driven by the property tax levy cap, this is a key variable in comparing municipalities. Aaa-Rated Municipality FY08 Total Revenue FY08 Rev per Cap State Rank Comparison Municipality FY08 Total Revenue FY08 Rev per Cap State Rank Delta $ 49,794,904 $4,342 12 Dover $356,895,723 $3,521 27 Monroe 111,784,312 3,683 21 Oakdale 175,058,152 3,065 45 Schoolcraft 47,219,656 3,605 24 Cook 71,477,390 2,954…
Charlie Corporation's managers in the stamping department have been studying the overhead cost and the relationship with machine hours. The following are data from the most recent 12 months. Month Overhead Machine hours January 5,030 2,730 February 1,600 600 March 7,210 3,403 April 4,560 2,200 May 6,880 3,411 June 6,520 2,586 July 6,230 3,364 August 5,570 2,411 September 7,728 3,960 October 5,810 2,897 November 4,580 2,207 December 6,010 2,864 The manager of the department has requested a regression analysis of these two variables. The staff person performing the analysis decided to exclude February. She observed the volume of activity was very low for that month because of two factors: a severe flue outbreak and an electrical fire that disrupted operations for about 10 working days. Required: c. Using the least square (regression) analysis, compute the fixed cost. d. Using the least square (regression) analysis, how much are the estimated overheads for…
4. Straight As now, healthy later A study by Pamela Herd of the University of Wisconsin-Madison found a link between high-school grades and health. Analyzing data from the Wisconsin Longitudinal Study, which has tracked the lives of thousands of Wisconsin high-school graduates from the class of 1957, Herd found that students with higher grade-point averages were more likely to say they were in excellent or very good health in their early 60s. Does this mean people will live healthier lives if they increase their GPA? Explain.47
4. A college faculty collected data on his students' general weighted average in the first semester and their high school average grade. GWA 2.06 2.08 2.11 1.52 1.62 1.47 2.18 1.7 1.85 1.69 89 85 88 HS grade 92 GWA 93 85 87 89 89 95 2.03 2 1.46 1.27 2.06 1.26 2.14 2.2 1.29 1.96 HS grade 85 92 87 92 91 85 91 92 91 85 a. The correlation coefficient is b. The coefficient of determination is c. Based on the results of (a) and (b), what conclusions can you reach concerning general weighted average in the first semester and high school average grade. 60
Consider the following data representing the price of plasma televisions (in dollars). 1260, 1355, 1156, 1297, 1054, 1225, 1375, 1244, 1281, 1138, 1368, 1075, 1373, 1126, 1067, 1285, 1119, 1209, 1150, 1208, 1284 Class 1034-1093 1094-1153 1154-1213 1214-1273 1274-1333 1334-1393 Frequency Price of Plasma Televisions (in Dollars) Class Boundaries Midpoint Relative Frequency Copy Data Cumulative Frequency Step 6 of 7: Calculate the relative frequency of the third class. Determine your answer as a simplified fraction.
Socially conscious investors screen out stocks of alcohol and tobacco makers, firms with poor environmental records, and companies with poor labor practices. Some examples of "good," socially conscious companies are Johnson and Johnson, Dell Computers, Bank of America, and Home Depot. The question is, are such stocks overpriced? One measure of value is the P/E, or price-to-earnings ratio. High P/E ratios may indicate a stock is overpriced. For the S&P Stock Index of all major stocks, the mean P/E ratio is ? = 19.4. A random sample of 36 "socially conscious" stocks gave a P/E ratio sample mean of x = 17.8, with sample standard deviation s = 5.8. Does this indicate that the mean P/E ratio of all socially conscious stocks is different (either way) from the mean P/E ratio of the S&P Stock Index? Use ? = 0.05. I need help with sketching (d) and (e)
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An economist wonders if corporate productivity in some countries is more volatile than in other countries. One measure of a company's productivity is annual percentage yield based on total company assets.A random sample of leading companies in France gave the following percentage yields based on assets. 4.3 5.1 3.8 3.6 2.2 3.5 2.8 4.4 5.7 3.4 4.1 6.8 2.9 3.2 7.2 6.5 5.0 3.3 2.8 2.5 4.5 Use a calculator to verify that the sample variance is s2 ≈ 2.042 for this sample of French companies.Another random sample of leading companies in Germany gave the following percentage yields based on assets. 3.3 3.9 3.7 4.6 5.1 5.5 5.0 5.4 3.2 3.5 3.7 2.6 2.8 3.0 3.0 2.2 4.7 3.2 Use a calculator to verify that s2 ≈ 1.024 for this sample of German companies.Test the claim that there is a difference (either way) in the population variance of percentage yields for leading companies in France and Germany. Use a 5% level of significance. How could your test conclusion relate to the…
The following table provides data on access to running water in the home for a certain developing country in 2006. Use the table to find answers to the questions. Have running water in the home Do not have running water in the home 100% People in Urban Areas 90% 78,359,000 3,265,000 People in Rural Areas 18,559,000 7,217,000 What percent of people in that country have running water in the house? Round answers to the nearest percent and include the % sign in your answer. Note that this is the number of the people that have running water (both in rural an urban areas) divided by the total number of people in the country (107,400,000). BZW
A sample of 35 liberal-arts graduates yielded the following starting annual salaries. Data are in thousands of dollars, rounded to the nearest hundred dollars. 49.0 45.8 50.3 49.6 50.0 47.7 51.8 47.3 46.7 47.0 48.1 50.1 43.6 48.0 47.7 49.8 46.4 46.1 48.5 48.9 48.2 48.1 46.2 47.3 51.7 49.0 48.2 49.9 48.1 49.8 49.5 50.4 45.3 45.3 46.5 Construct a stem-and-leaf plot on a separate sheet of paper and answer the following questions based on your plot. a) Yes or No, the stems range from 43 to 51, inclusive. b) Yes or No, The stem 44 has no values associated with it. c) Yes or No, There are no commas in my stem and leaf plot. c) What is the shape of the distribution?
The price per share of stock for a sample of 25 companies was recorded at the beginning of the first financial quarter and then again at the end of the first financial quarter. How stocks perform during the first financial quarter is an indicator of what is ahead for the stock market and the economy. Company End of 1st quarter Beginning of 1st quarter Bank of New York Mellon 54.19 53.82 Kraft Foods 55.70 77.02 E.I. du Pont de Nemours and Company 102.57 109.00 Consolidated Edison 79.95 83.58 Johnson & Johnson 126.01 139.23 Union Pacific 132.73 135.78 Comcast 32.06 41.07 Applied Materials 50.91 53.04 Pfizer 35.40 36.44 General Electric 14.05 17.98 AT&T 32.54 38.54 Cisco Systems 44.83 38.86 Home Depot 184.63 188.03 JP Morgan Chase 108.78 107.95 Procter & Gamble 71.96 90.65 Verizon 48.82 53.53 Devon Energy 36.20 42.23 Lilly 79.07 84.68 Microsoft 95.00 85.95 Coca Cola 42.59 45.59 Qualcomm 50.82 65.20 Exxon Mobil Corporation 76.95…

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