For many years, businesses have struggled with the rising cost of health care. But recently, the increases have slowed due to less inflation in health care prices and employeespaying for a larger portion of health care benefits. A recent survey showed that 58% of employers are likely to require higher employee contributions for health care coveragethis year relative to last year. Suppose the survey was based on a sample of 900 companies likely to require higher employee contributions for health care coverage this yearrelative to last year.At 95% confidence, compute the margin of error for the proportion of companies likely to require higher employee contributions for health care coverage. (Round your answerto four decimal places.)Compute a 95% confidence interval for the proportion of companies likely to require higher employee contributions for health care coverage. (Round your answers to fourdecimal places.)to

sample size (n) = 900p^ = 0.5895% ci p.

Answered: For many years, businesses have…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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In order to determine a realistic price for a new product that a company wants to market the company’s research department selected 10 sites thought to have essentially identical sales potential and offered the product in each at a different price. The resulting sales are recorded in the accompanying table: Price ($) Sales ($1,000s) 15.00 15 15.50 14 16.00 16 16.50 9 17.00 12 17.50 10 18.00 8 18.50 9 19.00 6 19.50 5 a). Explain carefully, which of the variables above is the independent variable and which is the dependent variable.
The shrinking rainy day fund. On October 5 2015 The Boston Globe published a story headlined "state's rainy day fund has dwindled over the past decade" that said (in part): In the summer of 2007, before the massive recession began, the rainy day fund had $2.3 billion --a cushion of about 7.8 percent of total state spending, according to the Taxpayers Foundation. This summer the rainy day balance stood at $1.1 billion--about 2.7 percent of total state spending, a fraction small enough to raise a red flag for analysis. What is the percentage change in total state spending between the summer of 2007 and this past summer?
The following table reports a portion of the annual returns (in percent) for these two funds from 2000–2016. Data for Case Study 3.2 Returns (in percent) for Janus Funds Year Balanced Overseas 2000-2.16-18.57 2001-5.04-23.11 2002-6.56-23.89 2003-13.74-36.79 2004-8.71-18.58 2005-7.75-32.39 2006-10.56-47.21 2007-10.15-27.76 2008-15.22-52.75 2009-24.28-78.12 2010-7.83-19.28 2011-1.44-32.78 2012-13.07-12.42 2013-19.72-12.1 2014-8.46-13.72 2015-0.60-8.55 2016-4.51-6.91 In a report, use the sample information to 1. Calculate measures of central location to describe the similarities and the differences in these two funds’ returns. 2. Calculate measures of dispersion to assess the risk of each fund. 3. Calculate and interpret measures of correlation between the two funds.
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Meier and Frank is a chain of department stores located in the Northwest. The company has issued its own credit cards for a number of years. As a new employee in the finance department, imagine that you have been assigned to a major investigation of the firm’s credit policies designed to reduce bad debt losses. You are requested to investigate the relationship between marital status at the time the card is issued and the subsequent payment record of the individual. You randomly select 100 credit cards issued three years previously. Of the 70 individuals that were married at the time the cards were issued, 11 have defaulted on a payment. Of the 30 individuals who were single when the cards were issued, 7 have defaulted. Do these data present sufficient evidence to indicate that marital status affects credit-worthiness? Use Alpha = 0.05.
Given below are the monthly values of the S&P 500 Index. Suppose that in each month you had written an out-of-the-money put option on one unit of the index with an exercise price 5% lower than the current value of the index. End of month S&P 500 End of month S&P 500 End of month S&P 500 End of month S&P 500 September-77 96.53 April-80 106.29 November-82 138.53 July-85 191.85 October-77 92.34 May-80 111.24 December-82 140.64 August-85 190.92 November-77 94.83 June-80 114.24 January-83 145.30 September-85 188.63 December-77 95.10 July-80 121.67 February-83 148.06 October-85 182.08 January-78 89.25 August-80 122.38 March-83 152.96 November-85 189.82 February-78 87.04 September-80 125.46 April-83 164.43 December-85 202.17 March-78 89.21 October-80 127.47 May-83 162.39 January-86 211.28 April-78 96.83 November-80 140.52 June-83 167.64 February-86 226.92 May-78 97.24 December-80 135.76 July-83 162.56 March-86 238.90 June-78 95.53 January-81…
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