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Question: A survey was conducted in two Virginia

A survey was conducted in two Virginia cities to determine voter sentiment about two gubernatorial candidates in an upcoming election. Five hundred voters were randomly selected from each city and the following data were recorded:
A survey was conducted in two Virginia cities to determine voter sentiment about two gubernatorial candidates in an upcoming election. Five hundred voters were randomly selected from each city and the following data were recorded:


At the 0.05 level of significance, test the null hypothesis that proportions of voters favoring candidate A, favoring candidate B, and undecided are the same for each city.

At the 0.05 level of significance, test the null hypothesis that proportions of voters favoring candidate A, favoring candidate B, and undecided are the same for each city.





Transcribed Image Text:

City Voter Sentiment Richmond Norfolk Favor A 204 225 Favor B 211 198 Undecided 85 77


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> Compare the wording in the standard unmodified opinion audit report for a nonpublic entity under AICPA auditing standards in Figure 3-1 (p. 49) with the wording for a public company audit under PCAOB auditing standards in Figure 3-3 (p. 54). How are the

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> In Figure 13-4, explain the differences among C3, C2, and C1. Explain the circumstances under which it would be a good decision to obtain audit assurance from substantive tests at point C1. Do the same for points C2 and C3. Figure 13-4: Audit Assur

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> At what two levels does the auditor assess the risk of material misstatement?

> What is the purpose of the Principles of Professional Conduct? Identify the six principles.

> Explain the difference between known and likely misstatements. Assume the auditor tests a sample of $100,000 of inventory and finds misstatements totaling $5,000. What is the likely misstatement if the account balance is $500,000?

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> A study was made to determine whether more Italians than Americans prefer white champagne to pink champagne at weddings. Of the 300 Italians selected at random, 72 preferred white champagne, and of the 400 Americans selected, 70 preferred white champagne

> A geneticist is interested in the proportions of males and females in a population who have a certain minor blood disorder. In a random sample of 100 males, 31 are found to be afflicted, whereas only 24 of 100 females tested have the disorder. Can we con

> State the null and alternative hypotheses to be used in testing the following claims and determine generally where the critical region is located: (a) The mean snowfall at Lake George during the month of February is 21.8 centimeters. (b) No more than 20%

> In a study to estimate the proportion of wives who regularly watch soap operas, it is found that 52 of 200 wives in Denver, 31 of 150 wives in Phoenix, and 37 of 150 wives in Rochester watch at least one soap opera. Use a 0.05 level of significance to te

> A survey was conducted in Indiana, Kentucky, and Ohio to determine the attitude of voters concerning school busing. A poll of 200 voters from each of these states yielded the following results: At the 0.05 level of significance, test the null hypothesi

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> A college infirmary conducted an experiment to determine the degree of relief provided by three cough remedies. Each cough remedy was tried on 50 students and the following data recorded: Test the hypothesis that the three cough remedies are equally ef

> The following responses concerning the standard of living at the time of an independent opinion poll of 1000 households versus one year earlier seem to be in agreement with the results of a study published in Across the Board (June 1981): Test the hypo

> According to a Johns Hopkins University study published in the American Journal of Public Health, widows live longer than widowers. Consider the following survival data collected on 100 widows and 100 widowers following the death of a spouse: Can we co

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> Hydrocarbon emissions from cars are known to have decreased dramatically during the 1980s. A study was conducted to compare the hydrocarbon emissions at idling speed, in parts per million (ppm), for automobiles from 1980 and 1990. Twenty cars of each mod

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> Past experience indicates that the time required for high school seniors to complete a standardized test is a normal random variable with a standard deviation of 6 minutes. Test the hypothesis that σ = 6 against the alternative thatσ < 6 if a random samp

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> Show the necessary steps in converting the equation to the equivalent form b1 t = ryn-2 V1-r2

> Suppose that an experimenter postulates a model of the type Yi = &Icirc;&sup2;0 + &Icirc;&sup2;1x1i + &acirc;&#130;&not;i i= 1, 2, . . . , n, when in fact an additional variable, say x2, also contributes linearly to the response. The true model is then g

> In Review Exercise 11.62, the student was required to show that simple linear regression model. Does the same hold for a model with zero intercept? Show why or why not. Exercise 11.62: Show, in the case of a least squares fit to the simple linear regr

> Consider the situation of Review Exercise 11.62 but suppose n = 2 (i.e., only two data points are available). Give an argument that the least squares regression line will result in (y1 &acirc;&#136;&#146; &Euml;&#134;y1) = (y2 &acirc;&#136;&#146; &Euml;&

> Show, in the case of a least squares fit to the simple linear regression model Yi = &Icirc;&sup2;0 + &Icirc;&sup2;1xi + &acirc;&#130;&not;i, i= 1, 2, . . . , n, that E (4. – ŷ.) = E es = 0. i=1 1=1

> For a simple linear regression model Yi = &Icirc;&sup2;0 + &Icirc;&sup2;1xi + &acirc;&#130;&not;i, i= 1, 2, . . . , n, where the i are independent and normally distributed with zero means and equal variances &Iuml;&#131;2, show that &Acirc;&macr; Y and

> Assuming that the i are independent and normally distributed with zero means and common variance &Iuml;&#131;2, show that B0, the least squares estimator of &Icirc;&sup2;0 in &Icirc;&frac14;Y |x = &Icirc;&sup2;0 + &Icirc;&sup2;1x, is normally distributed

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> Suppose a scientist postulates a model Yi = β0 + β1xi + €i, i = 1, 2, . . . , n, and β0 is a known value, not necessarily zero. (a) What is the appropriate least squares estimator of β1? Justify your answer. (b) What is the variance of the slope estimat

> Physical fitness testing is an important aspect of athletic training. A common measure of the magnitude of cardiovascular fitness is the maximum volume of oxygen uptake during strenuous exercise. A study was conducted on 24 middle-aged men to determine t

> Observations on the yield of a chemical reaction taken at various temperatures were recorded as follows: (a) Plot the data. (b) Does it appear from the plot as if the relationship is linear? (c) Fit a simple linear regression and test for lack of fit.

> Consider the vehicle data from Consumer Reports in Figure 11.30 on page 440. Weight is in tons, mileage in miles per gallon, and drive ratio is also indicated. A regression model was fitted relating weight x to mileage y. A partial SAS printout in Figure

> The business section of the Washington Times in March of 1997 listed 21 different used computers and printers and their sale prices. Also listed was the average hover bid. Partial results from regression analysis using SAS software are shown in Figure 11

> The following data represent the chemistry grades for a random sample of 12 freshmen at a certain college along with their scores on an intelligence test administered while they were still seniors in high school. (a) Compute and interpret the sample co

> An experiment was designed for the Department of Materials Engineering at Virginia Tech to study hydrogen embrittlement properties based on electrolytic hydrogen pressure measurements. The solution used was 0.1 N NaOH, and the material was a certain type

> With reference to Exercise 11.9 on page 399, construct (a) a 95% confidence interval for the average weekly sales when $45 is spent on advertising; (b) a 95% prediction interval for the weekly sales when $45 is spent on advertising. Exercise 11.9: A stu

> The amounts of solids removed from a particular material when exposed to drying periods of different lengths are as shown. (a) Estimate the linear regression line. (b) Test at the 0.05 level of significance whether the linear model is adequate. x (

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