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About 77631 results. 1294 free access solutions
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| m7048 | Calculate the mean dollar amount and the standard deviation for the dollar amounts charged to a Visa account at Florin s Flower Shop. Data are stored in the data file Florin. |
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| m7049 | Calculate the width for each of the following.
a. n = 6; s = 40; α = 0.05
b. n = 22; s2 = 400; α = 0.01
c. n = 25; s = 50; α = 0.10 |
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| m7050 | Candidates for employment at a city fire department are required to take a written aptitude test. Scores on this test are normally distributed with a mean of 280 and a standard deviation of 60. A random sample of nine test scores was taken.
a. What is the standard error of the sample mean score?
b. What is the probability that the sample mean score is less than 270?
c. What is the probability that the sample mean score is more than 250?
d. Suppose that the population standard deviation is, in fact, 40, rather than 60. Without doing the calculations, state how this would change your answers to parts (a), (b), and (c). Illustrate your conclusions with the appropriate graphs. |
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| m7051 | Carefully distinguish between the one-way analysis of variance framework and the two-way analysis of variance framework. Give examples different from those discussed in the text and exercises of business problems for which each might be appropriate. |
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| m7052 | Carefully explain the distinction between stratified random sampling and cluster sampling. Provide illustrations of sampling problems where each of these techniques might be useful. |
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| m7053 | Carefully explain what is meant by the interaction effect in the two-way analysis of variance with more than one observation per cell. Give examples of this effect in business-related problems. |
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| m7054 | Carefully explain what is meant by the p-value of a test, and discuss the use of this concept in hypothesis testing. |
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| m7055 | Charles Thorson has asked you to determine the mean and variance for a portfolio that consists of 100 shares of stock from each of the following firms: 3M Company, Alcoa, Inc., Intel Corporation, Potlatch Corp., General Motors, and Sea Containers. Using the data file Stock Price File, compute the mean and variance for this portfolio. Assuming that the portfolio price is normally distributed determine the narrowest interval that contains 95% of the distribution of portfolio value. |
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| m7056 | Charlie Ching has asked you to analyze the possibility of including Seneca Foods and Safeco in his portfolio. Data for this task are contained in the data file Return on Stock Price 60 Months. Compute the beta coefficients for the stock price growth for each stock. Then construct a portfolio that includes equal dollar value for both stocks. Compute the beta coefficient for that portfolio. Compare the mean and variance for the portfolio with the S & P 500. What is your recommendation regarding the inclusion of these two stocks in Charlie s portfolio? |
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| m7057 | Comment on the following statement: We know that all business and economic time series exhibit variability through time. Yet if simple exponential smoothing is used, the same forecast results for all future values of the time series. Since we know that all future values will not be the same, this is absurd. |
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| m7058 | Complete the following for the (x, y) pairs of data points (1, 5), (3, 7), (4, 6), (5, 8), and (7, 9).
a. Prepare a scatter plot of these data points.
b. Compute b1.
c. Compute b0.
d. What is the equation of the regression line? |
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| m7059 | Compute SSR, SSE, s2e, and the coefficient of determination, given the following statistics computed from a random sample of pairs of X and Y observations. |
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| m7060 | Compute the coefficients b1 and b2 for the regression model
y`i = b0 + b1x1i + b2x2i
given the following summary statistics.
a. rx1y = 0.60, rx2y = 0.70, rx1x2 = 0.50,
sx1 = 200, sx2 = 100, sy = 400
b. rx1y = -0.60, rx2y = 0.70, rx1x2 = -0.50,
sx1 = 200, sx2 = 100, sy = 400
c. rx1y = 0.40, rx2y = 0.450, rx1x2 = 0.80,
sx1 = 200, sx2 = 100, sy = 400
d. rx1y = 0.60, rx2y = -0.50, rx1x2 = -0.60,
sx1 = 200, sx2 = 100, sy = 400 |
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| m7061 | Compute the coefficients for a least squares regression equation and write the equation, given the following sample statistics.
a. x-bar = 50, y-bar = 100, sx = 25, sy = 75, rxy = 0.6, n = 60
b. x-bar = 60, y-bar = 210, sx = 35, sy = 65, rxy = 0.7, n = 60
c. x-bar = 20, y-bar = 100, sx = 60, sy = 78, rxy = 0.75, n = 60
d. x-bar = 10, y-bar = 50, sx = 100, sy = 75, rxy = 0.4, n = 60
e. x-bar = 90, y-bar = 200, sx = 80, sy = 70, rxy = 0.6, n = 60 |
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| m7062 | Compute the probability of 3 successes in a random sample of size n = 5 obtained from a population of size N = 40 that contains 25 successes. |
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| m7063 | Compute the probability of 7 successes in a random sample of size n = 14 obtained from a population of size N = 30 that contains 15 successes. |
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| m7064 | Compute the probability of 8 successes in a random sample of size n = 15 obtained from a population of size N = 100 that contains 50 successes. |
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| m7065 | Compute the probability of 9 successes in a random sample of size n = 20 obtained from a population of size N = 80 that contains 42 successes. |
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| m7066 | Compute the variance and standard deviation of the following sample data:
6 8 7 10 3 5 9 8 |
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| m7067 | Compute the variance and standard deviation of the following sample data:
3 0 -2 -1 5 10 |
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