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free/or 0.5$ |
| m644 | Listed below are the commissions earned ($000) last year by the 15 sales representatives at Furniture Patch Inc.
a. Determine the mean, median, and the standard deviation.
b. Determine the coefficient of skewness using Pearson’s method.
c. Determine the coefficient of skewness using the softwaremethod. |
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| m645 | Listed below are the net sales for a San Francisco–area mail-order retailer for the years 2003 to 2012. Use the mean sales for the earliest three years to determine a base and then find the index for 2011 and 2012. By how much have net sales increased from the baseperiod? |
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| m646 | Listed below are the net sales (in millions of euros) for the Adidas Group from 2008 to 2012.
Year Net Sales
2008 ........ 10,799
2009 ........ 10,381
2010 ........ 11,990
2011 ........ 13,332
2012 ........ 14,883
a. Determine the index for 2012, using 2008 as the base period.
b. Use the period 2008 to 2010 as the base period and find the index for 2012.
c. With 2008 as the base year, use the least squares method to find the trend equation. What is the estimated consolidated revenue for 2014? What is the rate of increase per year? |
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| m647 | Listed below are the salaries for the 2012 New York Yankees Major League Baseball team.
a. Determine the mean, median, and the standard deviation.
b. Determine the coefficient of skewness using Pearson’s method.
c. Determine the coefficient of skewness using the softwaremethod. |
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| m648 | Listed below are the salaries, in $000, for a sample of 15 chief financial officers in the electronics industry.
a. Determine the mean, median, and the standard deviation.
b. Determine the coefficient of skewness using Pearson’s method.
c. Determine the coefficient of skewness using the softwaremethod. |
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| m649 | Listed below are the weights (in grams) of a sample of M&M’s Plain candies, classified according to color. Use a statistical software system to determine whether there is a difference in the mean weights of candies of different colors. Use the .05 significancelevel. |
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| m650 | Listed below is the number of movie tickets sold at the Library Cinema-Complex, in thousands, for the period from 2001 to 2013. Compute a five-year weighted moving average using weights of .1, .1, .2, .3, and .3, respectively. Describe the trend in yield.
.:. |
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| m651 | Listed below is the number of rooms rented at Plantation Resorts of Georgia for the years from 2003 to 2013.
Determine the least squares equation. According to this information, what is the estimated number of rentals for2014? |
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| m652 | Listed below is the per capita income for the 50 states and the District of Columbia.
Use a statistical software package such as Excel or Minitab to help answer the following questions.
a. Determine the mean, median, and standard deviation.
b. Determine the first and third quartiles.
c. Develop a box plot. Are there any outliers? Do the amounts follow a symmetric distribution or are they skewed? Justify your answer.
d. Organize the distribution of funds into a frequencydistribution. |
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| m653 | Listed below is the population by state for the 15 states with the largest population. Also included is whether that state’s border touches the Gulf of Mexico, the Atlantic Ocean, or the Pacific Ocean (coastline).
Note that 5 of the 15 states do not have any coastline. Suppose three states are selected at random. What is the probability that:
a. None of the states selected has any coastline?
b. Exactly one of the selected states has a coastline?
c. At least one of the selected states has acoastline? |
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| m654 | Listed below is the rate of return for one year (reported in percent) for a sample of 12 mutual funds that are classified as taxable money market funds.
Using the .05 significance level, is it reasonable to conclude that the mean rate of return is more than4.50%? |
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| m655 | Listed below is the selling price for a share of Oracle Inc. stock at the close of the year for 1990 through 2012.
a. Plot the data.
b. Determine the least squares trend equation. Use both the actual stock price and the logarithm of the price. Which seems to yield a more accurate forecast?
c. Using the equation with the logarithm of price, calculate the points for the years 1993 and 1998.
d. Using the equation with the logarithm of price, estimate the selling price in 2015. Does this seem like a reasonable estimate based on the historical data?
e. Using the equation with the logarithm of price, how much has the stock price increased or decreased (per year) on average during the period? |
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| m656 | Listed below is the selling price for a share of PepsiCo Inc. at the close of each year from 1990 to 2012.
.:.
a. Plot the data.
b. Determine the least squares trend equation.
c. Calculate the points for the years 1995 and 2000.
d. Estimate the selling price in 2016. Does this seem like a reasonable estimate based on the historical data?
e. By how much has the stock price increased or decreased (per year) on average during the period? |
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| m657 | Listed next are the 27 Nationwide Insurance agents in the Toledo, Ohio, metropolitan area. The agents are identified by numbering them 00 through 26. We would like to estimate the mean number of years employed with Nationwide.
a. We want to select a random sample of four agents. The random numbers are 02, 59, 51, 25, 14, 29, 77, 69, and 18. Which dealers would be included in the sample?
b. Use the table of random numbers to select your own sample of four agents.
c. A sample is to consist of every seventh dealer. The number 04 is selected as the starting point. Which agents will be included in thesample? |
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| m658 | Long Last Tire Company, as part of its inspection process, tests its tires for tread wear under simulated road conditions. Twenty samples of three tires each were selected from different shifts over the last month of operation. The tread wear is reported below in hundredths of an inch.
a. Determine the control limits for the mean and the range.
b. Plot the control limits for the mean tread wear and the range.
c. Are there any points on the mean or the range chart that are “out of control”? Comment on thechart. |
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| m659 | A lot contains 15 castings from a local supplier and 25 castings from a supplier in the next state. Two castings are selected randomly, without replacement, from the lot of 40.
Let A be the event that the first casting selected is from the local supplier, and let B denote the event that the second casting is selected from the local supplier. Determine:
(a) P (A)
(b) P (B|A)
(c) P (A ∩ B)
(D) P (A U B) |
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| m660 | A lot of 100 semiconductor chips contains 20 that are defective. Two are selected randomly, without replacement, from the lot.
(a) What is the probability that the first one selected is defective?
(b) What is the probability that the second one selected is defective given that the first one was defective?
(c) What is the probability that both are defective?
(d) How does the answer to part (b) change if chips selected were replaced prior to the next selection? |
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| m661 | A lot of 100 semiconductor chips contains 20 that are defective.
(a) Two are selected, at random, without replacement, from the lot. Determine the probability that the second chip selected is defective.
(b) Three are selected, at random, without replacement, from the lot. Determine the probability that all are defective. |
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| m662 | A lot of 140 semiconductor chips is inspected by choosing a sample of five chips. Assume 10 of the chips do not conform to customer requirements.
(a) How many different samples are possible?
(b) How many samples of five contain exactly one nonconforming chip?
(c) How many samples of five contain at least one nonconforming chip? |
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| m663 | A lot of 50 spacing washers contains 30 washers that are thicker than the target dimension. Suppose that three washers are selected at random, without replacement, from the lot.
(a) What is the probability that all three washers are thicker than the target?
(b) What is the probability that the third washer selected is thicker than the target if the first two washers selected are thinner than the target?
(c) What is the probability that the third washer selected is thicker than the target? |
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