Modern Business Statistics with Microsoft Excel (MindTap Course List)
5th Edition
ISBN: 9781285433301
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams
Publisher: Cengage Learning
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Textbook Question
Chapter 9, Problem 47SE
Scholarship Examination Scores. At Western University the historical
- a. State the hypotheses.
- b. What is the 95% confidence
interval estimate of the population mean examination score if a sample of 200 applications provided a sample mean - c. Use the confidence interval to conduct a hypothesis test. Using α = .05, what is your conclusion?
- d. What is the p-value?
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20 km, because
GISS
Worksheet 10
Jesse runs a small business selling and delivering mealie meal to the spaza shops.
He charges a fixed rate of R80, 00 for delivery and then R15, 50 for each packet of
mealle meal he delivers. The table below helps him to calculate what to charge
his customers.
10
20
30
40
50
Packets of mealie
meal (m)
Total costs in Rands
80
235
390
545
700
855
(c)
10.1.
Define the following terms:
10.1.1. Independent Variables
10.1.2. Dependent Variables
10.2.
10.3.
10.4.
10.5.
Determine the independent and dependent variables.
Are the variables in this scenario discrete or continuous values? Explain
What shape do you expect the graph to be? Why?
Draw a graph on the graph provided to represent the information in the
table above.
TOTAL COST OF PACKETS OF MEALIE MEAL
900
800
700
600
COST (R)
500
400
300
200
100
0
10
20
30
40
60
NUMBER OF PACKETS OF MEALIE MEAL
Let X be a random variable with support SX = {−3, 0.5, 3, −2.5, 3.5}. Part ofits probability mass function (PMF) is given bypX(−3) = 0.15, pX(−2.5) = 0.3, pX(3) = 0.2, pX(3.5) = 0.15.(a) Find pX(0.5).(b) Find the cumulative distribution function (CDF), FX(x), of X.1(c) Sketch the graph of FX(x).
Chapter 9 Solutions
Modern Business Statistics with Microsoft Excel (MindTap Course List)
Ch. 9.1 - 1. The manager of the Danvers-Hilton Resort Hotel...Ch. 9.1 - 2. The manager of an automobile dealership is...Ch. 9.1 - 3. A production line operation is designed to fill...Ch. 9.1 - 4. Because of high production-changeover time and...Ch. 9.2 - 5. Duke Energy reported that the cost of...Ch. 9.2 - Prob. 6ECh. 9.2 - Carpet Salesperson Salaries. Carpetland...Ch. 9.2 - 8. Suppose a new production method will be...Ch. 9.3 - Consider the following hypothesis test:
A sample...Ch. 9.3 - Prob. 10E
Ch. 9.3 - Consider the following hypothesis test:
A sample...Ch. 9.3 - Prob. 12ECh. 9.3 - Prob. 13ECh. 9.3 - Prob. 14ECh. 9.3 - Federal Tax Returns. According to the IRS,...Ch. 9.3 - In a study entitled How Undergraduate Students Use...Ch. 9.3 - The mean hourly wage for employees in...Ch. 9.3 - Young millennials, adults aged 18 to 34, are...Ch. 9.3 - The Internal Revenue Service (IRS) provides a...Ch. 9.3 - Prescription Drug Costs. Annual expenditure for...Ch. 9.3 - Cost of Telephone Surveys. Fowle Marketing...Ch. 9.3 - Time in Supermarket Checkout Lines. CCN and...Ch. 9.4 - Consider the following hypothesis test:
A sample...Ch. 9.4 - Consider the following hypothesis test:
A sample...Ch. 9.4 - Consider the following hypothesis test:
A sample...Ch. 9.4 - Prob. 26ECh. 9.4 - Which is cheaper: eating out or dining in? The...Ch. 9.4 - CEO Tenure. A shareholders’ group, in lodging a...Ch. 9.4 - The national mean annual salary for a school...Ch. 9.4 - Time in Child Care. The time married men with...Ch. 9.4 - Prob. 31ECh. 9.4 - Used Car Prices. According to the National...Ch. 9.4 - Prob. 33ECh. 9.4 - Prob. 34ECh. 9.5 - Consider the following hypothesis test:
A sample...Ch. 9.5 - Prob. 36ECh. 9.5 - Prob. 37ECh. 9.5 - Attitudes toward Supermarket Brands. A study by...Ch. 9.5 - Prob. 39ECh. 9.5 - Prob. 40ECh. 9.5 - Ten years ago 53% of American families owned...Ch. 9.5 - Returned Merchandise. According to the University...Ch. 9.5 - Prob. 43ECh. 9.5 - Prob. 44ECh. 9.5 - The American Association of Individual Investors...Ch. 9 - Production Line Fill Weights. A production line...Ch. 9 - Scholarship Examination Scores. At Western...Ch. 9 - Exposure to Background Television. CNN reports...Ch. 9 - Prob. 49SECh. 9 - Prob. 50SECh. 9 - Prob. 51SECh. 9 - Prob. 52SECh. 9 - In Hamilton County, Ohio, the mean number of days...Ch. 9 - Prob. 54SECh. 9 - Prob. 55SECh. 9 - Prob. 56SECh. 9 - The unemployment rate for 18- to 34-year-olds was...Ch. 9 - Prob. 58SECh. 9 - In recent years more people have been working past...Ch. 9 - Case Problem 1 Quality Associates, Inc.
Quality...Ch. 9 - Case problem 2 Ethical Behavior of Business...
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- A well-known company predominantly makes flat pack furniture for students. Variability with the automated machinery means the wood components are cut with a standard deviation in length of 0.45 mm. After they are cut the components are measured. If their length is more than 1.2 mm from the required length, the components are rejected. a) Calculate the percentage of components that get rejected. b) In a manufacturing run of 1000 units, how many are expected to be rejected? c) The company wishes to install more accurate equipment in order to reduce the rejection rate by one-half, using the same ±1.2mm rejection criterion. Calculate the maximum acceptable standard deviation of the new process.arrow_forward5. Let X and Y be independent random variables and let the superscripts denote symmetrization (recall Sect. 3.6). Show that (X + Y) X+ys.arrow_forward8. Suppose that the moments of the random variable X are constant, that is, suppose that EX" =c for all n ≥ 1, for some constant c. Find the distribution of X.arrow_forward
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- 3. Let X1, X2,..., X, be independent, Exp(1)-distributed random variables, and set V₁₁ = max Xk and W₁ = X₁+x+x+ Isk≤narrow_forward7. Consider the function (t)=(1+|t|)e, ER. (a) Prove that is a characteristic function. (b) Prove that the corresponding distribution is absolutely continuous. (c) Prove, departing from itself, that the distribution has finite mean and variance. (d) Prove, without computation, that the mean equals 0. (e) Compute the density.arrow_forward1. Show, by using characteristic, or moment generating functions, that if fx(x) = ½ex, -∞0 < x < ∞, then XY₁ - Y2, where Y₁ and Y2 are independent, exponentially distributed random variables.arrow_forward
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