 Chapter 6.1: Compute the mean and variance of the following discrete probability...
 Chapter 6.2: Compute the mean and variance of the following discrete probability...
 Chapter 6.3: Compute the mean and variance of the following probability distribu...
 Chapter 6.4: Which of these variables are discrete and which are continuous rand...
 Chapter 6.5: The information below is the number of daily emergency service call...
 Chapter 6.6: The director of admissions at Kinzua University in Nova Scotia esti...
 Chapter 6.7: Belk Department Store is having a special sale this weekend. Custom...
 Chapter 6.8: The Downtown Parking Authority of Tampa, Florida, reported the foll...
 Chapter 6.9: In a binomial situation, n 4 and .25. Determine the probabilities o...
 Chapter 6.10: In a binomial situation, n 5 and .40. Determine the probabilities o...
 Chapter 6.11: Assume a binomial distribution where n 3 and .60. a. Refer to Appen...
 Chapter 6.12: Assume a binomial distribution where n 5 and .30. a. Refer to Appen...
 Chapter 6.13: An American Society of Investors survey found 30 percent of individ...
 Chapter 6.14: The United States Postal Service reports 95 percent of first class ...
 Chapter 6.15: Industry standards suggest that 10 percent of new vehicles require ...
 Chapter 6.16: A telemarketer makes six phone calls per hour and is able to make a...
 Chapter 6.17: A recent survey by the American Accounting Association revealed 23 ...
 Chapter 6.18: It is reported that 16 percent of American households use a cell ph...
 Chapter 6.19: In a binomial distribution, n 8 and .30. Find the probabilities of ...
 Chapter 6.20: In a binomial distribution, n 12 and .60. Find the following probab...
 Chapter 6.21: In a recent study, 90 percent of the homes in the United States wer...
 Chapter 6.22: A manufacturer of window frames knows from long experience that 5 p...
 Chapter 6.23: The speed with which utility companies can resolve problems is very...
 Chapter 6.24: It is asserted that 80 percent of the cars approaching an individua...
 Chapter 6.25: A CD contains 10 songs; 6 are classical and 4 are rock and roll. In...
 Chapter 6.26: A population consists of 15 items, 10 of which are acceptable. In a...
 Chapter 6.27: Kolzak Appliance Outlet just received a shipment of 10 DVD players....
 Chapter 6.28: The Computer Systems Department has 8 faculty, 6 of whom are tenure...
 Chapter 6.29: Keiths Florists has 15 delivery trucks, used mainly to deliver flow...
 Chapter 6.30: The game called Lotto sponsored by the Louisiana Lottery Commission...
 Chapter 6.31: In a Poisson distribution 0.4. a. What is the probability that x 0?...
 Chapter 6.32: In a Poisson distribution 4. a. What is the probability that x 2? b...
 Chapter 6.33: Ms. Bergen is a loan officer at Coast Bank and Trust. From her year...
 Chapter 6.34: Automobiles arrive at the Elkhart exit of the Indiana Toll Road at ...
 Chapter 6.35: It is estimated that 0.5 percent of the callers to the Customer Ser...
 Chapter 6.36: In the past, schools in Los Angeles County have closed an average o...
 Chapter 6.37: What is the difference between a random variable and a probability ...
 Chapter 6.38: For each of the following indicate whether the random variable is d...
 Chapter 6.39: An investment will be worth $1,000, $2,000, or $5,000 at the end of...
 Chapter 6.40: The personnel manager of Cumberland Pig Iron Company is studying th...
 Chapter 6.41: Croissant Bakery Inc. offers special decorated cakes for birthdays,...
 Chapter 6.42: The payouts for the Powerball lottery and their corresponding odds ...
 Chapter 6.43: In a recent survey, 35 percent indicated chocolate was their favori...
 Chapter 6.44: Thirty percent of the population in a southwestern community are Sp...
 Chapter 6.45: An auditor for Health Maintenance Services of Georgia reports 40 pe...
 Chapter 6.46: Tire and Auto Supply is considering a 2for1 stock split. Before t...
 Chapter 6.47: A federal study reported that 7.5 percent of the U.S. workforce has...
 Chapter 6.48: The Bank of Hawaii reports that 7 percent of its credit card holder...
 Chapter 6.49: Recent statistics suggest that 15 percent of those who visit a reta...
 Chapter 6.50: Recent statistics suggest that 15 percent of those who visit a reta...
 Chapter 6.51: ColgatePalmolive Inc. recently developed a new toothpaste flavored...
 Chapter 6.52: Dr. Richmond, a psychologist, is studying the daytime television vi...
 Chapter 6.53: A recent study conducted by Penn, Shone, and Borland, on behalf of ...
 Chapter 6.54: Suppose the Internal Revenue Service is studying the category of ch...
 Chapter 6.55: The law firm of Hagel and Hagel is located in downtown Cincinnati. ...
 Chapter 6.56: Recent information published by the U.S. Environmental Protection A...
 Chapter 6.57: The position of chief of police in the city of Corry, Pennsylvania,...
 Chapter 6.58: Listed below is the population by state for the 15 states with the ...
 Chapter 6.59: The sales of Lexus automobiles in the Detroit area follow a Poisson...
 Chapter 6.60: Suppose 1.5 percent of the antennas on new Nokia cell phones are de...
 Chapter 6.61: A study of the checkout lines at the Safeway Supermarket in the Sou...
 Chapter 6.62: A study of the checkout lines at the Safeway Supermarket in the Sou...
 Chapter 6.63: Recent crime reports indicate that 3.1 motor vehicle thefts occur e...
 Chapter 6.64: New Process Inc. a large mailorder supplier of womens fashions, ad...
 Chapter 6.65: The National Aeronautics and Space Administration (NASA) has experi...
 Chapter 6.66: According to the January theory, if the stock market is up for the ...
 Chapter 6.67: During the second round of the 1989 U.S. Open golf tournament, four...
 Chapter 6.68: Suppose the National Hurricane Center forecasts that hurricanes wil...
 Chapter 6.69: A recent CBS News survey reported that 67 percent of adults felt th...
 Chapter 6.70: Refer to the Real Estate data, which report information on homes so...
 Chapter 6.71: Refer to the Baseball 2009 data. Compute the mean number of home ru...
Solutions for Chapter Chapter 6: Discrete Probability Distributions
Full solutions for Statistical Techniques in Business and Economics  15th Edition
ISBN: 9780073401805
Solutions for Chapter Chapter 6: Discrete Probability Distributions
Get Full SolutionsThis textbook survival guide was created for the textbook: Statistical Techniques in Business and Economics, edition: 15. This expansive textbook survival guide covers the following chapters and their solutions. Statistical Techniques in Business and Economics was written by and is associated to the ISBN: 9780073401805. Since 71 problems in chapter Chapter 6: Discrete Probability Distributions have been answered, more than 32740 students have viewed full stepbystep solutions from this chapter. Chapter Chapter 6: Discrete Probability Distributions includes 71 full stepbystep solutions.

2 k factorial experiment.
A full factorial experiment with k factors and all factors tested at only two levels (settings) each.

aerror (or arisk)
In hypothesis testing, an error incurred by failing to reject a null hypothesis when it is actually false (also called a type II error).

Acceptance region
In hypothesis testing, a region in the sample space of the test statistic such that if the test statistic falls within it, the null hypothesis cannot be rejected. This terminology is used because rejection of H0 is always a strong conclusion and acceptance of H0 is generally a weak conclusion

Analysis of variance (ANOVA)
A method of decomposing the total variability in a set of observations, as measured by the sum of the squares of these observations from their average, into component sums of squares that are associated with speciic deined sources of variation

Analytic study
A study in which a sample from a population is used to make inference to a future population. Stability needs to be assumed. See Enumerative study

Causal variable
When y fx = ( ) and y is considered to be caused by x, x is sometimes called a causal variable

Causeandeffect diagram
A chart used to organize the various potential causes of a problem. Also called a ishbone diagram.

Chisquare test
Any test of signiicance based on the chisquare distribution. The most common chisquare tests are (1) testing hypotheses about the variance or standard deviation of a normal distribution and (2) testing goodness of it of a theoretical distribution to sample data

Conditional probability
The probability of an event given that the random experiment produces an outcome in another event.

Continuity correction.
A correction factor used to improve the approximation to binomial probabilities from a normal distribution.

Contour plot
A twodimensional graphic used for a bivariate probability density function that displays curves for which the probability density function is constant.

Correlation matrix
A square matrix that contains the correlations among a set of random variables, say, XX X 1 2 k , ,…, . The main diagonal elements of the matrix are unity and the offdiagonal elements rij are the correlations between Xi and Xj .

Covariance matrix
A square matrix that contains the variances and covariances among a set of random variables, say, X1 , X X 2 k , , … . The main diagonal elements of the matrix are the variances of the random variables and the offdiagonal elements are the covariances between Xi and Xj . Also called the variancecovariance matrix. When the random variables are standardized to have unit variances, the covariance matrix becomes the correlation matrix.

Crossed factors
Another name for factors that are arranged in a factorial experiment.

Defect concentration diagram
A quality tool that graphically shows the location of defects on a part or in a process.

Error of estimation
The difference between an estimated value and the true value.

Extra sum of squares method
A method used in regression analysis to conduct a hypothesis test for the additional contribution of one or more variables to a model.

Generating function
A function that is used to determine properties of the probability distribution of a random variable. See Momentgenerating function

Geometric mean.
The geometric mean of a set of n positive data values is the nth root of the product of the data values; that is, g x i n i n = ( ) = / w 1 1 .

Goodness of fit
In general, the agreement of a set of observed values and a set of theoretical values that depend on some hypothesis. The term is often used in itting a theoretical distribution to a set of observations.