 53.1: Which of the following are binomial experiments or can be reduced t...
 53.2: Compute the probability of X successes, using Table B in Appendix C...
 53.3: Compute the probability of X successes, using the binomial formula....
 53.4: For Exercises 4 through 13, assume all variables are binomial. (Not...
 53.5: For Exercises 4 through 13, assume all variables are binomial. (Not...
 53.6: MultipleChoice Exam A student takes a 20question, multiplechoice...
 53.7: For Exercises 4 through 13, assume all variables are binomial. (Not...
 53.8: For Exercises 4 through 13, assume all variables are binomial. (Not...
 53.9: For Exercises 4 through 13, assume all variables are binomial. (Not...
 53.10: For Exercises 4 through 13, assume all variables are binomial. (Not...
 53.11: For Exercises 4 through 13, assume all variables are binomial. (Not...
 53.12: For Exercises 4 through 13, assume all variables are binomial. (Not...
 53.13: For Exercises 4 through 13, assume all variables are binomial. (Not...
 53.14: Find the mean, variance, and standard deviation for each of the val...
 53.15: Social Security Recipients A study found that 1% of Social Security...
 53.16: Find the mean, variance, and standard deviation for the number of h...
 53.17: Defective Calculators If 3% of calculators are defective, find the ...
 53.18: Federal Government Employee Email Use It has been reported that 83...
 53.19: Watching Fireworks A survey found that 21% of Americans watch firew...
 53.20: Alternate Sources of Fuel Eightyfive percent of Americans favor sp...
 53.21: Survey on Bathing Pets A survey found that 25% of pet owners had th...
 53.22: Survey onAnswering Machine Ownership In a survey, 63% ofAmericans s...
 53.23: Poverty and the Federal Government One out of every three Americans...
 53.24: Internet Purchases Thirtytwo percent of adult Internet users have ...
 53.25: Survey on Internet Awareness In a survey, 58% of American adults sa...
 53.26: Job Elimination In the past year, 13% of businesses have eliminated...
 53.27: Survey of High School Seniors Of graduating high school seniors, 14...
 53.28: Is this a binomial distribution? Explain. X 0123 P(X) 0.064 0.288 0...
 53.29: Children in a Family The graph shown here represents the probabilit...
 53.30: Construct a binomial distribution graph for the number of defective...
Solutions for Chapter 53: Discrete Probability Distributions
Full solutions for Elementary Statistics: A Step by Step Approach  7th Edition
ISBN: 9780073534978
Solutions for Chapter 53: Discrete Probability Distributions
Get Full SolutionsThis textbook survival guide was created for the textbook: Elementary Statistics: A Step by Step Approach, edition: 7. This expansive textbook survival guide covers the following chapters and their solutions. Elementary Statistics: A Step by Step Approach was written by and is associated to the ISBN: 9780073534978. Since 30 problems in chapter 53: Discrete Probability Distributions have been answered, more than 30727 students have viewed full stepbystep solutions from this chapter. Chapter 53: Discrete Probability Distributions includes 30 full stepbystep solutions.

`error (or `risk)
In hypothesis testing, an error incurred by rejecting a null hypothesis when it is actually true (also called a type I error).

All possible (subsets) regressions
A method of variable selection in regression that examines all possible subsets of the candidate regressor variables. Eficient computer algorithms have been developed for implementing all possible regressions

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

Asymptotic relative eficiency (ARE)
Used to compare hypothesis tests. The ARE of one test relative to another is the limiting ratio of the sample sizes necessary to obtain identical error probabilities for the two procedures.

Attribute control chart
Any control chart for a discrete random variable. See Variables control chart.

Bernoulli trials
Sequences of independent trials with only two outcomes, generally called “success” and “failure,” in which the probability of success remains constant.

Biased estimator
Unbiased estimator.

Box plot (or box and whisker plot)
A graphical display of data in which the box contains the middle 50% of the data (the interquartile range) with the median dividing it, and the whiskers extend to the smallest and largest values (or some deined lower and upper limits).

Central tendency
The tendency of data to cluster around some value. Central tendency is usually expressed by a measure of location such as the mean, median, or mode.

Chance cause
The portion of the variability in a set of observations that is due to only random forces and which cannot be traced to speciic sources, such as operators, materials, or equipment. Also called a common cause.

Conditional probability mass function
The probability mass function of the conditional probability distribution of a discrete random variable.

Conidence coeficient
The probability 1?a associated with a conidence interval expressing the probability that the stated interval will contain the true parameter value.

Continuous distribution
A probability distribution for a continuous random variable.

Control chart
A graphical display used to monitor a process. It usually consists of a horizontal center line corresponding to the incontrol value of the parameter that is being monitored and lower and upper control limits. The control limits are determined by statistical criteria and are not arbitrary, nor are they related to speciication limits. If sample points fall within the control limits, the process is said to be incontrol, or free from assignable causes. Points beyond the control limits indicate an outofcontrol process; that is, assignable causes are likely present. This signals the need to ind and remove the assignable causes.

Deming’s 14 points.
A management philosophy promoted by W. Edwards Deming that emphasizes the importance of change and quality

Dependent variable
The response variable in regression or a designed experiment.

Discrete uniform random variable
A discrete random variable with a inite range and constant probability mass function.

F distribution.
The distribution of the random variable deined as the ratio of two independent chisquare random variables, each divided by its number of degrees of freedom.

Fractional factorial experiment
A type of factorial experiment in which not all possible treatment combinations are run. This is usually done to reduce the size of an experiment with several factors.

Generator
Effects in a fractional factorial experiment that are used to construct the experimental tests used in the experiment. The generators also deine the aliases.