 54.1: Notation In a clinical trial of the cholesterol drug Lipitor, 270 s...
 54.2: Standard Deviation For the binomial distribution described by the c...
 54.3: Variance An Office Team survey of 150 executives found that 93.3% o...
 54.4: Why a Parameter? Given the results described in Exercise 3, is the ...
 54.5: Finding , , and Unusual Values. In Exercises 58, assume that a proc...
 54.6: Finding , , and Unusual Values. In Exercises 58, assume that a proc...
 54.7: Identity Theft In a Gallup poll of 1013 randomly selected adults, 6...
 54.8: Clinical Trial In a clinical trial of the cholesterol drug Lipitor,...
 54.9: . Gender Selection In a test of the YSORT method of gender selectio...
 54.10: Mendelian Genetics When Mendel conducted his famous genetics experi...
 54.11: Are 20% of M&M Candies Orange? Mars, Inc. claims that 20% of its M&...
 54.12: Are 14% of M&M Candies Yellow? Mars, Inc. claims that 14% of its M&...
 54.13: Cell Phones and Brain Cancer In a study of 420,095 cell phone users...
 54.14: Test of Touch Therapy Nineyearold Emily Rosa conducted this test: A...
 54.15: Deciphering Messages The Central Intelligence Agency has specialist...
 54.16: Deciphering Messages The Central Intelligence Agency has specialist...
 54.17: Too Young to Tat Based on a Harris poll of 370 adults who regret ge...
 54.18: Roulette If you place a bet on the number 7 in roulette, you have a...
 54.19: Born on the 4th of July For the following questions, ignore leap ye...
 54.20: Powerball Lottery As of this writing, the Powerball lottery is run ...
 54.21: Finding n, p, q In a survey of randomly selected adults, subjects w...
 54.22: Acceptable/Defective Products A new integrated circuit board is bei...
 54.23: Hypergeometric Distribution A statistics class consists of 10 femal...
Solutions for Chapter 54: Parameters for Binomial Distributions
Full solutions for Elementary Statistics  12th Edition
ISBN: 9780321836960
Solutions for Chapter 54: Parameters for Binomial Distributions
Get Full SolutionsElementary Statistics was written by and is associated to the ISBN: 9780321836960. Since 23 problems in chapter 54: Parameters for Binomial Distributions have been answered, more than 212872 students have viewed full stepbystep solutions from this chapter. Chapter 54: Parameters for Binomial Distributions includes 23 full stepbystep solutions. This expansive textbook survival guide covers the following chapters and their solutions. This textbook survival guide was created for the textbook: Elementary Statistics, edition: 12.

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

Bayes’ estimator
An estimator for a parameter obtained from a Bayesian method that uses a prior distribution for the parameter along with the conditional distribution of the data given the parameter to obtain the posterior distribution of the parameter. The estimator is obtained from the posterior distribution.

Bias
An effect that systematically distorts a statistical result or estimate, preventing it from representing the true quantity of interest.

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).

Coeficient of determination
See R 2 .

Conditional mean
The mean of the conditional probability distribution of a random variable.

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

Contingency table.
A tabular arrangement expressing the assignment of members of a data set according to two or more categories or classiication criteria

Control limits
See Control chart.

Convolution
A method to derive the probability density function of the sum of two independent random variables from an integral (or sum) of probability density (or mass) functions.

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 .

Curvilinear regression
An expression sometimes used for nonlinear regression models or polynomial regression models.

Decision interval
A parameter in a tabular CUSUM algorithm that is determined from a tradeoff between false alarms and the detection of assignable causes.

Defectsperunit control chart
See U chart

Eficiency
A concept in parameter estimation that uses the variances of different estimators; essentially, an estimator is more eficient than another estimator if it has smaller variance. When estimators are biased, the concept requires modiication.

Estimator (or point estimator)
A procedure for producing an estimate of a parameter of interest. An estimator is usually a function of only sample data values, and when these data values are available, it results in an estimate of the parameter of interest.

Firstorder model
A model that contains only irstorder terms. For example, the irstorder response surface model in two variables is y xx = + ?? ? ? 0 11 2 2 + + . A irstorder model is also called a main effects model

Fisher’s least signiicant difference (LSD) method
A series of pairwise hypothesis tests of treatment means in an experiment to determine which means differ.

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

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.