- 5-4.1: Notation In a clinical trial of the cholesterol drug Lipitor, 270 s...
- 5-4.2: Standard Deviation For the binomial distribution described by the c...
- 5-4.3: Variance An Office Team survey of 150 executives found that 93.3% o...
- 5-4.4: Why a Parameter? Given the results described in Exercise 3, is the ...
- 5-4.5: Finding , , and Unusual Values. In Exercises 58, assume that a proc...
- 5-4.6: Finding , , and Unusual Values. In Exercises 58, assume that a proc...
- 5-4.7: Identity Theft In a Gallup poll of 1013 randomly selected adults, 6...
- 5-4.8: Clinical Trial In a clinical trial of the cholesterol drug Lipitor,...
- 5-4.9: . Gender Selection In a test of the YSORT method of gender selectio...
- 5-4.10: Mendelian Genetics When Mendel conducted his famous genetics experi...
- 5-4.11: Are 20% of M&M Candies Orange? Mars, Inc. claims that 20% of its M&...
- 5-4.12: Are 14% of M&M Candies Yellow? Mars, Inc. claims that 14% of its M&...
- 5-4.13: Cell Phones and Brain Cancer In a study of 420,095 cell phone users...
- 5-4.14: Test of Touch Therapy Nineyearold Emily Rosa conducted this test: A...
- 5-4.15: Deciphering Messages The Central Intelligence Agency has specialist...
- 5-4.16: Deciphering Messages The Central Intelligence Agency has specialist...
- 5-4.17: Too Young to Tat Based on a Harris poll of 370 adults who regret ge...
- 5-4.18: Roulette If you place a bet on the number 7 in roulette, you have a...
- 5-4.19: Born on the 4th of July For the following questions, ignore leap ye...
- 5-4.20: Powerball Lottery As of this writing, the Powerball lottery is run ...
- 5-4.21: Finding n, p, q In a survey of randomly selected adults, subjects w...
- 5-4.22: Acceptable/Defective Products A new integrated circuit board is bei...
- 5-4.23: Hypergeometric Distribution A statistics class consists of 10 femal...
Solutions for Chapter 5-4: Parameters for Binomial Distributions
Full solutions for Elementary Statistics | 12th Edition
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
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.
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 .
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.
A tabular arrangement expressing the assignment of members of a data set according to two or more categories or classiication criteria
See Control chart.
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.
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 off-diagonal elements rij are the correlations between Xi and Xj .
An expression sometimes used for nonlinear regression models or polynomial regression models.
A parameter in a tabular CUSUM algorithm that is determined from a trade-off between false alarms and the detection of assignable causes.
Defects-per-unit control chart
See U chart
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.
A model that contains only irstorder terms. For example, the irst-order response surface model in two variables is y xx = + ?? ? ? 0 11 2 2 + + . A irst-order model is also called a main effects model
Fisher’s least signiicant difference (LSD) method
A series of pair-wise hypothesis tests of treatment means in an experiment to determine which means differ.
A function that is used to determine properties of the probability distribution of a random variable. See Moment-generating 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.