 Chapter 13.13.1: When an opinion poll calls residential telephonenumbers at random, ...
 Chapter 13.13.2: Logging in. At peak periods, 15% of attempted logins to an online ...
 Chapter 13.13.3: Computer instruction. A student studies binomial distributions usin...
 Chapter 13.13.4: I cant relax. Opinion polls find that 14% of Americans never have t...
 Chapter 13.13.5: Proofreading. Typing errors in a text are either nonword errors (as...
 Chapter 13.13.6: Random digit dialing. When an opinion poll calls residential teleph...
 Chapter 13.13.7: Tax returns. The Internal Revenue Service reports that 8.7% of indi...
 Chapter 13.13.8: Random digit dialing. (a) What is the mean number of calls that rea...
 Chapter 13.13.9: Proofreading. Return to the proofreading setting of Exercise 13.5.(...
 Chapter 13.13.10: Using Benfords law. According to Benfords law (Example 10.7, page 2...
 Chapter 13.13.11: Mark McGwires home runs. In 1998, Mark McGwire of the St. LouisCard...
 Chapter 13.13.12: Checking for survey errors. One way of checking the effect of under...
 Chapter 13.13.13: Joe reads that 1 out of 4 eggs contains salmonella bacteria. So he ...
 Chapter 13.13.14: In the previous exercise, the probability that at least one of Joes...
 Chapter 13.13.15: In a group of 10 college students, 4 are business majors. You choos...
 Chapter 13.13.16: If a basketball player makes 5 free throws and misses 2 free throws...
 Chapter 13.13.17: 13.17 A basketball player makes 70% of her free throws. She takes 7...
 Chapter 13.13.18: A basketball player makes 70% of her free throws. She takes 7 free ...
 Chapter 13.13.19: The probability of finding exactly 4 0s in a line 40 digits long is...
 Chapter 13.13.20: The mean number of 0s in a line 40 digits long is(a) 4. (b) 3.098. ...
 Chapter 13.13.21: Ten lines in the table contain 400 digits. The count of 0s in these...
 Chapter 13.13.22: Binomial setting? In each situation below, is it reasonable to use ...
 Chapter 13.13.23: Binomial setting? In which of these two sports settings is a binomi...
 Chapter 13.13.24: 50% of male Internet users in this age group visit an auction site ...
 Chapter 13.13.25: Testing ESP. In a test for ESP (extrasensory perception), a subject...
 Chapter 13.13.26: thinks that an index of stock prices has probability 0.65 of increa...
 Chapter 13.13.27: How many cars? Twenty percent of American households own three or m...
 Chapter 13.13.28: How many cars? Twenty percent of American households own three or m...
 Chapter 13.13.29: Reaching dropouts. High school dropouts make up 12.3% of all Americ...
 Chapter 13.13.30: Multiplechoice tests. Here is a simple probability model for multi...
 Chapter 13.13.31: Survey demographics. According to the Census Bureau, 12.4% of Ameri...
 Chapter 13.13.32: Leaking gas tanks. Leakage from underground gasoline tanks at servi...
 Chapter 13.13.33: Genetics. According to genetic theory, the blossom color in the sec...
 Chapter 13.13.34: Language study. Of American high school students, 41% are studying ...
 Chapter 13.13.35: percents into counts of the 500 students in the sample.)13.35 Is th...
 Chapter 13.13.36: Inspecting CDs. Example 13.5 concerns the count of bad CDs in inspe...
Solutions for Chapter Chapter 13: Binomial Distributions
Full solutions for The Basic Practice of Statistics  4th Edition
ISBN: 9780716774785
Solutions for Chapter Chapter 13: Binomial Distributions
Get Full SolutionsThe Basic Practice of Statistics was written by and is associated to the ISBN: 9780716774785. Since 36 problems in chapter Chapter 13: Binomial Distributions have been answered, more than 11151 students have viewed full stepbystep solutions from this chapter. This expansive textbook survival guide covers the following chapters and their solutions. This textbook survival guide was created for the textbook: The Basic Practice of Statistics, edition: 4. Chapter Chapter 13: Binomial Distributions includes 36 full stepbystep solutions.

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

Arithmetic mean
The arithmetic mean of a set of numbers x1 , x2 ,…, xn is their sum divided by the number of observations, or ( / )1 1 n xi t n ? = . The arithmetic mean is usually denoted by x , and is often called the average

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

Bimodal distribution.
A distribution with two modes

C chart
An attribute control chart that plots the total number of defects per unit in a subgroup. Similar to a defectsperunit or U chart.

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

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.

Coeficient of determination
See R 2 .

Combination.
A subset selected without replacement from a set used to determine the number of outcomes in events and sample spaces.

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

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

Contrast
A linear function of treatment means with coeficients that total zero. A contrast is a summary of treatment means that is of interest in an experiment.

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.

Deming
W. Edwards Deming (1900–1993) was a leader in the use of statistical quality control.

Dispersion
The amount of variability exhibited by data

Error mean square
The error sum of squares divided by its number of degrees of freedom.

False alarm
A signal from a control chart when no assignable causes are present

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

Geometric random variable
A discrete random variable that is the number of Bernoulli trials until a success occurs.