 7.1.1: For Exercises 1 and 2, identify the population, the parameter, the ...
 7.1.2: For Exercises 1 and 2, identify the population, the parameter, the ...
 7.1.3: For each boldface number in Exercises 3 to 6, (1) state whether it ...
 7.1.4: For each boldface number in Exercises 3 to 6, (1) state whether it ...
 7.1.5: For each boldface number in Exercises 3 to 6, (1) state whether it ...
 7.1.6: For each boldface number in Exercises 3 to 6, (1) state whether it ...
 7.1.7: Exercises 7 and 8 refer to the small population {2, 6, 8, 10, 10, 1...
 7.1.8: Exercises 7 and 8 refer to the small population {2, 6, 8, 10, 10, 1...
 7.1.9: Doing homework A school newspaper article claims that 60% of the st...
 7.1.10: Tall girls According to the National Center for Health Statistics, ...
 7.1.11: Doing homework Refer to Exercise 9. (a) Make a bar graph of the pop...
 7.1.12: Tall girls Refer to Exercise 10. (a) Make a graph of the population...
 7.1.13: Exercises 13 and 14 refer to the following setting. During the wint...
 7.1.14: Exercises 13 and 14 refer to the following setting. During the wint...
 7.1.15: A sample of teens A study of the health of teenagers plans to measu...
 7.1.16: Predict the election A polling organization plans to ask a random s...
 7.1.17: A sample of teens Refer to Exercise 15. The sample mean x is an unb...
 7.1.18: Predict the election Refer to Exercise 16. The sample proportion p^...
 7.1.19: Bias and variability The figure below shows histograms of four samp...
 7.1.20: IRS audits The Internal Revenue Service plans to examine an SRS of ...
 7.1.21: Multiple choice: Select the best answer for Exercises 21 to 24. At ...
 7.1.22: Multiple choice: Select the best answer for Exercises 21 to 24. A s...
 7.1.23: Multiple choice: Select the best answer for Exercises 21 to 24. In ...
 7.1.24: Multiple choice: Select the best answer for Exercises 21 to 24. Inc...
 7.1.25: Dem bones (2.2) Osteoporosis is a condition in which the bones beco...
 7.1.26: Squirrels and their food supply (3.2) Animal species produce more o...
Solutions for Chapter 7.1: What Is a Sampling Distribution?
Full solutions for The Practice of Statistics  5th Edition
ISBN: 9781464108730
Solutions for Chapter 7.1: What Is a Sampling Distribution?
Get Full SolutionsThis expansive textbook survival guide covers the following chapters and their solutions. Chapter 7.1: What Is a Sampling Distribution? includes 26 full stepbystep solutions. The Practice of Statistics was written by and is associated to the ISBN: 9781464108730. Since 26 problems in chapter 7.1: What Is a Sampling Distribution? have been answered, more than 6418 students have viewed full stepbystep solutions from this chapter. This textbook survival guide was created for the textbook: The Practice of Statistics, edition: 5.

Additivity property of x 2
If two independent random variables X1 and X2 are distributed as chisquare with v1 and v2 degrees of freedom, respectively, Y = + X X 1 2 is a chisquare random variable with u = + v v 1 2 degrees of freedom. This generalizes to any number of independent chisquare random variables.

Attribute
A qualitative characteristic of an item or unit, usually arising in quality control. For example, classifying production units as defective or nondefective results in attributes data.

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.

Conditional probability density function
The probability density function of the conditional probability distribution of a continuous random variable.

Continuous uniform random variable
A continuous random variable with range of a inite interval and a constant probability density function.

Covariance
A measure of association between two random variables obtained as the expected value of the product of the two random variables around their means; that is, Cov(X Y, ) [( )( )] =? ? E X Y ? ? X Y .

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

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

Degrees of freedom.
The number of independent comparisons that can be made among the elements of a sample. The term is analogous to the number of degrees of freedom for an object in a dynamic system, which is the number of independent coordinates required to determine the motion of the object.

Density function
Another name for a probability density function

Dispersion
The amount of variability exhibited by data

Empirical model
A model to relate a response to one or more regressors or factors that is developed from data obtained from the system.

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.

Exhaustive
A property of a collection of events that indicates that their union equals the sample space.

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.

Ftest
Any test of signiicance involving the F distribution. The most common Ftests are (1) testing hypotheses about the variances or standard deviations of two independent normal distributions, (2) testing hypotheses about treatment means or variance components in the analysis of variance, and (3) testing signiicance of regression or tests on subsets of parameters in a regression model.

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.

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

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.