 1.3.1: What is a frame?
 1.3.1E: What is a frame?
 1.3.2: Define simple random sampling
 1.3.2E: Define simple random sampling.
 1.3.3: What does it mean when sampling is done without replacement?
 1.3.3E: What does it mean when sampling is done without replacement?
 1.3.4: What is random sampling? Why is it used and how does it compare wit...
 1.3.4E: What is random sampling? Why is it used and how does it compare wit...
 1.3.5: Literature As part of a college literature course, students must se...
 1.3.5E: Literature As part of a college literature course, students\ must s...
 1.3.6: Team Captains A coach must select two players to serve as captains ...
 1.3.6E: Team Captains A coach must select two players to serve as captains ...
 1.3.7: Course Selection A student entering a doctoral program in education...
 1.3.7E: Course Selection A student entering a doctoral program in education...
 1.3.8: Merit Badge Requirements To complete the Citizenship in the World m...
 1.3.8E: Merit Badge Requirements To complete the Citizenship in the World m...
 1.3.9: Sampling the Faculty A small community college employs 87 fulltime...
 1.3.9E: Sampling the Faculty A small community college employs 87 fulltime...
 1.3.10: Sampling the Students The same community college from has 7656 stud...
 1.3.10E: Sampling the Students The same community college from 7656 students...
 1.3.11: Obtaining a Simple Random Sample The table on the following page li...
 1.3.11E: Obtaining a Simple Random Sample The table on the following page li...
 1.3.12: Obtaining a Simple Random Sample The following table lists the 44 p...
 1.3.12E: Obtaining a Simple Random Sample The following table lists the 44 p...
 1.3.13: Obtaining a Simple Random Sample Suppose you are the president of t...
 1.3.13E: Obtaining a Simple Random Sample Suppose you are the president of t...
 1.3.14: Obtaining a Simple Random Sample Suppose the mayor of Justice, Illi...
 1.3.14E: Obtaining a Simple Random Sample Suppose the mayor of Justice, Illi...
 1.3.15: Future Government Club The Future Government Club wants to sponsor ...
 1.3.15E: Future Government Club The Future Government Club wants to sponsor ...
 1.3.16: Worker Morale The owner of a private food store is concerned about ...
 1.3.16E: Worker Morale The owner of a private food store is concerned about ...
Solutions for Chapter 1.3: SIMPLE RANDOM SAMPLING
Full solutions for Statistics: Informed Decisions Using Data  4th Edition
ISBN: 9780321757272
Solutions for Chapter 1.3: SIMPLE RANDOM SAMPLING
Get Full SolutionsChapter 1.3: SIMPLE RANDOM SAMPLING includes 32 full stepbystep solutions. Since 32 problems in chapter 1.3: SIMPLE RANDOM SAMPLING have been answered, more than 140817 students have viewed full stepbystep solutions from this chapter. This expansive textbook survival guide covers the following chapters and their solutions. Statistics: Informed Decisions Using Data was written by and is associated to the ISBN: 9780321757272. This textbook survival guide was created for the textbook: Statistics: Informed Decisions Using Data , edition: 4.

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

Bayes’ theorem
An equation for a conditional probability such as PA B (  ) in terms of the reverse conditional probability PB A (  ).

Biased estimator
Unbiased estimator.

Chisquare (or chisquared) random variable
A continuous random variable that results from the sum of squares of independent standard normal random variables. It is a special case of a gamma random variable.

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

Conditional probability distribution
The distribution of a random variable given that the random experiment produces an outcome in an event. The given event might specify values for one or more other random variables

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

Confounding
When a factorial experiment is run in blocks and the blocks are too small to contain a complete replicate of the experiment, one can run a fraction of the replicate in each block, but this results in losing information on some effects. These effects are linked with or confounded with the blocks. In general, when two factors are varied such that their individual effects cannot be determined separately, their effects are said to be confounded.

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

Conidence interval
If it is possible to write a probability statement of the form PL U ( ) ? ? ? ? = ?1 where L and U are functions of only the sample data and ? is a parameter, then the interval between L and U is called a conidence interval (or a 100 1( )% ? ? conidence interval). The interpretation is that a statement that the parameter ? lies in this interval will be true 100 1( )% ? ? of the times that such a statement is made

Continuity correction.
A correction factor used to improve the approximation to binomial probabilities from a normal distribution.

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.

Correction factor
A term used for the quantity ( / )( ) 1 1 2 n xi i n ? = that is subtracted from xi i n 2 ? =1 to give the corrected sum of squares deined as (/ ) ( ) 1 1 2 n xx i x i n ? = i ? . The correction factor can also be written as nx 2 .

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

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

Discrete random variable
A random variable with a inite (or countably ininite) range.

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

Error variance
The variance of an error term or component in a model.

Event
A subset of a sample space.

Harmonic mean
The harmonic mean of a set of data values is the reciprocal of the arithmetic mean of the reciprocals of the data values; that is, h n x i n i = ? ? ? ? ? = ? ? 1 1 1 1 g .