 8.4.1: Explain what is meant by margin of error inpoint estimation.
 8.4.2: What are two characteristics of the best point estimatorfor a popul...
 8.4.3: 3 Calculate the margin of error in estimating a populationmean m fo...
 8.4.4: Refer to Exercise 8.3. What effect does a largerpopulation variance...
 8.4.5: Calculate the margin of error in estimating a populationmean m for ...
 8.4.6: Refer to Exercise 8.5. What effect does anincreased sample size hav...
 8.4.7: Calculate the margin of error in estimating abinomial proportion fo...
 8.4.8: Refer to Exercise 8.7. What effect does increasingthe sample size h...
 8.4.9: Calculate the margin of error in estimating abinomial proportion p ...
 8.4.10: Suppose you are writing a questionnaire for asample survey involvin...
 8.4.11: A random sample of n 900 observations froma binomial population pro...
 8.4.12: 2 A random sample of n 50 observations froma quantitative populatio...
 8.4.13: A random sample of n 500 observations froma binomial population pro...
 8.4.14: A random sample of n 75 observations from aquantitative population ...
 8.4.15: The San Andreas Fault One of the mostfamous large fractures (cracks...
 8.4.16: Biomass Estimates of the earths biomass, thetotal amount of vegetat...
 8.4.17: Consumer Confidence An increase in the rate ofconsumer savings is f...
 8.4.18: Multimedia Kids Do our children spend asmuch time enjoying the outd...
 8.4.19: Illegal Immigration In a recent poll thatincluded questions about i...
 8.4.20: Hotel Costs Even within a particular chainof hotels, lodging during...
 8.4.21: 900 Numbers Radio and television stationsoften air controversial is...
 8.4.22: Men On Mars? Do you think that the UnitedStates should pursue a pro...
 8.4.23: Hungry Rats In an experiment to assess thestrength of the hunger dr...
Solutions for Chapter 8.4: Point Estimation
Full solutions for Introduction to Probability and Statistics 1  14th Edition
ISBN: 9781133103752
Solutions for Chapter 8.4: Point Estimation
Get Full SolutionsSince 23 problems in chapter 8.4: Point Estimation have been answered, more than 10508 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: Introduction to Probability and Statistics 1, edition: 14. Chapter 8.4: Point Estimation includes 23 full stepbystep solutions. Introduction to Probability and Statistics 1 was written by and is associated to the ISBN: 9781133103752.

Biased estimator
Unbiased estimator.

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.

Causeandeffect diagram
A chart used to organize the various potential causes of a problem. Also called a ishbone diagram.

Center line
A horizontal line on a control chart at the value that estimates the mean of the statistic plotted on the chart. See Control chart.

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

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

Control limits
See Control chart.

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.

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.

Dependent variable
The response variable in regression or a designed experiment.

Error of estimation
The difference between an estimated value and the true value.

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.

Exponential random variable
A series of tests in which changes are made to the system under study

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.

Finite population correction factor
A term in the formula for the variance of a hypergeometric random variable.

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

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 .