 9.2.31: In Exercises 31 and 32, check that the conditions for carrying out ...
 9.2.32: In Exercises 31 and 32, check that the conditions for carrying out ...
 9.2.33: In Exercises 33 and 34, explain why we arent safe carrying out a on...
 9.2.34: In Exercises 33 and 34, explain why we arent safe carrying out a on...
 9.2.35: Home computers Refer to Exercise 31. In Jasons SRS, 41 of the stude...
 9.2.36: Walking to school Refer to Exercise 32. For DeAnnas survey, 17 stud...
 9.2.37: Significance tests A test of H0 :p = 0.5 versus Ha :p > 0.5 has tes...
 9.2.38: Significance tests A test of H0 :p = 0.65 against Ha :p < 0.65 has ...
 9.2.39: Better parking A local high school makes a change that should impro...
 9.2.40: Side effects A drug manufacturer claims that less than 10% of patie...
 9.2.41: Are boys more likely? We hear that newborn babies are more likely t...
 9.2.42: Fresh coffee People of taste are supposed to prefer freshbrewed co...
 9.2.43: Bullies in middle school A University of Illinois study on aggressi...
 9.2.44: Is this coin fair? The French naturalist Count Buffon (17071788) to...
 9.2.45: Teen drivers A states Division of Motor Vehicles (DMV) claims that ...
 9.2.46: We want to be rich In a recent year, 73% of firstyear college stude...
 9.2.47: Teen drivers Refer to Exercise 45. (a) Construct and interpret a 95...
 9.2.48: We want to be rich Refer to Exercise 46. (a) Construct and interpre...
 9.2.49: Do you Tweet? In early 2012, the Pew Internet and American Life Pro...
 9.2.50: Losing weight A Gallup Poll found that 59% of the people in its sam...
 9.2.51: Teens and sex The Gallup Youth Survey asked a random sample of U.S....
 9.2.52: Reporting cheating What proportion of students are willing to repor...
 9.2.53: Better parking Refer to Exercise 39. (a) Describe a Type I error an...
 9.2.54: Side effects Refer to Exercise 40. (a) Describe a Type I error and ...
 9.2.55: Error probabilities You read that a statistical test at significanc...
 9.2.56: Error probabilities You read that a statistical test at the a = 0.0...
 9.2.57: Power A drug manufacturer claims that fewer than 10% of patients wh...
 9.2.58: What is power? You manufacture and sell a liquid product whose elec...
 9.2.59: Multiple choice: Select the best answer for Exercises 59 to 62. Aft...
 9.2.60: Multiple choice: Select the best answer for Exercises 59 to 62. Whi...
 9.2.61: Multiple choice: Select the best answer for Exercises 59 to 62. The...
 9.2.62: Multiple choice: Select the best answer for Exercises 59 to 62. Whi...
 9.2.63: Packaging CDs (6.2, 5.3) A manufacturer of compact discs (CDs) want...
 9.2.64: Cash to find work? (4.2) Will cash bonuses speed the return to work...
Solutions for Chapter 9.2: Tests about a Population Proportion
Full solutions for The Practice of Statistics  5th Edition
ISBN: 9781464108730
Solutions for Chapter 9.2: Tests about a Population Proportion
Get Full SolutionsThis expansive textbook survival guide covers the following chapters and their solutions. The Practice of Statistics was written by and is associated to the ISBN: 9781464108730. Since 34 problems in chapter 9.2: Tests about a Population Proportion have been answered, more than 6403 students have viewed full stepbystep solutions from this chapter. This textbook survival guide was created for the textbook: The Practice of Statistics, edition: 5. Chapter 9.2: Tests about a Population Proportion includes 34 full stepbystep solutions.

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.

Average run length, or ARL
The average number of samples taken in a process monitoring or inspection scheme until the scheme signals that the process is operating at a level different from the level in which it began.

Axioms of probability
A set of rules that probabilities deined on a sample space must follow. See Probability

Bias
An effect that systematically distorts a statistical result or estimate, preventing it from representing the true quantity of interest.

Bimodal distribution.
A distribution with two modes

Binomial random variable
A discrete random variable that equals the number of successes in a ixed number of Bernoulli trials.

Bivariate normal distribution
The joint distribution of two normal random variables

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.

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.

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.

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

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 .

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.

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

Defectsperunit control chart
See U chart

Deming’s 14 points.
A management philosophy promoted by W. Edwards Deming that emphasizes the importance of change and quality

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

Dispersion
The amount of variability exhibited by data

Error propagation
An analysis of how the variance of the random variable that represents that output of a system depends on the variances of the inputs. A formula exists when the output is a linear function of the inputs and the formula is simpliied if the inputs are assumed to be independent.

Extra sum of squares method
A method used in regression analysis to conduct a hypothesis test for the additional contribution of one or more variables to a model.