 9.3.65: Attitudes The Survey of Study Habits and Attitudes (SSHA) is a psyc...
 9.3.66: Anemia Hemoglobin is a protein in red blood cells that carries oxyg...
 9.3.67: Ancient air The composition of the earths atmosphere may have chang...
 9.3.68: Paying high prices? A retailer entered into an exclusive agreement ...
 9.3.69: Attitudes In the study of older students attitudes from Exercise 65...
 9.3.70: Anemia For the study of Jordanian children in Exercise 66, the samp...
 9.3.71: Onesided test Suppose you carry out a significance test of H0 :m =...
 9.3.72: Twosided test The onesample t statistic from a sample of n = 25 o...
 9.3.73: Construction zones Every road has one at some pointconstruction zon...
 9.3.74: Heat through the glass How well materials conduct heat matters when...
 9.3.75: Healthy bones The recommended daily allowance (RDA) of calcium for ...
 9.3.76: Taking stock An investor with a stock portfolio worth several hundr...
 9.3.77: Pressing pills A drug manufacturer forms tablets by compressing a g...
 9.3.78: Filling cola bottles Bottles of a popular cola are supposed to cont...
 9.3.79: Pressing pills Refer to Exercise 77. Construct and interpret a 95% ...
 9.3.80: Filling cola bottles Refer to Exercise 78. Construct and interpret ...
 9.3.81: Fast connection? How long does it take for a chunk of information t...
 9.3.82: Water! A blogger claims that U.S. adults drink an average of five 8...
 9.3.83: Tests and CIs The Pvalue for a twosided test of the null hypothes...
 9.3.84: Tests and CIs The Pvalue for a twosided test of the null hypothes...
 9.3.85: Right versus left The design of controls and instruments affects ho...
 9.3.86: Floral scents and learning We hear that listening to Mozart improve...
 9.3.87: Growing tomatoes Researchers suspect that Variety A tomato plants h...
 9.3.88: Music and memory Does listening to music while studying hinder stud...
 9.3.89: The power of tomatoes Refer to Exercise 87. Explain two ways that t...
 9.3.90: Music and memory Refer to Exercise 88. Which of the following chang...
 9.3.91: Significance and sample size A study with 5000 subjects reported a ...
 9.3.92: Sampling shoppers A marketing consultant observes 50 consecutive sh...
 9.3.93: Do you have ESP? A researcher looking for evidence of extrasensory ...
 9.3.94: Ages of presidents Joe is writing a report on the backgrounds of Am...
 9.3.95: Multiple choice: Select the best answer for Exercises 95 to 102. Th...
 9.3.96: Multiple choice: Select the best answer for Exercises 95 to 102. Yo...
 9.3.97: Multiple choice: Select the best answer for Exercises 95 to 102. Yo...
 9.3.98: Multiple choice: Select the best answer for Exercises 95 to 102. Af...
 9.3.99: Multiple choice: Select the best answer for Exercises 95 to 102. Do...
 9.3.100: Multiple choice: Select the best answer for Exercises 95 to 102. Th...
 9.3.101: Multiple choice: Select the best answer for Exercises 95 to 102. Vi...
 9.3.102: Multiple choice: Select the best answer for Exercises 95 to 102. A ...
 9.3.103: Is your food safe? (8.1) Do you feel confident or not confident tha...
 9.3.104: Spinning for apples (6.3 or 7.3) In the Ask Marilyn column of Parad...
Solutions for Chapter 9.3: Tests about a Population Mean
Full solutions for The Practice of Statistics  5th Edition
ISBN: 9781464108730
Solutions for Chapter 9.3: Tests about a Population Mean
Get Full SolutionsThis textbook survival guide was created for the textbook: The Practice of Statistics, edition: 5. This expansive textbook survival guide covers the following chapters and their solutions. Since 40 problems in chapter 9.3: Tests about a Population Mean have been answered, more than 24966 students have viewed full stepbystep solutions from this chapter. The Practice of Statistics was written by and is associated to the ISBN: 9781464108730. Chapter 9.3: Tests about a Population Mean includes 40 full stepbystep solutions.

aerror (or arisk)
In hypothesis testing, an error incurred by failing to reject a null hypothesis when it is actually false (also called a type II error).

Addition rule
A formula used to determine the probability of the union of two (or more) events from the probabilities of the events and their intersection(s).

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.

Alias
In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.

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

Bimodal distribution.
A distribution with two modes

Continuous distribution
A probability distribution for a continuous random variable.

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

Convolution
A method to derive the probability density function of the sum of two independent random variables from an integral (or sum) of probability density (or mass) functions.

Correlation
In the most general usage, a measure of the interdependence among data. The concept may include more than two variables. The term is most commonly used in a narrow sense to express the relationship between quantitative variables or ranks.

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

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.

Estimate (or point estimate)
The numerical value of a point estimator.

Expected value
The expected value of a random variable X is its longterm average or mean value. In the continuous case, the expected value of X is E X xf x dx ( ) = ?? ( ) ? ? where f ( ) x is the density function of the random variable X.

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

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

Fixed factor (or fixed effect).
In analysis of variance, a factor or effect is considered ixed if all the levels of interest for that factor are included in the experiment. Conclusions are then valid about this set of levels only, although when the factor is quantitative, it is customary to it a model to the data for interpolating between these levels.

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.