 1.3.79: Quiz grades Joeys first 14 quiz grades in a marking period were 86 ...
 1.3.80: Cowboys The 2011 roster of the Dallas Cowboys professional football...
 1.3.81: Quiz grades Refer to Exercise 79. (a) Find the median by hand. Show...
 1.3.82: Cowboys Refer to Exercise 80. (a) Find the median by hand. Show you...
 1.3.83: Incomes of college grads According to the Census Bureau, the mean a...
 1.3.84: House prices The mean and median selling prices of existing single...
 1.3.85: Baseball salaries Suppose that a Major League Baseball teams mean y...
 1.3.86: Mean salary? Last year a small accounting firm paid each of its fiv...
 1.3.87: Domain names When it comes to Internet domain names, is shorter bet...
 1.3.88: Do adolescent girls eat fruit? We all know that fruit is good for u...
 1.3.89: Quiz grades Refer to Exercise 79. (a) Find and interpret the interq...
 1.3.90: Cowboys Refer to Exercise 80. (a) Find and interpret the interquart...
 1.3.91: Dont call me In a September 28, 2008, article titled Letting Our Fi...
 1.3.92: Acing the first test Here are the scores of Mrs. Liaos students on ...
 1.3.93: Texts or calls? Refer to Exercise 91. A boxplot of the difference (...
 1.3.94: Electoral votes To become president of the United States, a candida...
 1.3.95: Comparing investments Should you put your money into a fund that bu...
 1.3.96: Income and education level Each March, the Bureau of Labor Statisti...
 1.3.97: Phosphate levels The level of various substances in the blood influ...
 1.3.98: Feeling sleepy? The first four students to arrive for a firstperio...
 1.3.99: Shopping spree The figure displays computer output for data on the ...
 1.3.100: Csections Do male doctors perform more cesarean sections (Csectio...
 1.3.101: The IQR Is the interquartile range a resistant measure of spread? G...
 1.3.102: What do they measure? For each of the following summary statistics,...
 1.3.103: SD contest This is a standard deviation contest. You must choose fo...
 1.3.104: Measuring spread Which of the distributions shown has a larger stan...
 1.3.105: SSHA scores Here are the scores on the Survey of Study Habits and A...
 1.3.106: Hummingbirds and tropical flower Researchers from Amherst College s...
 1.3.107: Multiple choice: Select the best answer for Exercises 107 to 110. I...
 1.3.108: Multiple choice: Select the best answer for Exercises 107 to 110. T...
 1.3.109: Multiple choice: Select the best answer for Exercises 107 to 110. T...
 1.3.110: Multiple choice: Select the best answer for Exercises 107 to 110. W...
 1.3.111: Exercises 111 and 112 refer to the following setting. We used Censu...
 1.3.112: Exercises 111 and 112 refer to the following setting. We used Censu...
 1.3.113: Success in college (1.1) The 2007 Freshman Survey asked firstyear ...
Solutions for Chapter 1.3: Describing Quantitative Data with Numbers
Full solutions for The Practice of Statistics  5th Edition
ISBN: 9781464108730
Solutions for Chapter 1.3: Describing Quantitative Data with Numbers
Get Full SolutionsThe Practice of Statistics was written by and is associated to the ISBN: 9781464108730. This expansive textbook survival guide covers the following chapters and their solutions. Chapter 1.3: Describing Quantitative Data with Numbers includes 35 full stepbystep solutions. This textbook survival guide was created for the textbook: The Practice of Statistics, edition: 5. Since 35 problems in chapter 1.3: Describing Quantitative Data with Numbers have been answered, more than 3576 students have viewed full stepbystep solutions from this chapter.

2 k p  factorial experiment
A fractional factorial experiment with k factors tested in a 2 ? p fraction with all factors tested at only two levels (settings) each

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).

Adjusted R 2
A variation of the R 2 statistic that compensates for the number of parameters in a regression model. Essentially, the adjustment is a penalty for increasing the number of parameters in the model. Alias. In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.

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

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

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 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.

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

Correlation coeficient
A dimensionless measure of the linear association between two variables, usually lying in the interval from ?1 to +1, with zero indicating the absence of correlation (but not necessarily the independence of the two variables).

Counting techniques
Formulas used to determine the number of elements in sample spaces and events.

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.

Cumulative normal distribution function
The cumulative distribution of the standard normal distribution, often denoted as ?( ) x and tabulated in Appendix Table II.

Defect
Used in statistical quality control, a defect is a particular type of nonconformance to speciications or requirements. Sometimes defects are classiied into types, such as appearance defects and functional defects.

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

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

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

Forward selection
A method of variable selection in regression, where variables are inserted one at a time into the model until no other variables that contribute signiicantly to the model can be found.

Fractional factorial experiment
A type of factorial experiment in which not all possible treatment combinations are run. This is usually done to reduce the size of an experiment with several factors.

Frequency distribution
An arrangement of the frequencies of observations in a sample or population according to the values that the observations take on