- 1.1.9: Cool car colors The most popular colors for cars and light trucks c...
- 1.1.10: Spam Email spam is the curse of the Internet. Here is a compilation...
- 1.1.11: Birth days Births are not evenly distributed across the days of the...
- 1.1.12: Deaths among young people Among persons aged 15 to 24 years in the ...
- 1.1.13: Hispanic origins Below is a pie chart prepared by the Census Bureau...
- 1.1.14: Which major? About 1.6 million first-year students enroll in colleg...
- 1.1.15: Buying music online Young people are more likely than older folk to...
- 1.1.16: The audience for movies Here are data on the percent of people in s...
- 1.1.17: Going to school Students in a high school statistics class were giv...
- 1.1.18: Oatmeal and cholesterol Does eating oatmeal reduce cholesterol? An ...
- 1.1.19: Attitudes toward recycled products Recycling is supposed to save re...
- 1.1.20: Smoking by students and parents Here are data from a survey conduct...
- 1.1.21: Attitudes toward recycled products Exercise 19 gives data on the op...
- 1.1.22: Smoking by students and parents Refer to Exercise 20. Calculate thr...
- 1.1.23: Popular colorshere and there Favorite vehicle colors may differ amo...
- 1.1.24: Comparing car colors Favorite vehicle colors may differ among types...
- 1.1.25: Snowmobiles in the park Yellowstone National Park surveyed a random...
- 1.1.26: Angry people and heart disease People who get angry easily tend to ...
- 1.1.27: Multiple choice: Select the best answer for Exercises 27 to 34. Exe...
- 1.1.28: Multiple choice: Select the best answer for Exercises 27 to 34. Exe...
- 1.1.29: Multiple choice: Select the best answer for Exercises 27 to 34. Exe...
- 1.1.30: Multiple choice: Select the best answer for Exercises 27 to 34. Exe...
- 1.1.31: Multiple choice: Select the best answer for Exercises 27 to 34. Exe...
- 1.1.32: Multiple choice: Select the best answer for Exercises 27 to 34. Exe...
- 1.1.33: Multiple choice: Select the best answer for Exercises 27 to 34. Exe...
- 1.1.34: Multiple choice: Select the best answer for Exercises 27 to 34. Exe...
- 1.1.35: Marginal distributions arent the whole story Here are the row and c...
- 1.1.36: Fuel economy (Introduction) Here is a small part of a data set that...
Solutions for Chapter 1.1: Analyzing Categorical Data
Full solutions for The Practice of Statistics | 5th Edition
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
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.
In statistical hypothesis testing, this is a hypothesis other than the one that is being tested. The alternative hypothesis contains feasible conditions, whereas the null hypothesis speciies conditions that are under test
The portion of the variability in a set of observations that can be traced to speciic causes, such as operators, materials, or equipment. Also called a special cause.
An estimator for a parameter obtained from a Bayesian method that uses a prior distribution for the parameter along with the conditional distribution of the data given the parameter to obtain the posterior distribution of the parameter. The estimator is obtained from the posterior distribution.
Binomial random variable
A discrete random variable that equals the number of successes in a ixed number of Bernoulli trials.
A subset selected without replacement from a set used to determine the number of outcomes in events and sample spaces.
Conditional probability mass function
The probability mass function of the conditional probability distribution of a discrete random variable.
The variance of the conditional probability distribution of a random variable.
An estimator that converges in probability to the true value of the estimated parameter as the sample size increases.
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).
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 off-diagonal elements are the covariances between Xi and Xj . Also called the variance-covariance matrix. When the random variables are standardized to have unit variances, the covariance matrix becomes the correlation matrix.
Cumulative distribution function
For a random variable X, the function of X deined as PX x ( ) ? that is used to specify the probability distribution.
An expression sometimes used for nonlinear regression models or polynomial regression models.
Distribution free method(s)
Any method of inference (hypothesis testing or conidence interval construction) that does not depend on the form of the underlying distribution of the observations. Sometimes called nonparametric method(s).
The variance of an error term or component in a model.
Estimate (or point estimate)
The numerical value of a point estimator.
The distribution of the random variable deined as the ratio of two independent chi-square random variables, each divided by its number of degrees of freedom.
Fraction defective control chart
See P chart
An arrangement of the frequencies of observations in a sample or population according to the values that the observations take on
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