1. Because the t and F procedures require the distributional assumption of normality, they are not _ procedures.
ANS: distribution free
2. Because the t and F procedures are based on a particular parametric family of distribut
1. A _ generalizes a binomial experiment by allowing each trial to result in one of k possible outcomes
(categories), where k > 2.
ANS: multinomial experiment
2. The chi-squared distribution has a single parameter
, called the
1. _ are now used extensively in industry as diagnostic techniques for monitoring production processes to identify instability and unusual circumstances.
ANS: Control charts
2. Sources of variation that may have a pernicious
1. In two-factor ANOVA, when factor A consists of I levels and factor B consists of J levels, there are _
different combinations (pairs) of levels of the two factors, each called a _.
ANS: IJ, treatment
2. Assume the existence
be a random sample with mean
and Y samples are independent of one another. The expected value of
and that the X
is _ and the standard de-
Chapter 8 Tests of Hypotheses Based on a Single Sample
1. In many situations, the alternative hypothesis is referred to as the _ hypothesis, since it is the state ment the researcher would really like to validate.
2. The _
Chapter 7 - Statistical Intervals Based on a Single Sample
1. The formula used to construct a 95% confidence interval for the mean
of the standard deviation
of a normal population when the value
is known is given by _.
2. If the ran
Chapter 6 Point Estimation
1. The objective of _ is to select a single number such as
, based on sample data, that represents a
sensible value (good guess) for the true value of the population parameter, such as
ANS: point estimation
Chapter 4 - Continuous Random Variables and Probability Distributions
1. Let X denote the amount of time for which a book on 2-hour reserve at a college-library is checked out by a randomly selected student and suppose that X
Calculate the fo
1. The simplest ANOVA problem is referred to variously as a single-factor, single-classification, or _
2. In a single-factor ANOVA, the characteristic that differentiates the treatments or populations fro
Chapter 5 - Joint Probability Distributions and Random Samples
1. Each front tire on a particular type of vehicle is supposed to be filled to a pressure of 26 psi. Suppose the actual
air pressure in each tire is a random variableX for the rig
CHAPTER 2 - Probability
1. Suppose that vehicles taking a particular freeway exit can turn right (R), turn left (L), or go straight (S). Consider
observing the direction for each of three successive vehicles.
List all outcomes in
CHAPTER 3 - Discrete Random Variables and Probability Distributions
1. Three automobiles are selected at random, and each is categorized as having a diesel (S) or nondiesel (F) engine
(so outcomes are SSS, SSF, etc.). If X = the number of car
Chapter 1 Overview and Descriptive Statistics
1. Give one possible sample of size 4 from each of the following populations:
a. All daily newspapers published in the United States
b. All companies listed on the New York Stock Exchange
c. All s