Sampling and sampling distributions
MULTIPLE CHOICE
1. Parameters are
a. numerical characteristics of a sample
b. numerical characteristics of a population
c. the averages taken from a sample
d. numerical characteristics of either a sample or a population
Introduction to probability
MULTIPLE CHOICE
1. Each individual outcome of an experiment is called
a. the sample space
b. a sample point
c. an experiment
d. an individual
ANS: B
PTS: 1
TOP: Probability Concepts
2. A graphical method of representing the sam
Multiple regression
MULTIPLE CHOICE
1. The mathematical equation relating the expected value of the dependent variable to the value of the
independent variables, which has the form of E(y) =
is
a.
b.
c.
d.
a simple linear regression model
a multiple nonli
Hypothesis tests
MULTIPLE CHOICE
1. An assumption made about the value of a population parameter is called a
a. hypothesis
b. conclusion
c. confidence
d. significance
ANS: A
PTS: 1
TOP: Hypothesis Tests
2. In hypothesis testing if the null hypothesis is r
Interval estimation
MULTIPLE CHOICE
1. The absolute value of the difference between the point estimate and the population parameter it
estimates is
a. the standard error
b. the sampling error
c. precision
d. the error of confidence
ANS: B
PTS: 1
TOP: Inte
Tests of goodness of fit and independence
MULTIPLE CHOICE
1. A population where each element of the population is assigned to one and only one of several classes
or categories is a
a. multinomial population
b. Poisson population
c. normal population
d. No
Descriptive statistics
MULTIPLE CHOICE
1. A frequency distribution is a tabular summary of data showing the
a. fraction of items in several classes
b. percentage of items in several classes
c. relative percentage of items in several classes
d. number of i
Continuous Distributions
MULTIPLE CHOICE
1. The center of a normal curve is
a. always equal to zero
b. is the mean of the distribution
c. cannot be negative
d. is the standard deviation
ANS: B
PTS: 1
TOP: Continuous Probability Distributions
2. A normal d
Discrete probability distributions
MULTIPLE CHOICE
1. A numerical description of the outcome of an experiment is called a
a. descriptive statistic
b. probability function
c. variance
d. random variable
ANS: D
PTS: 1
TOP: Discrete Probability Distributions
Measure of association and simple linear regression
MULTIPLE CHOICE
1. A numerical measure of linear association between two variables is the
a. variance
b. covariance
c. standard deviation
d. coefficient of variation
ANS: B
PTS: 1
TOP: Descriptive Statis