QUESTION 1: A portion of the population selected to represent the population is called
statistical inference
Data and Statistics
a census
a sample
QUESTION 2: The process of analyzing sample data in order to draw conclusions about the characteristics of a population is called
Data and Statistics
statistical inference
data analysis
data summarization
QUESTION 3: A numerical value used as a summary measure for a sample, such as sample mean, is known as a
population parameter
sample parameter
sample statistic
population mean
QUESTION 4: The set of all possible sample points (experimental outcomes) is called
a sample
an event
the sample space
a population
QUESTION 5: A numerical description of the outcome of an experiment is called a
descriptive statistic
probability function
variance
random variable
QUESTION 6: A description of the distribution of the values of a random variable and their associated probabilities is called a
probability distribution
random variance
random variable
expected value
QUESTION 7: Which of the following is not a characteristic of the normal probability distribution?
The mean, median, and the mode are equal
The mean of the distribution can be negative, zero, or positive
The distribution is symmetrical
The standard deviation must be 1
QUESTION 8: A theorem that allows us to use the normal probability distribution to approximate the sampling distribution of sample means and sample proportions whenever the sample size is large is known as the
approximation theorem
normal probability theorem
central limit theorem
central normality theorem
QUESTION 9: The value added and subtracted from a point estimate in order to develop an interval estimate of the population parameter is known as the
confidence level
margin of error
parameter estimate
interval estimate
QUESTION 10: Whenever the population standard deviation is unknown and the population has a normal or near-normal distribution, which distribution is used in developing an interval estimation?
standard distribution
z distribution
alpha distribution
t distribution
QUESTION 11: The level of significance
can be any positive value
can be any value
is (1 - confidence level)
can be any value between -1.96 to 1.96
QUESTION 12: When the p-value is used for hypothesis testing, the null hypothesis is rejected if
p-value ≤ α
α < p-value
p-value ≥ α
p-value = 1 - α
QUESTION 13: The p-value is a probability that measures the support (or lack of support) for the
null hypothesis
alternative hypothesis
either the null or the alternative hypothesis
sample statistic
QUESTION 14: The coefficient of correlation
is the square of the coefficient of determination
is the square root of the coefficient of determination
is the same as r-square
can never be negative
QUESTION 15: Regression analysis is a statistical procedure for developing a mathematical equation that describes how
one independent and one or more dependent variables are related
several independent and several dependent variables are related
one dependent and one or more independent variables are related
None of these alternatives is correct.