To make tests of hypotheses about more than two population means, we use the:
normal distribution
chi-square distribution
analysis of variance distribution
t distribution
A continuous random variable x has a right-skewed distribution with a mean of 80 and a standard deviation of 12. The sampling distribution of the sample mean for a sample of 50 elements taken from this population is:
not normal
skewed to the left
skewed to the right
approximately normal
The model y = A + Bx is a:
probabilistic model
stochastic model
nonlinear model
deterministic model
For a goodness-of-fit test, the frequencies obtained from the performance of an experiment are the:
expected frequencies
observed frequencies
objective frequencies
subjective frequencies
An error that occurs because of chance is called:
probability error
mean error
nonsampling error
sampling error
What is the critical value of z for the hypothesis test?
-2.05
-2.17
-2.33
-1.96
The regression model y = A + Bx + e is:
a deterministic model
a probabilistic model
an exact relationship
a nonlinear model
A researcher wants to test if elementary school children spend less than 30 minutes per day on homework. The alternative hypothesis for this example will be that the population mean is:
less than or equal to 30 minutes
less than 30 minutes
equal to 30 minutes
not equal to 30 minutes
What is the critical value of t for the hypothesis test?
2.738
2.449
2.733
2.441
You randomly select two households and observe whether or not they own a telephone answering machine. Which of the following is a simple event?
At most one of them owns a telephone answering machine.
Exactly one of them owns a telephone answering machine.
At least one of them owns a telephone answering machine.
Neither of the two owns a telephone answering machine.
For small degrees of freedom, the chi-square distribution is:
rectangular
skewed to the left
skewed to the right
symmetric
In a hypothesis test, a Type I error occurs when:
a true null hypothesis is not rejected
a false null hypothesis is not rejected
a false null hypothesis is rejected
a true null hypothesis is rejected
A quantitative variable is the only type of variable that can:
be used to prepare tables
assume numeric values for which arithmetic operations make sense
have no intermediate values
be graphed
The mean of a discrete random variable is its:
box-and-whisker measure
upper hinge
expected value
second quartile
For a one-tailed test, the p-value is:
twice the area under the curve between the mean and the observed value of the sample statistic
the area under the curve between the mean and the observed value of the sample statistic
the area under the curve to the same side of the value of the sample statistic as is specified in the alternative hypothesis
twice the area under the curve to the same side of the value of the sample statistic as is specified in the alternative hypothesis
In a one-way ANOVA, we analyze only one:
mean
population
sample
variable
The alternative hypothesis is a claim about a:
parameter, where the claim is assumed to be true if the null hypothesis is declared false
statistic, where the claim is assumed to be true if the null hypothesis is declared false
statistic, where the claim is assumed to be false until it is declared true
parameter, where the claim is assumed to be true until it is declared false
A researcher wants to test if the mean annual salary of all lawyers in a city is different than $110,000. The null hypothesis for this example will be that the population mean is:
greater than to $110,000
not equal to $110,000
less than to $110,000
equal to $110,000
A qualitative variable is the only type of variable that:
cannot be graphed
can assume an uncountable set of values
can assume numerical values
cannot be measured numerically
You toss a coin nine times and observe 3 heads and 6 tails. This event is a:
multiple outcome
multinomial sample point
simple event
compound event
Which of the following pairs of events are mutually exclusive?
Female and male
No and yes
Female and yes
Female and no
The p-value is the:
smallest significance level at which the null hypothesis can be rejected
smallest significance level at which the null hypothesis can be rejected
largest significance level at which the null hypothesis can be rejected
largest significance level at which the alternative hypothesis can be rejected
Which of the following assumptions is not required to use ANOVA?
The populations from which the samples are drawn have the same variance.
The populations from which the samples are drawn are (approximately) normally distributed.
The samples drawn from different populations are random and independent.
All samples are of the same size.
Two paired or matched samples would imply that:
two data values are collected from the same source (elements) for two dependent samples
two data values are collected from the same source (elements) for two independent samples
data are collected on two variables from the elements of two independent samples
data are collected on one variable from the elements of two independent samples
We can use the analysis of variance procedure to test hypotheses about:
the proportion of one population
the mean of one population
two or more population proportions
two or more population means
The graph of a cumulative frequency distribution is a(n):
frequency histogram
line graph
stem-and-leaf display
ogive
In a hypothesis test, a Type II error occurs when:
a false null hypothesis is rejected
a false null hypothesis is not rejected
a true null hypothesis is not rejected
a true null hypothesis is rejected
The mean of a discrete random variable is the mean of its:
percentage distribution
frequency distribution
probability distribution
second and third quartiles
If you divide the number of elements in a sample with a specific characteristic by the total number of elements in the sample, the dividend is the:
sample distribution
sample proportion
sampling distribution
sample mean
A linear regression:
gives a relationship between two variables that can be described by a line
gives a relationship between two variables that cannot be described by a line
gives a relationship between three variables that can be described by a line
contains only two variables
We can use the analysis of variance procedure to test hypotheses about:
the proportion of one population
two or more population means
the mean of one population
two or more population proportions
For small degrees of freedom, the chi-square distribution is:
Rectangular
skewed to the left
symmetric
skewed to the right
The alternative hypothesis is a claim about a:
statistic, where the claim is assumed to be false until it is declared true
statistic, where the claim is assumed to be true if the null hypothesis is declared false
population parameter, where the claim is assumed to be true until it is declared false
population parameter, where the claim is assumed to be true if the null hypothesis is declared false
In a hypothesis test, a Type II error occurs when:
a false null hypothesis is rejected
a true null hypothesis is rejected
a true null hypothesis is not rejected
a false null hypothesis is not rejected
In a one-way ANOVA, we analyze only one:
population
mean
variable
sample
To make tests of hypotheses about more than two population means, we use the:
normal distribution
chi-square distribution
analysis of variance distribution
t distribution
A continuous random variable x has a right-skewed distribution with a mean of 80 and a standard deviation of 12. The sampling distribution of the sample mean for a sample of 50 elements taken from this population is:
not normal
skewed to the left
skewed to the right
approximately normal
The model y = A + Bx is a:
probabilistic model
stochastic model
nonlinear model
deterministic model
For a goodness-of-fit test, the frequencies obtained from the performance of an experiment are the:
expected frequencies
observed frequencies
objective frequencies
subjective frequencies
An error that occurs because of chance is called:
probability error
mean error
nonsampling error
sampling error
What is the critical value of z for the hypothesis test?
-2.05
-2.17
-2.33
-1.96
The regression model y = A + Bx + e is:
a deterministic model
a probabilistic model
an exact relationship
a nonlinear model
A researcher wants to test if elementary school children spend less than 30 minutes per day on homework. The alternative hypothesis for this example will be that the population mean is:
less than or equal to 30 minutes
less than 30 minutes
equal to 30 minutes
not equal to 30 minutes
What is the critical value of t for the hypothesis test?
2.738
2.449
2.733
2.441
You randomly select two households and observe whether or not they own a telephone answering machine. Which of the following is a simple event?
At most one of them owns a telephone answering machine.
Exactly one of them owns a telephone answering machine.
At least one of them owns a telephone answering machine.
Neither of the two owns a telephone answering machine.
For small degrees of freedom, the chi-square distribution is:
rectangular
skewed to the left
skewed to the right
symmetric
In a hypothesis test, a Type I error occurs when:
a true null hypothesis is not rejected
a false null hypothesis is not rejected
a false null hypothesis is rejected
a true null hypothesis is rejected
A quantitative variable is the only type of variable that can:
be used to prepare tables
assume numeric values for which arithmetic operations make sense
have no intermediate values
be graphed
The mean of a discrete random variable is its:
box-and-whisker measure
upper hinge
expected value
second quartile
For a one-tailed test, the p-value is:
twice the area under the curve between the mean and the observed value of the sample statistic
the area under the curve between the mean and the observed value of the sample statistic
the area under the curve to the same side of the value of the sample statistic as is specified in the alternative hypothesis
twice the area under the curve to the same side of the value of the sample statistic as is specified in the alternative hypothesis
In a one-way ANOVA, we analyze only one:
mean
population
sample
variable
The alternative hypothesis is a claim about a:
parameter, where the claim is assumed to be true if the null hypothesis is declared false
statistic, where the claim is assumed to be true if the null hypothesis is declared false
statistic, where the claim is assumed to be false until it is declared true
parameter, where the claim is assumed to be true until it is declared false
A researcher wants to test if the mean annual salary of all lawyers in a city is different than $110,000. The null hypothesis for this example will be that the population mean is:
greater than to $110,000
not equal to $110,000
less than to $110,000
equal to $110,000
A qualitative variable is the only type of variable that:
cannot be graphed
can assume an uncountable set of values
can assume numerical values
cannot be measured numerically
You toss a coin nine times and observe 3 heads and 6 tails. This event is a:
multiple outcome
multinomial sample point
simple event
compound event
Which of the following pairs of events are mutually exclusive?
Female and male
No and yes
Female and yes
Female and no
The p-value is the:
smallest significance level at which the null hypothesis can be rejected
smallest significance level at which the null hypothesis can be rejected
largest significance level at which the null hypothesis can be rejected
largest significance level at which the alternative hypothesis can be rejected
Which of the following assumptions is not required to use ANOVA?
The populations from which the samples are drawn have the same variance.
The populations from which the samples are drawn are (approximately) normally distributed.
The samples drawn from different populations are random and independent.
All samples are of the same size.
Two paired or matched samples would imply that:
two data values are collected from the same source (elements) for two dependent samples
two data values are collected from the same source (elements) for two independent samples
data are collected on two variables from the elements of two independent samples
data are collected on one variable from the elements of two independent samples
We can use the analysis of variance procedure to test hypotheses about:
the proportion of one population
the mean of one population
two or more population proportions
two or more population means
The graph of a cumulative frequency distribution is a(n):
frequency histogram
line graph
stem-and-leaf display
ogive
In a hypothesis test, a Type II error occurs when:
a false null hypothesis is rejected
a false null hypothesis is not rejected
a true null hypothesis is not rejected
a true null hypothesis is rejected
The mean of a discrete random variable is the mean of its:
percentage distribution
frequency distribution
probability distribution
second and third quartiles
If you divide the number of elements in a sample with a specific characteristic by the total number of elements in the sample, the dividend is the:
sample distribution
sample proportion
sampling distribution
sample mean
A linear regression:
gives a relationship between two variables that can be described by a line
gives a relationship between two variables that cannot be described by a line
gives a relationship between three variables that can be described by a line
contains only two variables
We can use the analysis of variance procedure to test hypotheses about:
the proportion of one population
two or more population means
the mean of one population
two or more population proportions
For small degrees of freedom, the chi-square distribution is:
Rectangular
skewed to the left
symmetric
skewed to the right
The alternative hypothesis is a claim about a:
statistic, where the claim is assumed to be false until it is declared true
statistic, where the claim is assumed to be true if the null hypothesis is declared false
population parameter, where the claim is assumed to be true until it is declared false
population parameter, where the claim is assumed to be true if the null hypothesis is declared false
In a hypothesis test, a Type II error occurs when:
a false null hypothesis is rejected
a true null hypothesis is rejected
a true null hypothesis is not rejected
a false null hypothesis is not rejected
In a one-way ANOVA, we analyze only one:
population
mean
variable
sample
To make tests of hypotheses about more than two population means, we use the:
normal distribution
chi-square distribution
analysis of variance distribution
t distribution
A continuous random variable x has a right-skewed distribution with a mean of 80 and a standard deviation of 12. The sampling distribution of the sample mean for a sample of 50 elements taken from this population is:
not normal
skewed to the left
skewed to the right
approximately normal
The model y = A + Bx is a:
probabilistic model
stochastic model
nonlinear model
deterministic model
For a goodness-of-fit test, the frequencies obtained from the performance of an experiment are the:
expected frequencies
observed frequencies
objective frequencies
subjective frequencies
An error that occurs because of chance is called:
probability error
mean error
nonsampling error
sampling error
What is the critical value of z for the hypothesis test?
-2.05
-2.17
-2.33
-1.96
The regression model y = A + Bx + e is:
a deterministic model
a probabilistic model
an exact relationship
a nonlinear model
A researcher wants to test if elementary school children spend less than 30 minutes per day on homework. The alternative hypothesis for this example will be that the population mean is:
less than or equal to 30 minutes
less than 30 minutes
equal to 30 minutes
not equal to 30 minutes
What is the critical value of t for the hypothesis test?
2.738
2.449
2.733
2.441
You randomly select two households and observe whether or not they own a telephone answering machine. Which of the following is a simple event?
At most one of them owns a telephone answering machine.
Exactly one of them owns a telephone answering machine.
At least one of them owns a telephone answering machine.
Neither of the two owns a telephone answering machine.
For small degrees of freedom, the chi-square distribution is:
rectangular
skewed to the left
skewed to the right
symmetric
In a hypothesis test, a Type I error occurs when:
a true null hypothesis is not rejected
a false null hypothesis is not rejected
a false null hypothesis is rejected
a true null hypothesis is rejected
A quantitative variable is the only type of variable that can:
be used to prepare tables
assume numeric values for which arithmetic operations make sense
have no intermediate values
be graphed
The mean of a discrete random variable is its:
box-and-whisker measure
upper hinge
expected value
second quartile
For a one-tailed test, the p-value is:
twice the area under the curve between the mean and the observed value of the sample statistic
the area under the curve between the mean and the observed value of the sample statistic
the area under the curve to the same side of the value of the sample statistic as is specified in the alternative hypothesis
twice the area under the curve to the same side of the value of the sample statistic as is specified in the alternative hypothesis
In a one-way ANOVA, we analyze only one:
mean
population
sample
variable
The alternative hypothesis is a claim about a:
parameter, where the claim is assumed to be true if the null hypothesis is declared false
statistic, where the claim is assumed to be true if the null hypothesis is declared false
statistic, where the claim is assumed to be false until it is declared true
parameter, where the claim is assumed to be true until it is declared false
A researcher wants to test if the mean annual salary of all lawyers in a city is different than $110,000. The null hypothesis for this example will be that the population mean is:
greater than to $110,000
not equal to $110,000
less than to $110,000
equal to $110,000
A qualitative variable is the only type of variable that:
cannot be graphed
can assume an uncountable set of values
can assume numerical values
cannot be measured numerically
You toss a coin nine times and observe 3 heads and 6 tails. This event is a:
multiple outcome
multinomial sample point
simple event
compound event
Which of the following pairs of events are mutually exclusive?
Female and male
No and yes
Female and yes
Female and no
The p-value is the:
smallest significance level at which the null hypothesis can be rejected
smallest significance level at which the null hypothesis can be rejected
largest significance level at which the null hypothesis can be rejected
largest significance level at which the alternative hypothesis can be rejected
Which of the following assumptions is not required to use ANOVA?
The populations from which the samples are drawn have the same variance.
The populations from which the samples are drawn are (approximately) normally distributed.
The samples drawn from different populations are random and independent.
All samples are of the same size.
Two paired or matched samples would imply that:
two data values are collected from the same source (elements) for two dependent samples
two data values are collected from the same source (elements) for two independent samples
data are collected on two variables from the elements of two independent samples
data are collected on one variable from the elements of two independent samples
We can use the analysis of variance procedure to test hypotheses about:
the proportion of one population
the mean of one population
two or more population proportions
two or more population means
The graph of a cumulative frequency distribution is a(n):
frequency histogram
line graph
stem-and-leaf display
ogive
In a hypothesis test, a Type II error occurs when:
a false null hypothesis is rejected
a false null hypothesis is not rejected
a true null hypothesis is not rejected
a true null hypothesis is rejected
The mean of a discrete random variable is the mean of its:
percentage distribution
frequency distribution
probability distribution
second and third quartiles
If you divide the number of elements in a sample with a specific characteristic by the total number of elements in the sample, the dividend is the:
sample distribution
sample proportion
sampling distribution
sample mean
A linear regression:
gives a relationship between two variables that can be described by a line
gives a relationship between two variables that cannot be described by a line
gives a relationship between three variables that can be described by a line
contains only two variables
We can use the analysis of variance procedure to test hypotheses about:
the proportion of one population
two or more population means
the mean of one population
two or more population proportions
For small degrees of freedom, the chi-square distribution is:
Rectangular
skewed to the left
symmetric
skewed to the right
The alternative hypothesis is a claim about a:
statistic, where the claim is assumed to be false until it is declared true
statistic, where the claim is assumed to be true if the null hypothesis is declared false
population parameter, where the claim is assumed to be true until it is declared false
population parameter, where the claim is assumed to be true if the null hypothesis is declared false
In a hypothesis test, a Type II error occurs when:
a false null hypothesis is rejected
a true null hypothesis is rejected
a true null hypothesis is not rejected
a false null hypothesis is not rejected
In a one-way ANOVA, we analyze only one:
population
mean
variable
sample
To make tests of hypotheses about more than two population means, we use the:
To make tests of hypotheses about more than two population means, we use the:
normal distribution
normal distribution
chi-square distribution
chi-square distribution
analysis of variance distribution
analysis of variance distribution
t distribution
t distributiontt distribution
A continuous random variable x has a right-skewed distribution with a mean of 80 and a standard deviation of 12. The sampling distribution of the sample mean for a sample of 50 elements taken from this population is:
A continuous random variable x has a right-skewed distribution with a mean of 80 and a standard deviation of 12. The sampling distribution of the sample mean for a sample of 50 elements taken from this population is:A continuous random variable xx has a right-skewed distribution with a mean of 80 and a standard deviation of 12. The sampling distribution of the sample mean for a sample of 50 elements taken from this population is:
not normal
not normal
skewed to the left
skewed to the left
skewed to the right
skewed to the right
approximately normal
approximately normal
The model y = A + Bx is a:
The model y = A + Bx is a:The model y = A + Bxy = A + Bx is a:
probabilistic model
probabilistic model
stochastic model
stochastic model
nonlinear model
nonlinear model
deterministic model
deterministic model
For a goodness-of-fit test, the frequencies obtained from the performance of an experiment are the:
For a goodness-of-fit test, the frequencies obtained from the performance of an experiment are the:
expected frequencies
expected frequencies
observed frequencies
observed frequencies
objective frequencies
objective frequencies
subjective frequencies
subjective frequencies
An error that occurs because of chance is called:
An error that occurs because of chance is called:
probability error
probability error probability error
mean error
mean error
nonsampling error
nonsampling error
sampling error
sampling error
What is the critical value of z for the hypothesis test?
What is the critical value of z for the hypothesis test?z
-2.05
-2.05
-2.17
-2.17
-2.33
-2.33
-1.96
-1.96
The regression model y = A + Bx + e is:
The regression model y = A + Bx + e is: y = A + Bx + e
a deterministic model
a deterministic model
a probabilistic model
a probabilistic model
an exact relationship
an exact relationship
a nonlinear model
a nonlinear model
A researcher wants to test if elementary school children spend less than 30 minutes per day on homework. The alternative hypothesis for this example will be that the population mean is:
A researcher wants to test if elementary school children spend less than 30 minutes per day on homework. The alternative hypothesis for this example will be that the population mean is:
less than or equal to 30 minutes
less than or equal to 30 minutes
less than 30 minutes
less than 30 minutes
equal to 30 minutes
equal to 30 minutes
not equal to 30 minutes
not equal to 30 minutes
What is the critical value of t for the hypothesis test?
What is the critical value of t for the hypothesis test?t
2.738
2.738
2.449
2.449
2.733
2.733
2.441
2.441
You randomly select two households and observe whether or not they own a telephone answering machine. Which of the following is a simple event?
You randomly select two households and observe whether or not they own a telephone answering machine. Which of the following is a simple event?
At most one of them owns a telephone answering machine.
At most one of them owns a telephone answering machine.
Exactly one of them owns a telephone answering machine.
Exactly one of them owns a telephone answering machine.
At least one of them owns a telephone answering machine.
At least one of them owns a telephone answering machine.
Neither of the two owns a telephone answering machine.
Neither of the two owns a telephone answering machine.
For small degrees of freedom, the chi-square distribution is:
For small degrees of freedom, the chi-square distribution is:
rectangular
rectangular
skewed to the left
skewed to the left
skewed to the right
skewed to the right skewed to the right
symmetric
symmetric
In a hypothesis test, a Type I error occurs when:
In a hypothesis test, a Type I error occurs when:
a true null hypothesis is not rejected
a true null hypothesis is not rejected
a false null hypothesis is not rejected
a false null hypothesis is not rejected
a false null hypothesis is rejected
a false null hypothesis is rejected
a true null hypothesis is rejected
a true null hypothesis is rejected
A quantitative variable is the only type of variable that can:
A quantitative variable is the only type of variable that can:
be used to prepare tables
be used to prepare tables
assume numeric values for which arithmetic operations make sense
assume numeric values for which arithmetic operations make sense
have no intermediate values
have no intermediate values
be graphed
be graphed
The mean of a discrete random variable is its:
The mean of a discrete random variable is its:
box-and-whisker measure
box-and-whisker measure
upper hinge
upper hinge
expected value
expected value
second quartile
second quartile
For a one-tailed test, the p-value is:
For a one-tailed test, the p-value is:For a one-tailed test, the pp-value is:
twice the area under the curve between the mean and the observed value of the sample statistic
twice the area under the curve between the mean and the observed value of the sample statistic
the area under the curve between the mean and the observed value of the sample statistic
the area under the curve between the mean and the observed value of the sample statistic
the area under the curve to the same side of the value of the sample statistic as is specified in the alternative hypothesis
the area under the curve to the same side of the value of the sample statistic as is specified in the alternative hypothesis
twice the area under the curve to the same side of the value of the sample statistic as is specified in the alternative hypothesis
twice the area under the curve to the same side of the value of the sample statistic as is specified in the alternative hypothesis
In a one-way ANOVA, we analyze only one:
In a one-way ANOVA, we analyze only one:
mean
mean
population
population
sample
sample
variable
variable
The alternative hypothesis is a claim about a:
The alternative hypothesis is a claim about a:
parameter, where the claim is assumed to be true if the null hypothesis is declared false
parameter, where the claim is assumed to be true if the null hypothesis is declared false
statistic, where the claim is assumed to be true if the null hypothesis is declared false
statistic, where the claim is assumed to be true if the null hypothesis is declared false
statistic, where the claim is assumed to be false until it is declared true
statistic, where the claim is assumed to be false until it is declared true
parameter, where the claim is assumed to be true until it is declared false
parameter, where the claim is assumed to be true until it is declared false
A researcher wants to test if the mean annual salary of all lawyers in a city is different than $110,000. The null hypothesis for this example will be that the population mean is:
A researcher wants to test if the mean annual salary of all lawyers in a city is different than $110,000. The null hypothesis for this example will be that the population mean is:
greater than to $110,000
greater than to $110,000
not equal to $110,000
not equal to $110,000
less than to $110,000
less than to $110,000
equal to $110,000
equal to $110,000
A qualitative variable is the only type of variable that:
A qualitative variable is the only type of variable that:
cannot be graphed
cannot be graphed
can assume an uncountable set of values
can assume an uncountable set of values
can assume numerical values
can assume numerical values
cannot be measured numerically
cannot be measured numerically
You toss a coin nine times and observe 3 heads and 6 tails. This event is a:
You toss a coin nine times and observe 3 heads and 6 tails. This event is a:
multiple outcome
multiple outcome
multinomial sample point
multinomial sample point
simple event
simple event
compound event
compound event
Which of the following pairs of events are mutually exclusive?
Which of the following pairs of events are mutually exclusive?
Female and male
Female and male
No and yes
No and yes
Female and yes
Female and yes
Female and no
Female and no
The p-value is the:
The p-value is the:The pp-value is the:
smallest significance level at which the null hypothesis can be rejected
smallest significance level at which the null hypothesis can be rejected
smallest significance level at which the null hypothesis can be rejected
smallest significance level at which the null hypothesis can be rejected
largest significance level at which the null hypothesis can be rejected
largest significance level at which the null hypothesis can be rejected
largest significance level at which the alternative hypothesis can be rejected
largest significance level at which the alternative hypothesis can be rejected
Which of the following assumptions is not required to use ANOVA?
Which of the following assumptions is not required to use ANOVA?
The populations from which the samples are drawn have the same variance.
The populations from which the samples are drawn have the same variance.
The populations from which the samples are drawn are (approximately) normally distributed.
The populations from which the samples are drawn are (approximately) normally distributed.
The samples drawn from different populations are random and independent.
The samples drawn from different populations are random and independent.
All samples are of the same size.
All samples are of the same size.
Two paired or matched samples would imply that:
Two paired or matched samples would imply that:
two data values are collected from the same source (elements) for two dependent samples
two data values are collected from the same source (elements) for two dependent samples
two data values are collected from the same source (elements) for two independent samples
two data values are collected from the same source (elements) for two independent samples
data are collected on two variables from the elements of two independent samples
data are collected on two variables from the elements of two independent samples
data are collected on one variable from the elements of two independent samples
data are collected on one variable from the elements of two independent samples
We can use the analysis of variance procedure to test hypotheses about:
We can use the analysis of variance procedure to test hypotheses about:
the proportion of one population
the proportion of one population
the mean of one population
the mean of one population
two or more population proportions
two or more population proportions
two or more population means
two or more population means
The graph of a cumulative frequency distribution is a(n):
The graph of a cumulative frequency distribution is a(n):
frequency histogram
frequency histogram
line graph
line graph
stem-and-leaf display
stem-and-leaf display
ogive
ogive
In a hypothesis test, a Type II error occurs when:
In a hypothesis test, a Type II error occurs when:
a false null hypothesis is rejected
a false null hypothesis is rejected
a false null hypothesis is not rejected
a false null hypothesis is not rejected
a true null hypothesis is not rejected
a true null hypothesis is not rejected
a true null hypothesis is rejected
a true null hypothesis is rejected
The mean of a discrete random variable is the mean of its:
The mean of a discrete random variable is the mean of its:
percentage distribution
percentage distribution
frequency distribution
frequency distribution
probability distribution
probability distribution
second and third quartiles
second and third quartiles
If you divide the number of elements in a sample with a specific characteristic by the total number of elements in the sample, the dividend is the:
If you divide the number of elements in a sample with a specific characteristic by the total number of elements in the sample, the dividend is the:
sample distribution
sample distribution
sample proportion
sample proportion sample proportion
sampling distribution
sampling distribution
sample mean
sample mean
A linear regression:
A linear regression:
gives a relationship between two variables that can be described by a line
gives a relationship between two variables that can be described by a line
gives a relationship between two variables that cannot be described by a line
gives a relationship between two variables that cannot be described by a line
gives a relationship between three variables that can be described by a line
gives a relationship between three variables that can be described by a line
contains only two variables
contains only two variables
We can use the analysis of variance procedure to test hypotheses about:
We can use the analysis of variance procedure to test hypotheses about:
the proportion of one population
the proportion of one population
two or more population means
two or more population means
the mean of one population
the mean of one population
two or more population proportions
two or more population proportions
For small degrees of freedom, the chi-square distribution is:
For small degrees of freedom, the chi-square distribution is:
Rectangular
Rectangular
skewed to the left
skewed to the left
symmetric
symmetric
skewed to the right
skewed to the right
The alternative hypothesis is a claim about a:
The alternative hypothesis is a claim about a:
statistic, where the claim is assumed to be false until it is declared true
statistic, where the claim is assumed to be false until it is declared true
statistic, where the claim is assumed to be true if the null hypothesis is declared false
statistic, where the claim is assumed to be true if the null hypothesis is declared false
population parameter, where the claim is assumed to be true until it is declared false
population parameter, where the claim is assumed to be true until it is declared false
population parameter, where the claim is assumed to be true if the null hypothesis is declared false
population parameter, where the claim is assumed to be true if the null hypothesis is declared false
In a hypothesis test, a Type II error occurs when:
In a hypothesis test, a Type II error occurs when:
a false null hypothesis is rejected
a false null hypothesis is rejected
a true null hypothesis is rejected
a true null hypothesis is rejected
a true null hypothesis is not rejected
a true null hypothesis is not rejected
a false null hypothesis is not rejected
a false null hypothesis is not rejected
In a one-way ANOVA, we analyze only one:
In a one-way ANOVA, we analyze only one:
population
population
mean
mean
variable
variable
sample
sample
