# QNT 275 Week 5 Practice Set

**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

**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.

**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

**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