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QNT 275 FINAL EXAM 2017

We can use the analysis of variance procedure to test hypotheses about:

• the proportion of one population
• two or more population proportions
• two or more population means
• the mean of one population

For a one-tailed test the p-value is:

• twice 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 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

In a hypothesis test a Type I error occurs when:

• a false null hypothesis is not rejected
• a true null hypothesis is rejected
• a true null hypothesis is not rejected
• a false null hypothesis is rejected

You toss a coin nine times and observe 3 heads and 6 tails. This event is a:

• multiple outcome
• simple event
• multinomial sample point
• compound event

The graph of a cumulative frequency distribution is a(n):

• stem-and-leaf display
• frequency histogram
• ogive
• line graph

What is the critical value of t for the hypothesis test?

• 2.441
• 2.449
• 2.733
• 2.738

An error that occurs because of chance is called:

• mean error
• probability error
• sampling error
• nonsampling error

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:

• equal to 30 minutes
• not equal to 30 minutes
• less than or equal to 30 minutes
• less than 30 minutes

A quantitative variable is the only type of variable that can:

• have no intermediate values
• be used to prepare tables
• assume numeric values for which arithmetic operations make sense
• be graphed

Which of the following pairs of events are mutually exclusive?

• Female and no
• Female and yes
• Female and male
• No and yes

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

Two paired or matched samples would imply that:

• data are collected on two variables from the elements of two independent 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
• data are collected on one variable from the elements of two independent samples

The p-value is the:

• largest significance level at which the alternative 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
• smallest significance level at which the null hypothesis can be rejected

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:

• sampling distribution
• sample distribution
• sample mean
• sample proportion

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 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:

• skewed to the left
• not normal
• approximately normal
• skewed to the right

Which of the following assumptions is not required to use ANOVA?

• All samples are of the same size.
• The samples drawn from different populations are random and independent.
• The populations from which the samples are drawn are (approximately) normally distributed.
• The populations from which the samples are drawn have the same variance.

The model y = A + Bx is a:

• nonlinear model
• stochastic model
• probabilistic model
• deterministic model

The mean of a discrete random variable is its:

• second quartile
• box-and-whisker measure
• upper hinge
• expected value

In a one-way ANOVA, we analyze only one:

• population
• mean
• variable
• sample

The regression model y = A + Bx + e is:

• an exact relationship
• a probabilistic model
• a nonlinear model
• a deterministic model

For a goodness-of-fit test, the frequencies obtained from the performance of an experiment are the:

• objective frequencies
• observed frequencies
• subjective frequencies
• expected frequencies

The mean of a discrete random variable is the mean of its:

• frequency distribution
• second and third quartiles
• percentage distribution
• probability distribution

A researcher wants to test if the mean annual salary of all lawyers in a city is different than \$110000. The null hypothesis for this example will be that the population mean is:

• greater than to \$110,000
• not equal to \$110,000
• equal to \$110,000
• less than to \$110,000

To make tests of hypotheses about more than two population means we use the:

• t distribution
• normal distribution
• chi-square distribution
• analysis of variance distribution

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 least one of them owns a telephone answering machine.
• Neither of the two owns a telephone answering machine.
• Exactly one of them owns a telephone answering machine.

What is the critical value of z for the hypothesis test?

• -2.05
• -2.33
• -2.17
• -1.96

A qualitative variable is the only type of variable that:

• can assume an uncountable set of values
• cannot be measured numerically
• cannot be graphed
• can assume numerical values

The alternative hypothesis is a claim about a:

• 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
• statistic, 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

For small degrees of freedom, the chi-square distribution is:

• rectangular
• skewed to the left
• symmetric
• skewed to the right