QNT 275 Week 5 Practice Set

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

Here’s the SOLUTION

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