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QNT 275 FINAL EXAM JULY 2017
VERSION
Buy Solutions: http://hwsoloutions.com/downloads/qnt-275-final-exam-july-2017-version/
QNT 275 FINAL EXAM JULY 2017
VERSION
QNT 275 FINAL EXAM JULY
2017 VERSION 90% SCORE
QNT 275 FINAL EXAM JULY
2017 VERSION 90% SCORE
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 $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
 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
QNT 275 FINAL EXAM JULY
2017 VERSION 90% SCORE

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QNT 275 Final Exam Solutions July 2017 Version

  • 1. QNT 275 FINAL EXAM JULY 2017 VERSION Buy Solutions: http://hwsoloutions.com/downloads/qnt-275-final-exam-july-2017-version/ QNT 275 FINAL EXAM JULY 2017 VERSION QNT 275 FINAL EXAM JULY 2017 VERSION 90% SCORE QNT 275 FINAL EXAM JULY 2017 VERSION 90% SCORE 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
  • 2.  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
  • 3.  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 $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  equal to $110,000  less than to $110,000 To make tests of hypotheses about more than two population means, we use the:
  • 4.  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 QNT 275 FINAL EXAM JULY 2017 VERSION 90% SCORE