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QMB3200 Final Exam
QMB3200 Final Exam
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1
A negative sample covariance indicates that as one variable increases in value, the second variable tends to decrease.
False
True
2
The p-value for this hypothesis test would be ________.
0.008
0.05
0.013
0.10
3
________ probability represents the likelihood of a single event occurring by itself.
Empirical
Classical
Subjective
Simple
4
________ totals the proportion of observations that are less than or equal to the class at which you are looking.
Histograms
Relative frequency distributions
Frequency distributions
Cumulative relative frequency distributions
5
Which of the following is an example of qualitative data?
the class average of your last statistics exam
the amount of time that you studied for your last statistics exam
your last name
today's high temperature
6
The sample ___ measures the direction of the linear relationship between two variables but does not measure the strength
Correlation
Covariance
7
When the chi-square test statistic is greater than the chi-square critical value when comparing two or more population p
True
False
8
Comparing the consistency between two data sets when their means are very different is best done with the ________.
median
standard deviation
coefficient of variation
z-score
9
The ________ measures a distribution's standard deviation in terms of its percentage to the mean.
coefficient of variation
z-score
median
variance
10
When using the chi-square hypothesis test and the observed frequencies are relatively, which of the following is true?
Empty choice
Empty choice
11
Which of the following statements is true regarding the normal probability distribution?
The mean is always greater than the median.
The mean and median are roughly equal to one another.
The mean is always greater than the mode.
The mean is always less than the median.
12
The sample correlation can be a positive value, negative value, or zero.
False
True
13
The conclusion for this hypothesis test would be that because the test statistic is
more than the critical value, we cannot conclude that the average age of Me
more than the critical value, we can conclude that the average age of Merri
less than the critical value, we can conclude that the average age of Merri
less than the critical value, we cannot conclude that the average age of Me
14
The correct hypothesis statement for this hypothesis test would be _________________________.
H : p ≥ 0.90; H : p < 0.90
H0: p ≤ 0.90; H1: p ≠ 0.90
H : p ≤ 0.90; H : p > 0.90
H0: p = 0.90; H1: p ≠ 0.90
15
According to climate data recorded since 1884, the average annual rainfall in Tallahassee, FL is 22.3 inches. This value
inferential statistics.
descriptive statistics.
qualitative data
biased data.
16
Use a 95% confidence interval to test the validity of this report and choose the one statement that is correct.
Because this confidence interval does include $166, the report is validated
Because this confidence interval does not include $166, the report by Ameri
Because this confidence interval does include $166, the report not validate
Because this confidence interval does not include $166, the report by Ameri
17
The degrees of freedom for the critical value of F are
3 and 19
4 and 17
3 and 20
3 and 16
18
The level of significance represents the probability of making a Type I error
False
True
19
________ probability requires that you count the frequency that an event occurs through an experiment and calculate the
Subjective
Classical
Empirical
Simple
20
When calculating the sample mean of grouped data, the value represents an estimate of the true sample mean.
False
True
21
The null hypothesis is to be tested at the 5% level of significance. The critical value from the table is
3.24
4.08
8.7
2.87
22
The p-value for this hypothesis test would be ________.
0.009
0.025
0.991
0.006
23
The sample standard deviation for grouped data provides an exact value for the sample standard deviation.
False
True
24
In the analysis of variance procedure (ANOVA), factor refers to
different levels of a treatment
the dependent variable
the critical value of F
the independent variable
25
The Central Limit Theorem plays an important role in statistics because it provides information about the shape of the
population distribution when the sample size is sufficiently large.
population distribution for any sample size.
sampling distribution for any sample size.
sampling distribution when the sample size is sufficiently large
26
When calculating a confidence interval for proportions, we assume that proportion data follow the
binomial distribution
Student's t-distribution
Poisson distribution
uniform distribution
27
The critical value for an 90% confidence interval for the proportion is ________.
± 2.65
± 1.96
± 1.64
± 1.44
28
The correct hypothesis statement for this hypothesis test would be __________________________.
H0: ≥ 735; H1: < 735
H0: = 735; H1: ≠ 735
H0: μ = 735; H1: μ ≠ 735
H : ≤ 735; H : > 735
29
The conclusion for this hypothesis test would be that because the test statistic is _________________.
more than the critical value, we can conclude that the average credit score
less than the critical value, we can conclude that the average credit score
more than the critical value, we cannot conclude that the average credit sc
less than the critical value, we fail to reject the null and conclude that
30
The sample covariance measures the direction of the linear relationship between two variables.
False
True
31
When the discrete random variable is expressed in terms of dollars, the mean of the distribution is known as the _______
average value of the distribution
expected value of sample information
expected monetary value
expected value of the distribution
32
The sample correlation measures the strength between two variables.
False
True
33
The class ________ is the breadth, or range, of numbers we plan to put into each class of a frequency distribution using
boundary
width
frequency
number
34
The required condition for using an ANOVA procedure on data from several populations is that the
sampled populations have equal means
the selected samples are dependent on each other
sampled populations have equal variances
sampled populations are all uniform
35
The shape of the exponential distribution is ________.
right-skewed
symmetrical
left-skewed
flat
36
This data is an example of a ________.
relative frequency distribution
histogram
contingency table
stem and leaf diagram
37
Increasing the sample size when calculating a confidence interval while keeping the confidence level constant will
reduce the margin of error resulting in a wider (less precise) confidence i
increase the margin of error resulting in a wider (more precise) confidence
reduce the margin of error resulting in a narrower (more precise) confidenc
increase the margin of error resulting in a narrower (more precise) confide
