In a questionnaire, respondents are asked to mark their gender as male or
female. Gender is an example of the
ordinal scale
nominal scale
ratio scale
interval scale
Qualitative data can be graphically represented by using a(n)
histogram
frequency polygon
ogive
bar graph
The measure of dispersion that is influenced most by extreme values is
the variance
the standard deviation
the range
the interquartile range
A numerical measure of linear association between two variables is the
variance
covariance
standard deviation
coefficient of variation
Bayes’ theorem is used to compute
the prior probabilities
the union of events
intersection of events
the posterior probabilities
If A and B are mutually exclusive events with P(A) = 0.3 and P(B) = 0.5 ,
then P(A ∩ B) =
0.30
0.15
0.00
0.20
If P(A) = 0.68 , P(A ∪ B) = 0.91 , and P(A ∩ B) = 0.35 , then P(B) =
0.22
0.09
0.65
0.58
A probability distribution showing the probability of x successes in n trials,
where the probability of success does not change from trial to trial, is
termed a
uniform probability distribution
binomial probability distribution
hypergeometric probability distribution
normal probability distribution
A production process produces 2% defective parts. A sample of five parts
from the production process is selected. What is the probability that the
sample contains exactly two defective parts?
0.0004
0.0038
0.10
0.02
The key difference between the binomial and hypergeometric distribution
is that with the hypergeometric distribution
the probability of success must be less than 0.5
the probability of success changes from trial to trial
the trials are independent of each other
the random variable is continuous
Exhibit 1
The starting salaries of individuals with an MBA degree are normally
distributed with a mean of $40,000 and a standard deviation of $5,000.
Refer to Exhibit 1. What is the probability that a randomly selected
individual with an MBA degree will get a starting salary of at least
$30,000?
0.4772
0.9772
0.0228
0.5000
Exhibit 1
The starting salaries of individuals with an MBA degree are normally
distributed with a mean of $40,000 and a standard deviation of $5,000.
Refer to Exhibit 1. What is the probability that a randomly selected
individual with an MBA degree will get a starting salary of at least
$47,500?
0.4332
0.9332
0.0668
0.5000
Exhibit 1
The starting salaries of individuals with an MBA degree are normally
distributed with a mean of $40,000 and a standard deviation of $5,000.
Refer to Exhibit 1. What percentage of MBA’s will have starting salaries of
$34,000 to $46,000?
38.49%
38.59%
50%
76.98%
A population has a mean of 300 and a standard deviation of 18. A sample
of 144 observations will be taken. The probability that the sample mean
will be between 297 to 303 is
0.4332
0.8664
0.9332
0.0668
Four hundred people were asked whether gun laws should be more
stringent. Three hundred said “yes,” and 100 said “no.” The point estimate
of the proportion in the population who will respond “no” is
75
0.25
0.75
0.50
Exhibit 2
The manager of a grocery store has taken a random sample of 100 customers.
The average length of time it took these 100 customers to check out was 3.0
minutes. It is known that the standard deviation of the population of checkout
times is one minute.
Refer to Exhibit 2. The standard error of the mean equals
0.001
0.010
0.100
1.000
Exhibit 2
The manager of a grocery store has taken a random sample of 100 customers.
The average length of time it took these 100 customers to check out was 3.0
minutes. It is known that the standard deviation of the population of checkout
times is one minute.
Refer to Exhibit 2. With a .95 probability, the sample mean will provide a
margin of error of
1.96
0.10
0.196
1.64
Exhibit 2
The manager of a grocery store has taken a random sample of 100 customers.
The average length of time it took these 100 customers to check out was 3.0
minutes. It is known that the standard deviation of the population of checkout
times is one minute.
Refer to Exhibit 2. The 95% confidence interval for the true average
checkout time (in minutes) is
3.00 to 5.00
1.35 to 4.64
1.00 to 5.00
2.804 to 3.196
Exhibit 3
The manager of grocery store has taken a random sample of 100 customers.
The average length of time it took the customers in the sample to check out
was 3.1 minutes with a standard deviation of 0.5 minutes. We want to test to
determine whether or not the mean waiting time of all customers is
significantly more than 3 minutes.
Refer to Exhibit 3. The test statistic is
1.96
1.64
2.00
0.056
Exhibit 3
The manager of grocery store has taken a random sample of 100 customers.
The average length of time it took the customers in the sample to check out
was 3.1 minutes with a standard deviation of 0.5 minutes. We want to test to
determine whether or not the mean waiting time of all customers is
significantly more than 3 minutes.
Refer to Exhibit 3. The P-value is between
.005 to .01
.01 to .025
.025 to .05
.05 to .10
Exhibit 3
The manager of grocery store has taken a random sample of 100 customers.
The average length of time it took the customers in the sample to check out
was 3.1 minutes with a standard deviation of 0.5 minutes. We want to test to
determine whether or not the mean waiting time of all customers is
significantly more than 3 minutes.
Refer to Exhibit 3. At 95% confidence, it can be concluded that the mean of
the population is
significantly greater than 3
not significantly greater than 3
significantly less than 3
significantly greater than 3.18
Refer to Exhibit 4. The 95% confidence interval for the difference between
the two population means is
−9.92 to −2.08
−3.92 to 3.92
−13.84 to 1.84
−24.228 to 12.23
Refer to Exhibit 4. The test statistic for the difference between the two
population means is
−.47
−.65
−1.5
−3
Refer to Exhibit 4. The P-value for the difference between the two
population means is
.0014
.0028
.4986
.9972
Refer to Exhibit 4. What is the conclusion that can be reached about the
difference in the average final examination scores between the two classes?
(Use a .05 level of significance.)
There is a statistically significant difference in the average final
examination scores between the two classes
There is no statistically significant difference in the average final
examination scores between the two classes
It is impossible to make a decision on the basis of the information given.
There is a difference, but it is not significant.
The sampling distribution used when making inferences about a single
population’s variance is
an F distribution
a t distribution
a chi-square distribution
a normal distribution
The sampling distribution for a goodness of fit test is the
Poisson distribution
t distribution
normal distribution
chi-square distribution
To avoid the problem of not having access to tables of the F distribution
with values given for the lower tail when a two-tailed test is required, let
the smaller sample variance be
the denominator of the test statistic
the numerator of the test statistic
at least one
None of these alternatives is correct
Exhibit 5
The following is part of an ANOVA table that was obtained from data
regarding three treatments and a total of 15 observations.
Refer to Exhibit 5. The number of degrees of freedom corresponding to
within treatments is
12
2
3
15
Exhibit 5
The following is part of an ANOVA table that was obtained from data
regarding three treatments and a total of 15 observations.
Refer to Exhibit 5. The mean square between treatments (MSTR) is
36
16
8
32
Exhibit 5
The following is part of an ANOVA table that was obtained from data
regarding three treatments and a total of 15 observations.
Refer to Exhibit 5. The computed test statistics is
32
8
0.667
4
Exhibit 5
The following is part of an ANOVA table that was obtained from data
regarding three treatments and a total of 15 observations.
Refer to Exhibit 5. The conclusion of the test is that the means
are equal
may be equal
are not equal
None of these alternatives is correct
Which of the following is not a required assumption for the analysis of
variance?
The random variable of interest for each population has a normal
probability distribution
The variance associated with the random variable must be the same for
each population
At least 2 populations are under consideration
Populations have equal means
In order to determine whether or not the means of two populations are
equal.
a t test must be performed
an analysis of variance must be performed
either a t test or an analysis of variance can be performed
a chi-square test must be performed
Refer to Exhibit 6. The slope of the regression function is
–1
1.0
11
0.0
Refer to Exhibit 6. The coefficient of determination is
0.1905
–0.1905
0.4364
–0.4364
Refer to Exhibit 6. The point estimate of Y when X = 3 is
11
14
8
0
In order to test for the significance of a regression model involving 4
independent variables and 36 observations, the numerator and
denominator degrees of freedom (respectively) for the critical value of F are
4 and 36
3 and 35
4 and 31
4 and 32
In multiple regression analysis, the correlation among the independent
variables is termed
homoscedasticity
linearity
multicollinearity
adjusted coefficient of determination
可觀看題目詳解,並提供模擬測驗!(免費會員無法觀看研究所試題解答)