11/6/24, 11:37 AM QMB 3200 MIDTERM EXAM ACTUAL EXAM 2 VERSIONS (VERSION A AND B) COMPLETE ACTUAL EXAM QUESTIONS WIT…
QMB 3200 MIDTERM EXAM ACTUAL EXAM 2
VERSIONS (VERSION A AND B) COMPLETE
ACTUAL EXAM QUESTIONS WITH DETAILED
VERIFIED ANSWERS (100% CORRECT ANSWERS)
/ALREADY GRADED A+
Terms in this set (106)
In computing the standard b. n/N ≤ 0.05
error of the mean, the
finite population
correction factor is not
used when:
a. n ≥ 30
b. n/N ≤ 0.05
c. N/n ≤ 0.05
d. n/N > 0.05
A sample statistic, such as b. point estimator
x bar , that estimates the
value of the
corresponding population
parameter is known as a:
a. population parameter
b. point estimator
c. Both a parameter and a
population parameter are
correct.
d. parameter
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,11/6/24, 11:37 AM QMB 3200 MIDTERM EXAM ACTUAL EXAM 2 VERSIONS (VERSION A AND B) COMPLETE ACTUAL EXAM QUESTIONS WIT…
The standard deviation of a. standard error of the mean
xbar is referred to as the
a. standard error of the
mean
b. standard x
c. sample standard mean
d. sample mean deviation
Which of the following c. s
is(are) point estimator(s)?
a. σ
b. μ
c. s
d. All of these answers are
correct.
A probability distribution c. sampling distribution
for all possible values of a
sample statistic is known
as a
a. parameter
b. sample statistic
c. sampling distribution
d. simple random sample
A population has a mean b. 0.1359
of 180 and a standard 1. st. error: 24/sqrt(64) = 3
deviation of 24. A sample 2. z value (upper): (186-180)/3 = 2
of 64 observations will be 3. Norm.s.dist(1, true) = .9772
taken. The probability that 4. z value (lower): (183-180)/3= 1
the mean from that 5.Norm.s.dist(-1,true)= .8413
sample will be between 6. 0.9772-.8413=0.1359
183 and 186 is
a. 0.8185
b. 0.1359
c. 0.4772
d. 0.3413
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, 11/6/24, 11:37 AM QMB 3200 MIDTERM EXAM ACTUAL EXAM 2 VERSIONS (VERSION A AND B) COMPLETE ACTUAL EXAM QUESTIONS WIT…
The basis for using a b. the central limit theorem
normal probability
distribution to
approximate the sampling
distribution of xbar and
pbar is:
a. the empirical rule
b. the central limit theorem
c. Chebyshev's theorem
d. Bayes' theorem
A finite population c. whenever the sample size is more than 5% of the
correction factor is population size
needed in computing the
standard deviation of the
sampling distribution of
sample means:
a. whenever the sample
size is less than 5% of the
population size
b. whenever the
population is infinite
c. whenever the sample
size is more than 5% of the
population size
d. The correction factor is
not necessary if the
population has a normal
distribution
https://quizlet.com/967519016/qmb-3200-midterm-exam-actual-exam-2-versions-version-a-and-b-complete-actual-exam-questions-with-detailed-verifi… 3/29
QMB 3200 MIDTERM EXAM ACTUAL EXAM 2
VERSIONS (VERSION A AND B) COMPLETE
ACTUAL EXAM QUESTIONS WITH DETAILED
VERIFIED ANSWERS (100% CORRECT ANSWERS)
/ALREADY GRADED A+
Terms in this set (106)
In computing the standard b. n/N ≤ 0.05
error of the mean, the
finite population
correction factor is not
used when:
a. n ≥ 30
b. n/N ≤ 0.05
c. N/n ≤ 0.05
d. n/N > 0.05
A sample statistic, such as b. point estimator
x bar , that estimates the
value of the
corresponding population
parameter is known as a:
a. population parameter
b. point estimator
c. Both a parameter and a
population parameter are
correct.
d. parameter
https://quizlet.com/967519016/qmb-3200-midterm-exam-actual-exam-2-versions-version-a-and-b-complete-actual-exam-questions-with-detailed-verifi… 1/29
,11/6/24, 11:37 AM QMB 3200 MIDTERM EXAM ACTUAL EXAM 2 VERSIONS (VERSION A AND B) COMPLETE ACTUAL EXAM QUESTIONS WIT…
The standard deviation of a. standard error of the mean
xbar is referred to as the
a. standard error of the
mean
b. standard x
c. sample standard mean
d. sample mean deviation
Which of the following c. s
is(are) point estimator(s)?
a. σ
b. μ
c. s
d. All of these answers are
correct.
A probability distribution c. sampling distribution
for all possible values of a
sample statistic is known
as a
a. parameter
b. sample statistic
c. sampling distribution
d. simple random sample
A population has a mean b. 0.1359
of 180 and a standard 1. st. error: 24/sqrt(64) = 3
deviation of 24. A sample 2. z value (upper): (186-180)/3 = 2
of 64 observations will be 3. Norm.s.dist(1, true) = .9772
taken. The probability that 4. z value (lower): (183-180)/3= 1
the mean from that 5.Norm.s.dist(-1,true)= .8413
sample will be between 6. 0.9772-.8413=0.1359
183 and 186 is
a. 0.8185
b. 0.1359
c. 0.4772
d. 0.3413
https://quizlet.com/967519016/qmb-3200-midterm-exam-actual-exam-2-versions-version-a-and-b-complete-actual-exam-questions-with-detailed-verifi… 2/29
, 11/6/24, 11:37 AM QMB 3200 MIDTERM EXAM ACTUAL EXAM 2 VERSIONS (VERSION A AND B) COMPLETE ACTUAL EXAM QUESTIONS WIT…
The basis for using a b. the central limit theorem
normal probability
distribution to
approximate the sampling
distribution of xbar and
pbar is:
a. the empirical rule
b. the central limit theorem
c. Chebyshev's theorem
d. Bayes' theorem
A finite population c. whenever the sample size is more than 5% of the
correction factor is population size
needed in computing the
standard deviation of the
sampling distribution of
sample means:
a. whenever the sample
size is less than 5% of the
population size
b. whenever the
population is infinite
c. whenever the sample
size is more than 5% of the
population size
d. The correction factor is
not necessary if the
population has a normal
distribution
https://quizlet.com/967519016/qmb-3200-midterm-exam-actual-exam-2-versions-version-a-and-b-complete-actual-exam-questions-with-detailed-verifi… 3/29
