QMB 3200 MIDTERM UCF PRACTICE
EXAM 1 QUESTIONS AND CORRECT
ANSWERS (VERIFIED ANSWERS) PLUS
RATIONALES 2025
1. A population consists of 5,000 observations. A sample of 100
observations is taken to estimate the population mean. What is this
sample called?
a) Parameter
b) Statistic
c) Census
d) Population
Answer: b) Statistic
A statistic is a numerical value calculated from a sample, used to
estimate a population parameter.
,2. Which of the following is an example of qualitative data?
a) Number of employees
b) Employee ID numbers
c) Marital status
d) Salary levels
Answer: c) Marital status
Marital status describes a category or label, not a measurable
number, so it is qualitative (categorical) data.
3. The variance is best described as:
a) The square root of the standard deviation
b) The average of the deviations
c) The average of the squared deviations
d) The sum of the deviations
Answer: c) The average of the squared deviations
Variance measures how far each data point is from the mean by
averaging the squared differences.
4. The standard deviation of a sampling distribution is known as:
a) Mean
b) Margin of error
c) Standard error
d) Confidence interval
, Answer: c) Standard error
The standard error represents the standard deviation of a sampling
distribution, showing how much a sample statistic varies from
sample to sample.
5. The empirical rule applies when the data distribution is:
a) Skewed left
b) Skewed right
c) Uniform
d) Normal
Answer: d) Normal
The empirical rule describes how data are distributed in a normal
distribution.
6. If P(A) = 0.3 and P(B) = 0.4 and A and B are independent, what is P(A
and B)?
a) 0.12
b) 0.70
c) 0.10
d) 0.00
Answer: a) 0.12
For independent events, P(A and B) = P(A) × P(B).
, 7. Which sampling method gives every member of the population an
equal chance of being selected?
a) Stratified sampling
b) Cluster sampling
c) Convenience sampling
d) Simple random sampling
Answer: d) Simple random sampling
Simple random sampling ensures each element has an equal chance
of being included.
8. When the null hypothesis is true, but we reject it, what type of error
have we made?
a) Type I error
b) Type II error
c) Sampling error
d) Measurement error
Answer: a) Type I error
A Type I error occurs when you incorrectly reject a true null
hypothesis.
EXAM 1 QUESTIONS AND CORRECT
ANSWERS (VERIFIED ANSWERS) PLUS
RATIONALES 2025
1. A population consists of 5,000 observations. A sample of 100
observations is taken to estimate the population mean. What is this
sample called?
a) Parameter
b) Statistic
c) Census
d) Population
Answer: b) Statistic
A statistic is a numerical value calculated from a sample, used to
estimate a population parameter.
,2. Which of the following is an example of qualitative data?
a) Number of employees
b) Employee ID numbers
c) Marital status
d) Salary levels
Answer: c) Marital status
Marital status describes a category or label, not a measurable
number, so it is qualitative (categorical) data.
3. The variance is best described as:
a) The square root of the standard deviation
b) The average of the deviations
c) The average of the squared deviations
d) The sum of the deviations
Answer: c) The average of the squared deviations
Variance measures how far each data point is from the mean by
averaging the squared differences.
4. The standard deviation of a sampling distribution is known as:
a) Mean
b) Margin of error
c) Standard error
d) Confidence interval
, Answer: c) Standard error
The standard error represents the standard deviation of a sampling
distribution, showing how much a sample statistic varies from
sample to sample.
5. The empirical rule applies when the data distribution is:
a) Skewed left
b) Skewed right
c) Uniform
d) Normal
Answer: d) Normal
The empirical rule describes how data are distributed in a normal
distribution.
6. If P(A) = 0.3 and P(B) = 0.4 and A and B are independent, what is P(A
and B)?
a) 0.12
b) 0.70
c) 0.10
d) 0.00
Answer: a) 0.12
For independent events, P(A and B) = P(A) × P(B).
, 7. Which sampling method gives every member of the population an
equal chance of being selected?
a) Stratified sampling
b) Cluster sampling
c) Convenience sampling
d) Simple random sampling
Answer: d) Simple random sampling
Simple random sampling ensures each element has an equal chance
of being included.
8. When the null hypothesis is true, but we reject it, what type of error
have we made?
a) Type I error
b) Type II error
c) Sampling error
d) Measurement error
Answer: a) Type I error
A Type I error occurs when you incorrectly reject a true null
hypothesis.
