CNSL503 FINAL MODULE STATISTIC EXAM
2026/2027 TEST PRACTICE EXAM QUESTIONS
AND ANSWERS 2026
Q1. Statistics is used to prove claims with absolute certainty.
• A) True
• B) False
• C) Only in experimental research
• D) Only when sample size is large
Correct ,,,,ANSWER,,,: B) False
Rationale: Statistics does not "prove" claims with absolute certainty. It provides
evidence to support or refute hypotheses by calculating probabilities, but
conclusions are always probabilistic, not deterministic.
Q2. What are variables?
• A) Only numerical measurements in research
• B) Categories assigned to participants
• C) Measurable characteristics that can vary in value
• D) The results of hypothesis testing
Correct ,,,,ANSWER,,,: C) Measurable characteristics that can vary in value
Rationale: A variable is any characteristic or attribute that can assume different
values across individuals or over time, such as age, test scores, gender, or
satisfaction ratings.
Q3. What type of scale is used when labeling or using categories such as blood
type, college majors, or room numbers?
, • A) Ordinal
• B) Interval
• C) Ratio
• D) Nominal
Correct ,,,,ANSWER,,,: D) Nominal
Rationale: Nominal scales are used for qualitative data where values are assigned
to categories as labels with no inherent order or ranking.
Q4. Which of the following are examples of ordinal variables? (Select all that apply)
• A) Shirt sizes (Small, Medium, Large)
• B) College major
• C) Places in a marathon (1st, 2nd, 3rd)
• D) Temperature in Celsius
Correct ,,,,ANSWER,,,s: A) Shirt sizes; C) Places in a marathon
Rationale: Ordinal scales are used for variables that can be ranked or ordered, but
the intervals between ranks are not necessarily equal. Shirt sizes indicate an order,
and marathon places indicate rank.
Q5. When a variable can contain negative values, what type of scale is most
appropriate?
• A) Nominal
• B) Ordinal
• C) Interval
• D) Ratio
Correct ,,,,ANSWER,,,: C) Interval
Rationale: An interval scale is appropriate for data with negative values because
such data do not have an absolute zero, but the differences between values are
meaningful.
,Q6. When is it most appropriate to use a ratio scale?
• A) When a variable has an absolute zero
• B) When a variable is categorical
• C) When a variable has no zero point
• D) When a variable can be ranked
Correct ,,,,ANSWER,,,: A) When a variable has an absolute zero
Rationale: Ratio scales are used for quantitative data with a true, meaningful zero
point, allowing calculations of ratios. Examples include height, weight, and exam
scores.
Q7. True or false: it is generally feasible to collect data from every member of a
population.
• A) True
• B) False
Correct ,,,,ANSWER,,,: B) False
Rationale: Unless the target population is very small, it is usually not practical or
sensible to attempt to reach every member. Instead, researchers use samples to
represent the population.
Q8. Provide an example of a quantitative variable and a qualitative variable.
• A) Quantitative: heart rate; Qualitative: blood type
• B) Quantitative: eye color; Qualitative: weight
• C) Quantitative: college major; Qualitative: test score
• D) Quantitative: blood type; Qualitative: height
Correct ,,,,ANSWER,,,: A) Quantitative: heart rate; Qualitative: blood type
Rationale: Quantitative variables are measured in numerical terms (e.g., heart rate,
test scores). Qualitative (categorical) variables are measured in non-numerical
terms using categories or labels (e.g., blood type, eye color).
, Q9. How are sample and population related?
• A) A sample is a subset of a population used to represent the whole
• B) A population is a subset of a sample
• C) They are unrelated
• D) A sample always includes the entire population
Correct ,,,,ANSWER,,,: A) A sample is a subset of a population used to represent
the whole
Rationale: A population includes every member of a particular group, whereas a
sample is a smaller subset drawn from that population. Since reaching an entire
population is often impractical, researchers use samples to infer population
characteristics.
Q10. True or false: statistics are used to communicate results but can be used to
mislead individuals.
• A) True
• B) False
Correct ,,,,ANSWER,,,: A) True
Rationale: While statistics are powerful tools for describing data and drawing
conclusions, they can be misused or misinterpreted, leading to misleading
conclusions. Critical evaluation of statistical claims is essential.
📊 Descriptive Statistics (Questions 11–35)
Q11. What is the primary purpose of descriptive statistics?
• A) To test hypotheses
• B) To summarize and organize data so it can be easily understood
2026/2027 TEST PRACTICE EXAM QUESTIONS
AND ANSWERS 2026
Q1. Statistics is used to prove claims with absolute certainty.
• A) True
• B) False
• C) Only in experimental research
• D) Only when sample size is large
Correct ,,,,ANSWER,,,: B) False
Rationale: Statistics does not "prove" claims with absolute certainty. It provides
evidence to support or refute hypotheses by calculating probabilities, but
conclusions are always probabilistic, not deterministic.
Q2. What are variables?
• A) Only numerical measurements in research
• B) Categories assigned to participants
• C) Measurable characteristics that can vary in value
• D) The results of hypothesis testing
Correct ,,,,ANSWER,,,: C) Measurable characteristics that can vary in value
Rationale: A variable is any characteristic or attribute that can assume different
values across individuals or over time, such as age, test scores, gender, or
satisfaction ratings.
Q3. What type of scale is used when labeling or using categories such as blood
type, college majors, or room numbers?
, • A) Ordinal
• B) Interval
• C) Ratio
• D) Nominal
Correct ,,,,ANSWER,,,: D) Nominal
Rationale: Nominal scales are used for qualitative data where values are assigned
to categories as labels with no inherent order or ranking.
Q4. Which of the following are examples of ordinal variables? (Select all that apply)
• A) Shirt sizes (Small, Medium, Large)
• B) College major
• C) Places in a marathon (1st, 2nd, 3rd)
• D) Temperature in Celsius
Correct ,,,,ANSWER,,,s: A) Shirt sizes; C) Places in a marathon
Rationale: Ordinal scales are used for variables that can be ranked or ordered, but
the intervals between ranks are not necessarily equal. Shirt sizes indicate an order,
and marathon places indicate rank.
Q5. When a variable can contain negative values, what type of scale is most
appropriate?
• A) Nominal
• B) Ordinal
• C) Interval
• D) Ratio
Correct ,,,,ANSWER,,,: C) Interval
Rationale: An interval scale is appropriate for data with negative values because
such data do not have an absolute zero, but the differences between values are
meaningful.
,Q6. When is it most appropriate to use a ratio scale?
• A) When a variable has an absolute zero
• B) When a variable is categorical
• C) When a variable has no zero point
• D) When a variable can be ranked
Correct ,,,,ANSWER,,,: A) When a variable has an absolute zero
Rationale: Ratio scales are used for quantitative data with a true, meaningful zero
point, allowing calculations of ratios. Examples include height, weight, and exam
scores.
Q7. True or false: it is generally feasible to collect data from every member of a
population.
• A) True
• B) False
Correct ,,,,ANSWER,,,: B) False
Rationale: Unless the target population is very small, it is usually not practical or
sensible to attempt to reach every member. Instead, researchers use samples to
represent the population.
Q8. Provide an example of a quantitative variable and a qualitative variable.
• A) Quantitative: heart rate; Qualitative: blood type
• B) Quantitative: eye color; Qualitative: weight
• C) Quantitative: college major; Qualitative: test score
• D) Quantitative: blood type; Qualitative: height
Correct ,,,,ANSWER,,,: A) Quantitative: heart rate; Qualitative: blood type
Rationale: Quantitative variables are measured in numerical terms (e.g., heart rate,
test scores). Qualitative (categorical) variables are measured in non-numerical
terms using categories or labels (e.g., blood type, eye color).
, Q9. How are sample and population related?
• A) A sample is a subset of a population used to represent the whole
• B) A population is a subset of a sample
• C) They are unrelated
• D) A sample always includes the entire population
Correct ,,,,ANSWER,,,: A) A sample is a subset of a population used to represent
the whole
Rationale: A population includes every member of a particular group, whereas a
sample is a smaller subset drawn from that population. Since reaching an entire
population is often impractical, researchers use samples to infer population
characteristics.
Q10. True or false: statistics are used to communicate results but can be used to
mislead individuals.
• A) True
• B) False
Correct ,,,,ANSWER,,,: A) True
Rationale: While statistics are powerful tools for describing data and drawing
conclusions, they can be misused or misinterpreted, leading to misleading
conclusions. Critical evaluation of statistical claims is essential.
📊 Descriptive Statistics (Questions 11–35)
Q11. What is the primary purpose of descriptive statistics?
• A) To test hypotheses
• B) To summarize and organize data so it can be easily understood
