PORTAGE LEARNING | INTRODUCTORY STATISTICS
MATH 110 Module 1 Exam
Questions and Answers
Introductory Statistics - Module 1
Aligned with Current Portage Learning Curriculum
Sectio
Topic Questions
n
1 Data Classification and Types Q1 - Q8
2 Data Collection and Sampling Methods Q9 - Q15
3 Measures of Central Tendency Q16 - Q20
4 Measures of Dispersion Q21 - Q25
25 Multiple Choice Questions • Detailed Rationales Included
Cognitive Distribution: 30% Recall • 50% Application • 20% Analysis
Style: 60% Calculation/Application • 40% Conceptual/Identification
, MATH 110 Module 1 Exam - Portage Learning Questions and Answers
Section 1: Data Classification and Types
Qualitative vs. Quantitative, Nominal, Ordinal, Interval, Ratio, Discrete vs. Continuous (Q1 - Q8)
Q1. A researcher records the blood type (A, B, AB, O) of each patient in a clinical database. What level of
measurement does this data represent?
A. Nominal, because blood types are labels with no inherent ordering or ranking among the categories
[CORRECT]
B. Ordinal, because blood types are categorized in order of frequency
C. Ratio, because blood types can be counted and proportions calculated
D. Interval, because blood types are equally spaced categories
Correct Answer: A
Rationale: Blood type is categorical data with labels (A, B, AB, O) that have no meaningful order or ranking—one type is
not 'higher' or 'lower' than another. This fits the NOMINAL level of measurement, where data are categorized purely by
name. Option A is wrong because ordinal requires a meaningful order (e.g., 'small/medium/large'); blood types have no such
hierarchy. Option C is wrong because ratio data require a true zero and measurable differences (e.g., height, weight). Option
D is wrong because interval data have equal intervals but no true zero (e.g., Celsius temperature); blood types have neither.
Q2. A meteorologist records daily high temperatures in degrees Celsius for the month of June. What level of
measurement is this data, and what is the key characteristic that defines it?
A. Ordinal, because temperatures can be ranked from coldest to warmest
B. Interval, because temperatures have equal intervals between values but no true zero point (0°C does not
represent 'no temperature' but rather the freezing point of water) [CORRECT]
C. Ratio, because temperature has a true zero point
D. Nominal, because temperatures are just labels
Correct Answer: B
Rationale: Celsius (and Fahrenheit) temperature is the classic INTERVAL-level example: differences between values are
meaningful and equal (the difference between 10°C and 20°C equals the difference between 20°C and 30°C), but there is no
true zero point—0°C does not represent the complete absence of temperature. Option A is wrong because ratio data require a
true zero (e.g., Kelvin temperature IS ratio because 0 K means absolute zero, the absence of thermal energy). Option B is
wrong because temperature is numerical, not just a label. Option D is wrong because while temperatures can be ranked,
ordinal data lack equal intervals between values (e.g., education levels like 'high school, college, graduate' cannot be
subtracted).
Q3. Which of the following variables is BOTH quantitative AND continuous?
A. The phone numbers of students in the class roster
B. The number of students enrolled in a statistics course (e.g., 32 students)
C. The letter grade (A, B, C, D, F) earned in the course
D. The height of each student in centimeters, which can take any value within a range and be measured to
increasing precision [CORRECT]
Correct Answer: D
Portage Learning - Introductory Statistics Page 2 of 11
MATH 110 Module 1 Exam
Questions and Answers
Introductory Statistics - Module 1
Aligned with Current Portage Learning Curriculum
Sectio
Topic Questions
n
1 Data Classification and Types Q1 - Q8
2 Data Collection and Sampling Methods Q9 - Q15
3 Measures of Central Tendency Q16 - Q20
4 Measures of Dispersion Q21 - Q25
25 Multiple Choice Questions • Detailed Rationales Included
Cognitive Distribution: 30% Recall • 50% Application • 20% Analysis
Style: 60% Calculation/Application • 40% Conceptual/Identification
, MATH 110 Module 1 Exam - Portage Learning Questions and Answers
Section 1: Data Classification and Types
Qualitative vs. Quantitative, Nominal, Ordinal, Interval, Ratio, Discrete vs. Continuous (Q1 - Q8)
Q1. A researcher records the blood type (A, B, AB, O) of each patient in a clinical database. What level of
measurement does this data represent?
A. Nominal, because blood types are labels with no inherent ordering or ranking among the categories
[CORRECT]
B. Ordinal, because blood types are categorized in order of frequency
C. Ratio, because blood types can be counted and proportions calculated
D. Interval, because blood types are equally spaced categories
Correct Answer: A
Rationale: Blood type is categorical data with labels (A, B, AB, O) that have no meaningful order or ranking—one type is
not 'higher' or 'lower' than another. This fits the NOMINAL level of measurement, where data are categorized purely by
name. Option A is wrong because ordinal requires a meaningful order (e.g., 'small/medium/large'); blood types have no such
hierarchy. Option C is wrong because ratio data require a true zero and measurable differences (e.g., height, weight). Option
D is wrong because interval data have equal intervals but no true zero (e.g., Celsius temperature); blood types have neither.
Q2. A meteorologist records daily high temperatures in degrees Celsius for the month of June. What level of
measurement is this data, and what is the key characteristic that defines it?
A. Ordinal, because temperatures can be ranked from coldest to warmest
B. Interval, because temperatures have equal intervals between values but no true zero point (0°C does not
represent 'no temperature' but rather the freezing point of water) [CORRECT]
C. Ratio, because temperature has a true zero point
D. Nominal, because temperatures are just labels
Correct Answer: B
Rationale: Celsius (and Fahrenheit) temperature is the classic INTERVAL-level example: differences between values are
meaningful and equal (the difference between 10°C and 20°C equals the difference between 20°C and 30°C), but there is no
true zero point—0°C does not represent the complete absence of temperature. Option A is wrong because ratio data require a
true zero (e.g., Kelvin temperature IS ratio because 0 K means absolute zero, the absence of thermal energy). Option B is
wrong because temperature is numerical, not just a label. Option D is wrong because while temperatures can be ranked,
ordinal data lack equal intervals between values (e.g., education levels like 'high school, college, graduate' cannot be
subtracted).
Q3. Which of the following variables is BOTH quantitative AND continuous?
A. The phone numbers of students in the class roster
B. The number of students enrolled in a statistics course (e.g., 32 students)
C. The letter grade (A, B, C, D, F) earned in the course
D. The height of each student in centimeters, which can take any value within a range and be measured to
increasing precision [CORRECT]
Correct Answer: D
Portage Learning - Introductory Statistics Page 2 of 11
