MATH 110 INTRODUCTION TO STATISTICS MODULE 1 EXAM COMPLETE PRACTICE
TEST BANK
QUESTIONS AND ANSWERS | VERIFIED SOLUTIONS | UPDATED 2026/2027 STUDY
GUIDE
Examiner/Administrator: Portage Learning
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MATH 110 INTRODUCTION TO STATISTICS – MODULE 1 PRACTICE EXAM
2026/2027 EDITION
━━━━━━━━━━━━━━━━━━━━━━━━━━━━
COMPLETE PRACTICE EXAM
30 MULTIPLE-CHOICE QUESTIONS
EXACT OFFICIAL COUNT: 30 QUESTIONS
PASSING SCORE: 70%
TESTING TIME: 90 MINUTES
PORTAGE LEARNING || ALIGNED WITH CURRENT INTRODUCTION TO STATISTICS
CURRICULUM BLUEPRINTS || DESCRIPTIVE STATISTICS & DATA ANALYSIS ||
PROFESSIONAL STUDY GUIDE || 100% VERIFIED & GRADED A+ || COMPREHENSIVE
EXAM PREPARATION || PREPARED FOR ONLINE COURSE ASSESSMENTS & ACADEMIC
EXAMINATION USE || UPDATED PRACTICE MATERIAL FOR 2026/2027 EXAM
PREPARATION
━━━━━━━━━━━━━━━━━━━━━━━━━━━━
ACADEMIC FOUNDATION & STATISTICAL TERMINOLOGY
QUESTIONS 1–10
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Q1. A researcher collects the heights of every student enrolled in a specific online
statistics course during the Spring semester. Which classification best describes the
data collection?
A. Sample and inferential study
B. Population and descriptive study
C. Experimental sample
D. Observational sample only
,Correct Answer: 🔴 B. Population and descriptive study
Explanation: 🔹 Because the researcher collected data from every student enrolled in the
course, the entire population was measured rather than a subset. Descriptive statistics
summarize and organize data collected from the population without making broader
predictions. Option A is incorrect because inferential statistics involve drawing
conclusions from a sample. Options C and D are inaccurate because no experiment or
subset sampling occurred.
Q2. A statistician wants to determine whether average daily screen time affects student
GPA. Which variable is considered the explanatory variable?
A. GPA
B. Grade distribution
C. Daily screen time
D. Number of participants
Correct Answer: 🔴 C. Daily screen time
Explanation: 🔹 The explanatory variable is the factor believed to influence another
variable. In this scenario, daily screen time is expected to affect GPA, making it the
explanatory variable. GPA becomes the response variable because it may change
depending on screen time. The remaining options are unrelated to explanatory-response
relationships.
Q3. A hospital administrator surveys 250 nurses selected randomly from 4,000 nurses
employed statewide. Which statement is most accurate?
A. The 250 nurses represent the population
B. The 4,000 nurses represent the sample
C. The survey demonstrates a census
D. The 250 nurses represent a sample
Correct Answer: 🔴 D. The 250 nurses represent a sample
Explanation: 🔹 A sample is a subset selected from a larger population. Here, the 250
surveyed nurses are part of the broader statewide nurse population of 4,000 individuals.
A census would require data collection from all 4,000 nurses. Therefore, options A, B, and
C are incorrect.
,Q4. Which scenario best illustrates qualitative data?
A. Monthly utility bills measured in dollars
B. Number of books read annually
C. Blood pressure measurements
D. Student major classifications
Correct Answer: 🔴 D. Student major classifications
Explanation: 🔹 Qualitative data categorize observations into descriptive groups rather
than numerical measurements. Student majors such as biology, nursing, or engineering
are categories. The other options represent quantitative numerical measurements.
Q5. A political polling organization contacts only landline telephone users when
estimating election outcomes. Which issue most likely threatens validity?
A. Randomization error
B. Sampling bias
C. Measurement precision
D. Experimental control
Correct Answer: 🔴 B. Sampling bias
Explanation: 🔹 Sampling bias occurs when certain groups are systematically excluded
from participation. Surveying only landline users may exclude younger populations who
primarily use mobile phones, creating unrepresentative results. Randomization alone
cannot correct a flawed sampling frame.
Q6. Which statement accurately distinguishes a parameter from a statistic?
A. Parameters describe samples while statistics describe populations
B. Statistics never change
C. Parameters describe populations while statistics describe samples
D. Parameters are always percentages
Correct Answer: 🔴 C. Parameters describe populations while statistics describe
samples
Explanation: 🔹 A parameter is a numerical characteristic of an entire population, while
a statistic summarizes information from a sample. Since samples vary, statistics may
, change from one sample to another. Options A, B, and D incorrectly define statistical
terminology.
Q7. A professor records the number of absences for students during a semester. What
type of quantitative data is represented?
A. Continuous
B. Nominal
C. Discrete
D. Ordinal
Correct Answer: 🔴 C. Discrete
Explanation: 🔹 Discrete data consist of countable whole-number values. Absences
cannot reasonably include fractional values such as 2.5 absences. Continuous data
involve measurements capable of infinite subdivisions, such as weight or temperature.
Q8. Which method best improves the reliability of a statistical study?
A. Increasing emotional survey language
B. Selecting only favorable participants
C. Using larger random samples
D. Eliminating all variability
Correct Answer: 🔴 C. Using larger random samples
Explanation: 🔹 Larger random samples tend to reduce sampling variability and improve
representativeness. Emotional wording and selective participation introduce bias, while
eliminating all variability is impossible and unrealistic in real-world research.
Q9. A company analyzes employee satisfaction by categorizing responses as
“satisfied,” “neutral,” or “unsatisfied.” What scale of measurement is being used?
A. Ratio
B. Interval
C. Nominal
D. Ordinal
Correct Answer: 🔴 D. Ordinal
TEST BANK
QUESTIONS AND ANSWERS | VERIFIED SOLUTIONS | UPDATED 2026/2027 STUDY
GUIDE
Examiner/Administrator: Portage Learning
━━━━━━━━━━━━━━━━━━━━━━━━━━━━
MATH 110 INTRODUCTION TO STATISTICS – MODULE 1 PRACTICE EXAM
2026/2027 EDITION
━━━━━━━━━━━━━━━━━━━━━━━━━━━━
COMPLETE PRACTICE EXAM
30 MULTIPLE-CHOICE QUESTIONS
EXACT OFFICIAL COUNT: 30 QUESTIONS
PASSING SCORE: 70%
TESTING TIME: 90 MINUTES
PORTAGE LEARNING || ALIGNED WITH CURRENT INTRODUCTION TO STATISTICS
CURRICULUM BLUEPRINTS || DESCRIPTIVE STATISTICS & DATA ANALYSIS ||
PROFESSIONAL STUDY GUIDE || 100% VERIFIED & GRADED A+ || COMPREHENSIVE
EXAM PREPARATION || PREPARED FOR ONLINE COURSE ASSESSMENTS & ACADEMIC
EXAMINATION USE || UPDATED PRACTICE MATERIAL FOR 2026/2027 EXAM
PREPARATION
━━━━━━━━━━━━━━━━━━━━━━━━━━━━
ACADEMIC FOUNDATION & STATISTICAL TERMINOLOGY
QUESTIONS 1–10
━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Q1. A researcher collects the heights of every student enrolled in a specific online
statistics course during the Spring semester. Which classification best describes the
data collection?
A. Sample and inferential study
B. Population and descriptive study
C. Experimental sample
D. Observational sample only
,Correct Answer: 🔴 B. Population and descriptive study
Explanation: 🔹 Because the researcher collected data from every student enrolled in the
course, the entire population was measured rather than a subset. Descriptive statistics
summarize and organize data collected from the population without making broader
predictions. Option A is incorrect because inferential statistics involve drawing
conclusions from a sample. Options C and D are inaccurate because no experiment or
subset sampling occurred.
Q2. A statistician wants to determine whether average daily screen time affects student
GPA. Which variable is considered the explanatory variable?
A. GPA
B. Grade distribution
C. Daily screen time
D. Number of participants
Correct Answer: 🔴 C. Daily screen time
Explanation: 🔹 The explanatory variable is the factor believed to influence another
variable. In this scenario, daily screen time is expected to affect GPA, making it the
explanatory variable. GPA becomes the response variable because it may change
depending on screen time. The remaining options are unrelated to explanatory-response
relationships.
Q3. A hospital administrator surveys 250 nurses selected randomly from 4,000 nurses
employed statewide. Which statement is most accurate?
A. The 250 nurses represent the population
B. The 4,000 nurses represent the sample
C. The survey demonstrates a census
D. The 250 nurses represent a sample
Correct Answer: 🔴 D. The 250 nurses represent a sample
Explanation: 🔹 A sample is a subset selected from a larger population. Here, the 250
surveyed nurses are part of the broader statewide nurse population of 4,000 individuals.
A census would require data collection from all 4,000 nurses. Therefore, options A, B, and
C are incorrect.
,Q4. Which scenario best illustrates qualitative data?
A. Monthly utility bills measured in dollars
B. Number of books read annually
C. Blood pressure measurements
D. Student major classifications
Correct Answer: 🔴 D. Student major classifications
Explanation: 🔹 Qualitative data categorize observations into descriptive groups rather
than numerical measurements. Student majors such as biology, nursing, or engineering
are categories. The other options represent quantitative numerical measurements.
Q5. A political polling organization contacts only landline telephone users when
estimating election outcomes. Which issue most likely threatens validity?
A. Randomization error
B. Sampling bias
C. Measurement precision
D. Experimental control
Correct Answer: 🔴 B. Sampling bias
Explanation: 🔹 Sampling bias occurs when certain groups are systematically excluded
from participation. Surveying only landline users may exclude younger populations who
primarily use mobile phones, creating unrepresentative results. Randomization alone
cannot correct a flawed sampling frame.
Q6. Which statement accurately distinguishes a parameter from a statistic?
A. Parameters describe samples while statistics describe populations
B. Statistics never change
C. Parameters describe populations while statistics describe samples
D. Parameters are always percentages
Correct Answer: 🔴 C. Parameters describe populations while statistics describe
samples
Explanation: 🔹 A parameter is a numerical characteristic of an entire population, while
a statistic summarizes information from a sample. Since samples vary, statistics may
, change from one sample to another. Options A, B, and D incorrectly define statistical
terminology.
Q7. A professor records the number of absences for students during a semester. What
type of quantitative data is represented?
A. Continuous
B. Nominal
C. Discrete
D. Ordinal
Correct Answer: 🔴 C. Discrete
Explanation: 🔹 Discrete data consist of countable whole-number values. Absences
cannot reasonably include fractional values such as 2.5 absences. Continuous data
involve measurements capable of infinite subdivisions, such as weight or temperature.
Q8. Which method best improves the reliability of a statistical study?
A. Increasing emotional survey language
B. Selecting only favorable participants
C. Using larger random samples
D. Eliminating all variability
Correct Answer: 🔴 C. Using larger random samples
Explanation: 🔹 Larger random samples tend to reduce sampling variability and improve
representativeness. Emotional wording and selective participation introduce bias, while
eliminating all variability is impossible and unrealistic in real-world research.
Q9. A company analyzes employee satisfaction by categorizing responses as
“satisfied,” “neutral,” or “unsatisfied.” What scale of measurement is being used?
A. Ratio
B. Interval
C. Nominal
D. Ordinal
Correct Answer: 🔴 D. Ordinal
