MATH 110 Introduction to Statistics – Portage Learning
Modules 1–10 | 200 Practice Questions & Detailed
Answers | Complete Exam Review | A+ Guide
1. What is an observation in statistics?
A) A summary of the data
B) All the information collected for each element in a study
C) A measurable attribute of a population
D) The average of a dataset
Answer: B) An observation is all the information collected for each element in a study.
2. What is an element in a data set?
A) The average value of the data
B) The individual and unique entry in a data set about which data has been collected
C) The range of the data
D) The total number of observations
Answer: B) An element is the individual and unique entry in a data set about which data has been
collected, analyzed, and presented in the same manner.
3. What is a variable in statistics?
A) A fixed number
B) A particular, measurable attribute that the researcher believes is needed to describe the element in
their study
,C) The sample size
D) The population mean
Answer: B) A variable is a particular, measurable attribute that the researcher believes is needed to
describe the element in their study.
4. What is the difference between a population and a sample?
A) A population is a subset of a sample
B) A sample is a subset of a population
C) They are the same thing
D) A population is always larger than a sample
Answer: B) A sample is a subset of a population. A population includes all elements of interest, while a
sample is a portion of the population.
5. What is the difference between a parameter and a statistic?
A) A parameter describes a sample; a statistic describes a population
B) A parameter describes a population; a statistic describes a sample
C) They are interchangeable terms
D) A parameter is always larger than a statistic
Answer: B) A parameter is a numerical measure that describes a population, while a statistic is a
numerical measure that describes a sample.
,6. Which of the following is an example of descriptive statistics?
A) Estimating the population mean from a sample
B) Calculating the mean and standard deviation of a dataset
C) Testing a hypothesis about a population
D) Predicting future outcomes
Answer: B) Descriptive statistics involves summarizing and organizing data, such as calculating the mean
and standard deviation.
7. Which of the following is an example of inferential statistics?
A) Creating a histogram
B) Calculating the median
C) Using a sample to estimate a population parameter
D) Finding the mode
Answer: C) Inferential statistics uses sample data to make inferences about a population.
8. What is statistical inference?
A) The process of collecting data
B) The process of drawing conclusions about a population based on sample data
C) The process of organizing data into tables
D) The process of calculating descriptive measures
Answer: B) Statistical inference is the process of drawing conclusions about a population based on
sample data.
, 9. A researcher collects data on the heights of all students in a school. What is this collection of data
called?
A) A sample
B) A statistic
C) A population
D) A variable
Answer: C) Since the data includes all students in the school, it is a population.
10. A researcher collects data on the heights of 50 randomly selected students from a school. What is
this collection of data called?
A) A population
B) A sample
C) A parameter
D) A variable
Answer: B) The data is collected from a subset of the population, so it is a sample.
11. Which of the following is a qualitative variable?
A) Height in inches
B) Weight in pounds
C) Eye color
Modules 1–10 | 200 Practice Questions & Detailed
Answers | Complete Exam Review | A+ Guide
1. What is an observation in statistics?
A) A summary of the data
B) All the information collected for each element in a study
C) A measurable attribute of a population
D) The average of a dataset
Answer: B) An observation is all the information collected for each element in a study.
2. What is an element in a data set?
A) The average value of the data
B) The individual and unique entry in a data set about which data has been collected
C) The range of the data
D) The total number of observations
Answer: B) An element is the individual and unique entry in a data set about which data has been
collected, analyzed, and presented in the same manner.
3. What is a variable in statistics?
A) A fixed number
B) A particular, measurable attribute that the researcher believes is needed to describe the element in
their study
,C) The sample size
D) The population mean
Answer: B) A variable is a particular, measurable attribute that the researcher believes is needed to
describe the element in their study.
4. What is the difference between a population and a sample?
A) A population is a subset of a sample
B) A sample is a subset of a population
C) They are the same thing
D) A population is always larger than a sample
Answer: B) A sample is a subset of a population. A population includes all elements of interest, while a
sample is a portion of the population.
5. What is the difference between a parameter and a statistic?
A) A parameter describes a sample; a statistic describes a population
B) A parameter describes a population; a statistic describes a sample
C) They are interchangeable terms
D) A parameter is always larger than a statistic
Answer: B) A parameter is a numerical measure that describes a population, while a statistic is a
numerical measure that describes a sample.
,6. Which of the following is an example of descriptive statistics?
A) Estimating the population mean from a sample
B) Calculating the mean and standard deviation of a dataset
C) Testing a hypothesis about a population
D) Predicting future outcomes
Answer: B) Descriptive statistics involves summarizing and organizing data, such as calculating the mean
and standard deviation.
7. Which of the following is an example of inferential statistics?
A) Creating a histogram
B) Calculating the median
C) Using a sample to estimate a population parameter
D) Finding the mode
Answer: C) Inferential statistics uses sample data to make inferences about a population.
8. What is statistical inference?
A) The process of collecting data
B) The process of drawing conclusions about a population based on sample data
C) The process of organizing data into tables
D) The process of calculating descriptive measures
Answer: B) Statistical inference is the process of drawing conclusions about a population based on
sample data.
, 9. A researcher collects data on the heights of all students in a school. What is this collection of data
called?
A) A sample
B) A statistic
C) A population
D) A variable
Answer: C) Since the data includes all students in the school, it is a population.
10. A researcher collects data on the heights of 50 randomly selected students from a school. What is
this collection of data called?
A) A population
B) A sample
C) A parameter
D) A variable
Answer: B) The data is collected from a subset of the population, so it is a sample.
11. Which of the following is a qualitative variable?
A) Height in inches
B) Weight in pounds
C) Eye color
