Question 1

Which of the following best describes a population in the context of statistics?

Accepted Answer

The entire set of individuals or items of interest in a study.

Question 2

A researcher collects the heights (in centimeters) of all students in a university. The mean height calculated from this data is an example of:

Accepted Answer

A population parameter

Question 3

Which of the following is NOT an example of quantitative data?

Accepted Answer

The brands of smartphones owned by students

Question 4

A survey finds that 52% of all registered voters in a country support a particular policy. Is this value a parameter or a statistic?

Accepted Answer

Parameter

Question 5

Which of the following is a discrete quantitative variable?

Accepted Answer

The number of goals scored by a soccer team in a match

Question 6

A company wants to determine if a new training program increases employee productivity. They randomly assign half of the employees to receive the training and compare their productivity to those who did not receive it. What type of study is this?

Accepted Answer

Experiment

Question 7

Which statement about observational studies is TRUE?

Accepted Answer

They only measure characteristics without changing anything.

Question 8

A store manager surveys every customer who enters the store on a particular day to ask about their shopping experience. Is this a representative sample?

Accepted Answer

No, because it may not represent customers on other days.

Question 9

Which of the following is an example of a simple random sample?

Accepted Answer

Drawing 10 names from a hat containing all students' names.

Question 10

A university wants to survey students about campus safety. They select 60 students, with two from each grade and equal numbers from each major. Is this a simple random sample?

Accepted Answer

No, because selection is based on grade and major.

Question 11

Which of the following best describes a representative sample?

Accepted Answer

A sample that has the same proportion of characteristics as the population.

Question 12

A software company wants to test if their new app leads to weight loss. They randomly assign users to use the app and compare their weight before and after. What type of study is this?

Accepted Answer

Experiment

Question 13

Which of the following is an example of continuous quantitative data?

Accepted Answer

The time (in minutes) it takes to commute to work

Question 14

A college professor wants to select a simple random sample of 5 students from a class of 20. Which process would achieve this?

Accepted Answer

Assign each student a number from 1 to 20 and randomly draw 5 numbers.

Question 15

Which of the following statements about experiments is correct?

Accepted Answer

Experiments can establish causation between variables.

Question 16

A survey of 40 gym members finds an average workout duration of 52 minutes. Is this value a parameter or a statistic?

Accepted Answer

Statistic

Question 17

Which of the following is an example of qualitative data?

Accepted Answer

The favorite color of each student in a class

Question 18

A regional manager wants to know if extending store hours increases sales. They randomly select half the stores to stay open later and compare sales. Can they conclude causation?

Accepted Answer

Yes, because they used an experiment.

Question 19

Which of the following is NOT a characteristic of a simple random sample?

Accepted Answer

Selection is based on specific characteristics such as age or grade.

Introduction to Statistics: Populations, Samples, and Data Types

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