Question 1

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

Accepted Answer

All individuals or items of interest in a study.

Question 2

A researcher wants to know the average height of all students at a university. She measures the height of 200 randomly selected students. What is the sample in this scenario?

Accepted Answer

The 200 students measured.

Question 3

Which of the following is an example of a quantitative variable?

Accepted Answer

Number of books read in a year.

Question 4

What is the main difference between an observational study and an experiment?

Accepted Answer

An experiment involves manipulation of variables, while an observational study does not.

Question 5

Which sampling method divides the population into subgroups and then randomly samples from each subgroup?

Accepted Answer

Stratified sampling

Question 6

A survey asks students if they agree that 'Global Warming' is a phenomenon that is occurring. What is the population of interest?

Accepted Answer

All students at the institution.

Question 7

Which of the following is an example of a nominal level of measurement?

Accepted Answer

Political party affiliation

Question 8

A researcher divides a city into 10 districts, randomly selects 3 districts, and surveys all residents in those districts. What sampling method is used?

Accepted Answer

Cluster sampling

Question 9

Which of the following statements about statistical significance is correct?

Accepted Answer

Statistical significance means the results are unlikely to occur by chance.

Question 10

A study finds a strong correlation between ice cream sales and drowning incidents. What is the best conclusion?

Accepted Answer

There may be a lurking variable, such as hot weather, influencing both.

Question 11

Which of the following is a potential source of bias in survey data?

Accepted Answer

Allowing voluntary response

Question 12

A variable that can be counted and has a finite number of possible values is called:

Accepted Answer

Discrete quantitative variable

Question 13

Which experimental design involves randomly assigning subjects into treatment groups and measuring an outcome?

Accepted Answer

Completely randomized design

Question 14

In a study, the variable 'number of cars owned' is best classified as:

Accepted Answer

Discrete quantitative

Question 15

Which of the following is an example of a confounding variable?

Accepted Answer

A variable that affects both the response and explanatory variables, making it difficult to determine causality.

Question 16

A researcher wants to study the effect of a new drug on blood pressure. She randomly assigns 100 patients to receive the drug and 100 to receive a placebo. What is the response variable?

Accepted Answer

Blood pressure

Question 17

Which of the following formulas correctly calculates the percentage of students who own a car if 120 out of 400 students own a car?

Accepted Answer

$$\frac{120}{400} 	imes 100$$

Question 18

Which sampling method involves selecting every $$kth $$individual from a list after a random start?

Accepted Answer

Systematic sampling

Question 19

A study collects data on the temperature in degrees Fahrenheit. What is the level of measurement?

Accepted Answer

Interval

Question 20

Which of the following is NOT a step in the statistical analysis process described in the materials?

Accepted Answer

Ignore practical significance

Chapter 1: Introduction to Statistics – Structured Study Notes

Study Guide - Practice Questions

Study Guide - Flashcards