Question 1

Which of the following best describes the difference between a population and a sample in statistics?

Accepted Answer

A population includes all individuals of interest, while a sample is a subset selected from the population.

Question 2

A researcher surveys 200 students at a university to estimate the average amount of time all university students spend studying per week. What is the population of interest?

Accepted Answer

All university students

Question 3

Which of the following is an example of quantitative data?

Accepted Answer

Height in centimeters

Question 4

A study finds a statistically significant relationship between eating breakfast and higher test scores. Which of the following is a correct interpretation?

Accepted Answer

There is a correlation between eating breakfast and higher test scores, but causation is not established.

Question 5

Which sampling method divides the population into subgroups and randomly selects members from each subgroup?

Accepted Answer

Stratified sampling

Question 6

A researcher wants to study the effect of a new medication. She randomly assigns 100 patients to receive the medication and 100 to receive a placebo. What type of experimental design is this?

Accepted Answer

Completely randomized design

Question 7

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

Accepted Answer

Political party affiliation

Question 8

Suppose a researcher collects data on the number of cars passing through an intersection every hour. What type of variable is this?

Accepted Answer

Quantitative, discrete

Question 9

Which of the following best describes a confounding variable?

Accepted Answer

A variable that is related to both the explanatory and response variables, making it difficult to determine causation.

Question 10

A survey asks, 'Don’t you think the new policy is unfair?' What type of bias is most likely present in this question?

Accepted Answer

Loaded question bias

Question 11

A researcher selects every 10th person from a list of 1,000 employees. What type of sampling method is this?

Accepted Answer

Systematic sampling

Question 12

Which of the following is an example of practical significance?

Accepted Answer

A new policy reduces crime rates by 20% in a city, and the result is statistically significant.

Question 13

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

Accepted Answer

Predict

Question 14

A study collects the weights of 500 newborn babies. Which of the following best describes the variable 'weight'?

Accepted Answer

Quantitative, continuous

Question 15

Which of the following is an example of cluster sampling?

Accepted Answer

Dividing a city into neighborhoods and randomly selecting all households from 5 randomly chosen neighborhoods.

Question 16

A researcher wants to study the effect of caffeine on reaction time. She randomly assigns participants to receive either caffeine or a placebo, and neither the participants nor the experimenters know who receives which treatment. What is this an example of?

Accepted Answer

Double-blind experiment

Question 17

Which of the following is a potential problem with self-reported data?

Accepted Answer

Respondents may not answer truthfully, leading to bias.

Question 18

A study finds a strong correlation between ice cream sales and drowning incidents. What is the best explanation for this finding?

Accepted Answer

A lurking variable, such as temperature, affects both ice cream sales and drowning incidents.

Question 19

Which of the following best describes an observational study?

Accepted Answer

Researchers observe subjects and measure variables of interest without assigning treatments.

Question 20

A researcher divides a population into regions, randomly selects some regions, and then samples all individuals from those regions. What sampling method is this?

Accepted Answer

Cluster sampling

Chapter 1: Introduction to Statistics – Study Notes

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