Exploring Experimental Design Types in AP Statistics

What is the primary reason for watching the first video before this one?

• To get an overview of randomized block design

• To learn about statistical significance

• To know about matched pair design

• To understand the basics of experimental design

In a completely randomized design, how are subjects assigned to treatment groups?

• Based on their age

• Completely by chance

• Based on their gender

• Based on their medical history

What is the purpose of using a placebo in an experiment?

• To randomize the subjects

• To ensure all subjects receive the new treatment

• To serve as a control group

• To increase the number of treatment groups

What is the main advantage of increasing replication in an experiment?

• It increases the number of treatment groups

• It ensures all subjects receive the same treatment

• It reduces the number of variables

• It diminishes the impact of uncontrolled variables

In a randomized block design, what is the first step?

• Analyzing the results

• Randomly assigning subjects to treatment groups

• Blocking subjects based on a common variable

• Administering the treatment

What is the main benefit of blocking in a randomized block design?

• It increases the number of treatment groups

• It randomizes the subjects

• It reduces variability within blocks

• It ensures all subjects receive the new treatment

What is a key limitation of a matched pair design?

• It does not reduce variability

• It can only be used with two treatments

• It requires blocking subjects based on a common variable

• It can only be used with more than two treatments

In a matched pair design, how are subjects paired?

• Based on multiple similar variables

• Randomly

• Based on their treatment preference

• Based on a single variable

What does it mean if the results of an experiment are statistically significant?

• The differences observed are likely due to chance

• The sample size was too small

• The differences observed are too large to have occurred by chance

• The experiment was not conducted properly

Why is a larger sample size more meaningful in determining statistical significance?

• It reduces the impact of outliers

• It increases the number of treatment groups

• It ensures all subjects receive the same treatment

• It randomizes the subjects