Table of contents
- 1. Intro to Stats and Collecting Data55m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically1h 45m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables2h 33m
- 6. Normal Distribution and Continuous Random Variables1h 38m
- 7. Sampling Distributions & Confidence Intervals: Mean1h 3m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- 9. Hypothesis Testing for One Sample1h 1m
- 10. Hypothesis Testing for Two Samples2h 8m
- 11. Correlation48m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 20m
- 14. ANOVA1h 0m
1. Intro to Stats and Collecting Data
Intro to Stats
Problem 1.3.33
Textbook Question
In Exercises 33–36, identify which of these designs is most appropriate for the given experiment: completely randomized design, randomized block design, or matched pairs design.
Lunesta Lunesta is a drug designed to treat insomnia. In a clinical trial of Lunesta, amounts of sleep each night are measured before and after subjects have been treated with the drug.

1
Identify the key elements of the experiment: the treatment (Lunesta), the subjects (individuals with insomnia), and the measurements (amounts of sleep each night before and after treatment).
Consider the nature of the measurements: since the same subjects are measured before and after the treatment, this suggests a comparison of two related samples.
Recognize that the design involves comparing the same subjects under two different conditions (before and after treatment), which is characteristic of a matched pairs design.
Understand that a matched pairs design is appropriate here because it controls for individual variability by using each subject as their own control.
Conclude that the matched pairs design is most suitable for this experiment as it allows for a direct comparison of the effects of Lunesta on the same individuals, enhancing the reliability of the results.

This video solution was recommended by our tutors as helpful for the problem above
Video duration:
2mPlay a video:
Was this helpful?
Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Completely Randomized Design
A completely randomized design is an experimental setup where all subjects are randomly assigned to different treatment groups. This design is useful when the subjects are homogeneous, and the goal is to ensure that each treatment group is statistically equivalent, minimizing bias and confounding variables.
Recommended video:
Guided course
Intro to Random Variables & Probability Distributions
Randomized Block Design
A randomized block design involves grouping subjects into blocks based on a certain characteristic before randomly assigning treatments within each block. This design is effective when there are known sources of variability among subjects, allowing for more precise comparisons by controlling for these differences.
Recommended video:
Guided course
Intro to Random Variables & Probability Distributions
Matched Pairs Design
A matched pairs design is used when subjects are paired based on similar characteristics, and each pair is split to receive different treatments. This design is particularly useful in before-and-after studies, like the Lunesta trial, as it controls for individual variability by comparing each subject to themselves, enhancing the reliability of the results.
Recommended video:
Guided course
Introduction to Matched Pairs
Watch next
Master Introduction to Statistics Channel with a bite sized video explanation from Patrick
Start learning