Two samples are if the sample values are paired.
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables3h 6m
- 6. Normal Distribution and Continuous Random Variables2h 11m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 23m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 25m
- 9. Hypothesis Testing for One Sample3h 29m
- 10. Hypothesis Testing for Two Samples4h 50m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 3m
- Two Means - Unknown Variances Hypothesis Test - Excel12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - Excel21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - Excel12m
- 11. Correlation1h 24m
- 12. Regression1h 50m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
10. Hypothesis Testing for Two Samples
Two Means - Matched Pairs (Dependent Samples)
Problem 11.2.19d
Textbook Question
[DATA] Putting It Together: Glide Testing You are a passenger in a single-propeller-driven aircraft that experiences engine failure in the middle of a flight. The pilot wants to maximize the distance that the plane can glide to increase the likelihood of finding a safe place to land. To accomplish this goal, should the pilot allow the propeller to “windmill” or should the pilot force the propeller to stop? To obtain the data needed to answer the research question, a pilot climbed to 8000 feet at a speed of 60 knots and then killed the engine with the propeller either windmilling or stopped. Because the time to descend is directly proportional to glide distance, the time to descend to 7200 feet was recorded in seconds and used as a proxy for glide distance. The design called for randomly choosing the order in which the propeller would windmill or be stopped. The data in the table represent the time to descend 800 feet for each of 27 trials. Note: Visit www.aceaerobaticschool.com to see footage of this scenario.


d. What is the response variable in the study? What are the treatments?
Verified step by step guidance1
Step 1: Identify the response variable. The response variable is the outcome that is measured in the study to assess the effect of the treatments. In this case, the response variable is the time to descend 800 feet, measured in seconds, which serves as a proxy for glide distance.
Step 2: Identify the treatments. Treatments are the different conditions or groups that are applied to the experimental units to observe their effect on the response variable. Here, the treatments are the two propeller conditions: 'Windmilling' and 'Stopped'.
Step 3: Understand the experimental design. Each trial records the time to descend 800 feet under both treatments, allowing comparison of the glide performance between the windmilling propeller and the stopped propeller conditions.
Step 4: Summarize the variables. So, the response variable is the 'time to descend 800 feet (seconds)', and the treatments are the two propeller states: 'Windmilling' and 'Stopped'.
Step 5: Recognize the purpose of the study. The goal is to determine which propeller condition maximizes glide distance, inferred from the descent time, by comparing the response variable across the two treatments.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Response Variable
The response variable is the outcome measured in an experiment to assess the effect of treatments. In this study, it is the time to descend 800 feet, recorded in seconds, which serves as a proxy for glide distance. This variable reflects how long the plane takes to descend under different propeller conditions.
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Treatments
Treatments are the different conditions or interventions applied to experimental units to observe their effects. Here, the treatments are the two propeller conditions: allowing the propeller to windmill versus forcing the propeller to stop. These treatments are compared to determine which maximizes glide distance.
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Randomized Experimental Design
Randomization involves randomly assigning the order of treatments to reduce bias and ensure valid comparisons. In this study, the order of windmilling or stopped propeller conditions was randomly chosen for each trial, helping to control for confounding variables and improve the reliability of the results.
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