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
10. Hypothesis Testing for Two Samples
Two Means - Unknown, Unequal Variance
Problem 8.RE.4
Textbook Question
In Exercises 1–4, classify the two samples as independent or dependent and justify your answer.
Sample 1: The fuel efficiencies of 12 cars
Sample 2: The fuel efficiencies of the same 12 cars using an alternative fuel

1
Identify the key characteristic of the two samples: Sample 1 contains the fuel efficiencies of 12 cars, and Sample 2 contains the fuel efficiencies of the same 12 cars but using an alternative fuel.
Understand the definition of independent samples: Two samples are independent if the data in one sample does not influence or is not paired with the data in the other sample.
Understand the definition of dependent samples: Two samples are dependent (or paired) if each data point in one sample is directly related to a data point in the other sample, such as measurements taken on the same subjects under different conditions.
Analyze the relationship between the two samples: Since the fuel efficiencies in Sample 2 are measured on the same cars as in Sample 1, the data points are paired. Each car's fuel efficiency in Sample 1 corresponds to its fuel efficiency in Sample 2 under the alternative fuel condition.
Conclude that the two samples are dependent because the measurements in Sample 2 are directly related to the measurements in Sample 1, as they are taken from the same set of cars under different conditions.

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.
Independent Samples
Independent samples refer to two or more groups that are not related or influenced by each other. In statistical analysis, this means that the selection or outcome of one sample does not affect the other. For example, if you were comparing the test scores of two different classes, the scores of one class would not impact the scores of the other.
Recommended video:
Guided course
Independence Test
Dependent Samples
Dependent samples, also known as paired samples, occur when the samples are related or matched in some way. This typically involves measuring the same subjects under different conditions or at different times. An example is measuring the weight of individuals before and after a diet program, where the same subjects are involved in both measurements.
Recommended video:
Sampling Distribution of Sample Proportion
Justification in Statistical Analysis
Justification in statistical analysis involves providing reasoning for classifying samples as independent or dependent based on their relationship. This is crucial for selecting the appropriate statistical tests, as different tests are used for independent versus dependent samples. Clear justification helps ensure the validity of the analysis and the conclusions drawn from the data.
Recommended video:
Guided course
Parameters vs. Statistics
Watch next
Master Difference in Means: Hypothesis Tests with a bite sized video explanation from Patrick
Start learning