Table of contents
- 1. Intro to Stats and Collecting Data(0)
- 2. Describing Data with Tables and Graphs(0)
- 3. Describing Data Numerically(0)
- 4. Probability(0)
- 5. Binomial Distribution & Discrete Random Variables(0)
- 6. Normal Distribution and Continuous Random Variables(0)
- 7. Sampling Distributions & Confidence Intervals: Mean(0)
- 8. Sampling Distributions & Confidence Intervals: Proportion(0)
- 9. Hypothesis Testing for One Sample(0)
- 10. Hypothesis Testing for Two Samples(0)
- 11. Correlation(0)
- 12. Regression(0)
- 13. Chi-Square Tests & Goodness of Fit(0)
- 14. ANOVA(0)
7. Sampling Distributions & Confidence Intervals: Mean
Introduction to Confidence Intervals
7. Sampling Distributions & Confidence Intervals: Mean
Introduction to Confidence Intervals: Videos & Practice Problems
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Problem 17Multiple Choice
A health researcher collected a random sample of nightly sleep durations (in hours) from a fitness tracking device. To estimate the population median sleep time, the researcher generated bootstrap samples, each of size , by sampling with replacement from the original data. The median sleep time was computed for each bootstrap sample. After sorting the bootstrap medians, the researcher found the following percentile values:
percentile: hours
percentile: hours
The median of all nightly sleep durations stored in the tracker’s database is known to be hours. How well did the bootstrap method perform in capturing a good estimate of the population median?
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