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Learn Challenge 4: Confidence Intervals | Statistics
Data Science Interview Challenge

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Challenge 4: Confidence Intervals

In the realm of statistics, confidence intervals provide a range within which a population parameter is likely to fall. They offer a degree of certainty around a sample statistic. For example, if you survey a group of people about their height, and compute an average height of 170 cm with a 95% confidence interval of (168 cm, 172 cm), this suggests that you're 95% confident that this range would cover the real height of the entire population.

Task

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In this exercise, leveraging a random sample data set, you'll:

  1. Compute the sample mean and the standard error.
  2. Determine the 95% confidence interval for the mean of the sample data.

Solution

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SectionΒ 6. ChapterΒ 4
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Challenge 4: Confidence Intervals

In the realm of statistics, confidence intervals provide a range within which a population parameter is likely to fall. They offer a degree of certainty around a sample statistic. For example, if you survey a group of people about their height, and compute an average height of 170 cm with a 95% confidence interval of (168 cm, 172 cm), this suggests that you're 95% confident that this range would cover the real height of the entire population.

Task

Swipe to start coding

In this exercise, leveraging a random sample data set, you'll:

  1. Compute the sample mean and the standard error.
  2. Determine the 95% confidence interval for the mean of the sample data.

Solution

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

close

Awesome!

Completion rate improved to 2.33

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