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Learning Statistics with Python

Confidence Interval Width Quiz

1. What does a 95% confidence interval mean?

2. How can you calculate a confidence interval for the mean using Python?

3. If you increase the confidence level (e.g., from 95% to 99%), what happens to the confidence interval?

What does a 95% confidence interval mean?

Select the correct answer

There is a 95% probability that the true population parameter falls within the interval.

The interval represents a 95% chance that the sample mean will fall within the range.

The true population parameter is guaranteed to be within the interval 95% of the time.

If the experiment were repeated many times, 95% of the calculated intervals would contain the true population parameter.

How can you calculate a confidence interval for the mean using Python?

Select the correct answer

Use the mean() function from numpy.

Use the st.norm.interval() function.

Use the np.var() function to calculate the interval.

Use the numpy.percentile() function to estimate the confidence interval.

If you increase the confidence level (e.g., from 95% to 99%), what happens to the confidence interval?

Select the correct answer

The interval becomes narrower.

The interval becomes wider.

The interval stays the same.

The interval becomes less accurate.

Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 5. Chapter 4

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Confidence Interval Width Quiz

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1. What does a 95% confidence interval mean?

2. How can you calculate a confidence interval for the mean using Python?

3. If you increase the confidence level (e.g., from 95% to 99%), what happens to the confidence interval?

What does a 95% confidence interval mean?

Select the correct answer

There is a 95% probability that the true population parameter falls within the interval.

The interval represents a 95% chance that the sample mean will fall within the range.

The true population parameter is guaranteed to be within the interval 95% of the time.

If the experiment were repeated many times, 95% of the calculated intervals would contain the true population parameter.

How can you calculate a confidence interval for the mean using Python?

Select the correct answer

Use the mean() function from numpy.

Use the st.norm.interval() function.

Use the np.var() function to calculate the interval.

Use the numpy.percentile() function to estimate the confidence interval.

If you increase the confidence level (e.g., from 95% to 99%), what happens to the confidence interval?

Select the correct answer

The interval becomes narrower.

The interval becomes wider.

The interval stays the same.

The interval becomes less accurate.

Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 5. Chapter 4