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Module 6 Post-Assessment

Measure your learning gains after completing Module 6

About This Assessment

This post-assessment measures what you've learned about confidence intervals after completing Module 6. Compare your results with your pre-assessment score to see how much you've improved!

5 questions covering key confidence interval concepts (same as pre-assessment)
No time limit – take your time
Not graded – this measures your learning gains
Expect to do much better now that you've completed the lessons!

1 What is a confidence interval?

A single number that estimates a population parameter
A range of values that likely contains the population parameter
The probability that a parameter equals a specific value
The standard deviation of the sampling distribution

2 What does a 95% confidence level mean?

There is a 95% chance that the population parameter is in this specific interval
If we construct many intervals this way, about 95% of them will contain the true parameter
95% of the data falls within this interval
The sample mean is within 95% of the population mean

3 What is the margin of error in a confidence interval?

The difference between the sample mean and population mean
The amount we add and subtract from the point estimate to create the interval
The probability of making an error
The standard deviation of the sample

4 When should you use the t-distribution instead of the z-distribution for a confidence interval for a mean?

When the population standard deviation (σ) is unknown
When the sample size is greater than 30
When working with proportions
When you want a 95% confidence level

5 What happens to the margin of error if you increase the sample size (all else being equal)?

The margin of error increases
The margin of error decreases
The margin of error stays the same
The margin of error doubles

This measures your learning gains after completing Module 6.

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