Update assignment_3.ipynb

[SainaAliabadi]

What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)

Run codes to do bootstrapping and find the confidence interval of the population based on the sample data that was given.

What did you learn from the changes you have made?

That Bootstrapping will be helpful to find out about the reliability of the sample data set calculation, whether it can be generalized to the population or not

Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?

No

Were there any challenges? If so, what issue(s) did you face? How did you overcome it?

No

How were these changes tested?

NA

A reference to a related issue in your repository (if applicable)

NA

Checklist

• [ X] I can confirm that my changes are working as intended

[PatelVishakh]

Assignment 3 Complete! Great work.

Recommended changes:

Q5) ii)The confidence interval gives us a range of values where we think the true mean likely falls. It helps us understand how sure we are about our mean estimate. A narrow confidence interval means we are more confident about our mean being accurate, while a wide interval means there’s more uncertainty.

Q5)iii) Point Estimate: The sample mean of Color Intensity is 5.06 90% Confidence Interval: We estimate that the true mean of Color intesnity is between 4.78 and 5.35.