DA5020

.docx

School

San Jose State University *

*We aren’t endorsed by this school

Course

247

Subject

Statistics

Date

Feb 20, 2024

Type

docx

Pages

Uploaded by CorporalZebra4128

Assignment 3 Question 5 Analyze the tip_amount and trip_distance variables to identify any outliers. You can assume the outliers are 3 standard deviations from the mean. Comment on the outliers that were detected; after which, remove the outlier tip_amount from the data Explanation : In order to identify outliers in the tip_amount and trip_distance variables, we can use the mean and standard deviation of each variable. An outlier can be defined as a value that is more than 3 standard deviations away from the mean. To implement this in python we can use the numpy library to calculate the mean and standard deviation of the tip_amount and trip_distance variables, and then use these values to identify the outliers. The same process can be done for trip_distance variable. It's important to note that while this approach is a common method to identify outliers, it may not always be appropriate for all datasets, as it assumes a normal distribution of the data, which may not be the case. Additionally, removing outliers can be a subjective decision and should be based on the specific context of the data and the research question.

Discover more documents: Sign up today!

Unlock a world of knowledge! Explore tailored content for a richer learning experience. Here's what you'll get: