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  3. Analyzing Survey Data in Python

Exercise

Inferential statistics

To get vital health data in tracking for youth body mass index, health officials sent out a youth survey to a nationally representative sample of youths between 14 to 20 years of age as of December 31, 1999. The dataset tracks the age Age, height in inchesHeight_in, weight in pounds Weight_lbs, gender Gender, and the self reported multiple choice answer to the question, 'How would you describe your weight?' describe_weight.

The cleaned up dataset of the survey has been loaded as youth_survey_clean. In this exercise, you will calculate confidence intervals.

pandas, NumPy, and SciPy's statistics package have been loaded as pd, np and st, respectively.

Instructions

100 XP
  • Calculate the confidence interval for the true population mean height, Height_in, using a 95% confidence level.
  • Calculate the confidence interval for the true population mean height, Height_in, using a 99% confidence level.