Two Parameters

Author

Roshan Ranganathan 

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We refined the NHANES dataset to focus on adult males, visualized their height distribution, and estimated the likelihood of encountering a man taller than 180 cm to analyze height trends. Addressing Justice in data science, we ensured our models considered the Population Table, stability, representativeness, and unconfoundedness. We recognized that non-representativeness due to voluntary participation could affect results. Applying Courage, we developed and tested a linear model to estimate average height, validating our approach to ensure accurate insights.

Characteristic

Beta

95% CI

1
(Intercept) 176 176, 176
1

CI = Credible Interval

 

# A tibble: 1 × 2
   .row  odds
  <int> <dbl>
1     1 0.294