Homework 2 Notebook

In this notebook, we will revisit the football data from last week in order to practice calculating the mean, median, and mode of some distributions.

# As always, Let's start with importing our packages
import os
import numpy as np
import scipy
import matplotlib
import matplotlib.pyplot as plt
from astropy.table import Table

# We can beautify our plots by changing the matpltlib setting a little
plt.rcParams['font.size'] = 18
plt.rcParams['axes.linewidth'] = 2

Show code cell content Hide code cell content

# Don't worry about this cell, it's just to make the notebook look a little nicer.
try:
    import google.colab
    IN_COLAB = True
except ImportError:
    IN_COLAB = False

# Get the directory right
if IN_COLAB:
  from google.colab import drive
  drive.mount('/content/drive/')
  os.chdir('/content/drive/Shareddrives/AST207/data')
else:
    if not os.path.exists("../../../_static/ObsAstroData/"):
        os.makedirs("../../../_static/ObsAstroData/")
    os.chdir('../../../_static/ObsAstroData/')

# Read the catalog of the football players
cat = Table.read('./players_age.csv')

Again, we can check all the column names with cat.colnames.

cat.colnames

['nflId',
 'height',
 'weight',
 'birthDate',
 'collegeName',
 'officialPosition',
 'displayName',
 'height_inches',
 'age']

1. Calculate the mean, median, and mode of the player height (in inches).

## Your answer goes here

2. Are the three numbers different? If so, why? If not, why not?

## Your answer goes here

3. Make a histogram of the player height in the same units. Do your answers make sense?

## Your answer goes here

4. Calculate the mean, median, and mode of the player age. Again histogram the player age and determine if your answers make sense.

## Your answer goes here

Extra credit: find height and age data for typical people in the United States and compare our statistics with those of football players. How can you compare the distributions?

## Your answer goes here