1. Lernen
    2. /
  2. Kurse
    3. /
  3. Case Studies in Statistical Thinking
  • 1

    Fish sleep and bacteria growth: A review of Statistical Thinking I and II

    Kostenlos

    To begin, you'll use two data sets from Caltech researchers to rehash the key points of Statistical Thinking I and II to prepare you for the following case studies!

  • 2

    Analysis of results of the 2015 FINA World Swimming Championships

    In this chapter, you will practice your EDA, parameter estimation, and hypothesis testing skills on the results of the 2015 FINA World Swimming Championships.

  • 3

    The "Current Controversy" of the 2013 World Championships

    Some swimmers said that they felt it was easier to swim in one direction versus another in the 2013 World Championships. Some analysts have posited that there was a swirling current in the pool. In this chapter, you'll investigate this claim! References - Quartz Media, Washington Post, SwimSwam (and also here), and Cornett, et al.

  • 4

    Statistical seismology and the Parkfield region

    Herein, you'll use your statistical thinking skills to study the frequency and magnitudes of earthquakes. Along the way, you'll learn some basic statistical seismology, including the Gutenberg-Richter law. This exercise exposes two key ideas about data science: 1) As a data scientist, you wander into all sorts of domain specific analyses, which is very exciting. You constantly get to learn. 2) You are sometimes faced with limited data, which is also the case for many of these earthquake studies. You can still make good progress!

  • 5

    Earthquakes and oil mining in Oklahoma

    Of course, earthquakes have a big impact on society, and recently are connected to human activity. In this final chapter, you'll investigate the effect that increased injection of saline wastewater due to oil mining in Oklahoma has had on the seismicity of the region.

Initializing

Ubung

EDA: Comparing magnitudes before and after 2010

Make an ECDF of earthquake magnitudes from 1980 through 2009. On the same plot, show an ECDF of magnitudes of earthquakes from 2010 through mid-2017. The time of the earthquakes, as decimal years, are stored in the NumPy array time and the magnitudes in the NumPy array mags.

Anweisungen

100 XP
  • Use Boolean indexing to slice out the magnitudes of all earthquakes before 2010 and store the result in mags_pre. Similarly, generate a numpy array mags_post that has all magnitudes of earthquakes in and after 2010.
  • Use plt.plot() with a *dcst.ecdf(____) argument to make ECDFs for pre- and post- 2010 earthquake magnitudes. Remember to specify arguments for the marker and linestyle parameters.
  • Hit 'Submit Answer' to view the plot.