# Lecture 2 – Data Sampling and Probability

by Suraj Rampure (Summer 2020)

This is the first lecture of a brand-new format! Make sure to complete the Quick Check problems as you progress through the videos to confirm your understanding.

Video | Quick Check | |
---|---|---|

2.1 Censuses and surveys. Issues with the US Census. |
2.1 | |

2.2 Samples. Drawbacks to convenience and quota samples. |
2.2 | |

2.3 A case study in sampling bias (1936 election). |
2.3 | |

2.4 Sources of bias, and a formal definition of sampling frames. |
2.4 | |

2.5 Probability samples, and why we need them. |
2.5 | |

2.6 Introducing binomial and multinomial probability calculations. |
2.6 | |

2.7 Generalizing binomial and trinomial probability calculations. |
2.7 | |

2.8 (Extra) Using permutations and combinations to derive the binomial coefficient. |
2.8 | |

2.9 (Extra) Example usages of the binomial coefficient. |
2.9 |