- Reference/Lecture notes
- Statlets: Java applets for demonstrations and standard statistics calculations
- Jupyter lab notebooks: Interactive python notebooks for calculations and plots
- GoSoapBox: class response system

Section | Statlets | Jupyter lab folders | GoSoapBox |
---|---|---|---|

Probability theory | Binary output buttons | trisep1 | |

Describing data and distributions | Data in 2D | Data and distributions | trisep1 |

Special probability distributions | Probability distributions | Special probability distributions | trisep1 |

Monte Carlo methods | Multiplicative Linear Congruential algorithm | Monte Carlo methods | trisep1 |

Testing hypotheses | Hypothesis test with a continuous test statistic | Testing Hypotheses | trisep2 |

Estimating parameters and maximum likelihood | Fitting 2 parameters | Estimating parameters | trisep3 |

Method of least squares | Least squares fit | trisep3 | |

Errors and confidence intervals | Errors and confidence intervals | trisep4 |

- wget -r https://particle.phys.uvic.ca/~karlen/trisep2019

By opening the index.html file, the links will point to the local copies of all of the resources.