# HL AI – Confidence and Hypothesis

## Random Variables

## t-tests

## Errors

## Central Limit

## Independence

## Hypothesis Review

## Confidence

## Goodness of fit

## Traffic Light Coding for Unit

Make your own copy and share with your students.

##### Learning Outcomes

Understand the null and alternative hypothesis for testing, the p-value, and significance levels. |

Conduct and analyse a Chi Squared test for goodness of fit. |

Conduct and analyse a Chi Squared test for independence. |

Conduct a t-test to analyse the means of two populations, using one and two tailed data. |

Design appropriate data collection techniques. |

Choosing appropriate data to analyse and fitting to relevant data types. |

Understanding reliability, testing and results with statistics |

Analysing non-linear regression, and evaluation of least squares regression on data. |

Sum of square residuals to fit a model. |

Using and finding the coefficient of determination (R2). |