# HL AI – Statistics 2

## Spearman's Rank

## t-tests

## Non-linear data

## Goodness of fit

## Data Collection

## The R squared

## Independence

## Reliability

## Hypothesis Review

## Traffic Light Coding for Unit

Make your own copy and share with your students.

##### Learning Outcomes

Calculate Spearman’s Rank coefficient and understand limitations. |

Analyse outliers and use of Spearman’s rank and Pearson’s correlation on data. |

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). |