# HL AI – Statistics 1

## Types of Data

## Cumulative Frequency

## Unbiased Estimators

## Sampling

## Regression

## Statistics Review

## Averages and Range

## Variance

## Traffic Light Coding for Unit

Make your own copy and share with your students.

##### Learning Outcomes

Types of data: continuous and discrete. |

Sampling: random samples, bias in samples and outliers. |

Understand how to take a random sample, stratified data, systematic data. |

Central tendency measure: mean, mode, median, range and quartiles, including grouped data. |

Understand statistical diagrams such as histograms with even bar width. |

Reading and constructing cumulative frequency and box and whisker plots. |

Variance and standard deviation, and effect of constant changes on data. |

Correlation and regression values, Pearsonsâ€™ product moment correlation coefficient. |

Scatter diagrams, lines of best fit and predicting data from lines. |

Biased and unbiased estimators |