Statistics Project

PROJECT OVERVIEW:

In this unit, students will learn about collecting and analysing data within a chosen industry including probability and chance applications. The key knowledge for this unit are:

• • Demonstrate and apply measures of mean, median and mode and simple measures of spread, including standard deviation and interquartile difference, to unfamiliar data.

  • Collect, organise and represent data in a range of formats.

  • Interpret and draw conclusions about general trends of data, variations within data sets and data reliability.

  • Apply a range of unfamiliar statistical data and simple measures of spread accurately.

  • Use knowledge about chance and probability to estimate and interpret the outcomes of common chance events in both numerical and qualitative terms.

  • Interpret, analyse and draw inferences from unfamiliar data, in terms of validity and accuracy.

  • Use and apply knowledge about probability to a range of relevant contexts.

  • Calculate theoretical probabilities and use tree diagrams to investigate the probability of outcomes in simple multiple-event trials.

  • Demonstrate the above mathematical skills in a range of processes to select an appropriate method to solve a complex real-life problem.

The students will complete:

• • Sports data research task

  • Varied data collection activities

  • GPS tracking app use

  • Analysis report and design of sport specific training program task.

On the completion of this project, the students will meet the following outcomes:

Data & Statistics:

Mathematical knowledge and techniques

• • • • Collect and represent data in graphical form using appropriate scales and axes.

      • Use whole numbers, percentages, decimals, fractions and ratios found in statistical information in text, tables and graphs.

      • Calculate, and interpret the meaning of – mean, median and mode for sets of ungrouped data.

Language

• • • • Use a range of descriptive language of graphs, tables and averages such as maximum, minimum, increasing, decreasing, constant, slope, fluctuating, average, above/below average.

Interpretation

• • • • Interpret the meaning of data and the accompanying text in terms of personal implications, social consequences, and their validity and accuracy.