DS+4.2+Data+Analysis

__Introduction__
 * What is Data? What is analysis? - Brainstorm and discuss
 * Examples - YouTube vids(??), diagrams.

Eye colour column graph on the board using pieces of coloured paper. Convert paper columns into drawn columns. Write up analysis of graph.

[] - what does this graph tell us about hair colour for that class? Is it the same for 8 MAD?

[] - What does each diagram show? What does it tell us about this person's day? Which activity takes up most of their day? The least?

__Formulating key questions to generate data for a problem of interest__

Using the

What data will you need to collect so you can answer the question? - what questions do we want answered?

__Refining key questions after a trial__

__Recognising the difference between a census and a sample__ Notes on board and discussion.

__Finding measures of location (mean, mode, median) for small sets of data__ Notes on mean, median and mode. Pages 178-9, //Year 9 Communication Maths//. Numbers on board of class test results. Students to put data into a frequency table. Students to find the mean.

__Using a scientific or graphics calculator to determine the mean of a set of scores__

__Using measures of location (mean, mode, median) and the range to analyse data that is displayed in a frequency distribution table, stem-and-leaf plot, dot plot__

As above for finding measures __Collecting data using a random process, eg. numbers from a page in a phone book, or from a random number function on a calculator__

__Making predictions from a sample that may apply to the whole population__

__Making predictions from a scatter diagram or graph__ If you were to watch the road for an hour how many white cars do you think you would see? If you rolled a die 30 times, how many sixes would you get?

__Using spreadsheets to tabulate and graph data__ tabulate and graph car colour data.

__Analysing categorical data eg. a survey of car colours__ Data collection at the front of the school. Data put into books.