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Drawing graphs of real life situations Drawing and interpreting more than one graph on a system of axes. Grids, maps, compass Use and interpret scale drawings, build scale models Compare, summarise and display data - describe trends Probability and misuse of statistics in society

"In this Gr 12 Maths Lit live show we take a close look at exam revision questions relating to Finance, Measurement & Data Handling. "

"In this Gr 12 Maths Lit live show we take a close look at exam revision questions relating to Finance, Data Handling & Measurement."

Students will learn about daylight. They will collect data on sunrise and sunset in the town or city where they live.  They will understand the data pattern and offer a hypothesis about  the reasons that the amount of daylight varies during the year.

In this activity, students conduct an investigation to determine the rate of change in the popping of microwave popcorn. Four volunteers will estimate the time in the popping process where the rate of change is at 5 chosen levels. Other students will collect data on number of pops during consecutive 5 second time periods and draw histograms. Students will understand the approximate normal curve for a real data set and the relationship between the rate of popping and the shape of the distribution. This activity also provides an opportunity for students to understand human errors in data collection because not everyone will have the same number of frequencies in the corresponding classes of their histograms.

In this activity, students conduct an investigation to determine the rate of change in the popping of microwave popcorn. Four volunteers will estimate the time in the popping process where the rate of change is at 5 chosen levels. Other students will collect data on number of pops during consecutive 5 second time periods and draw histograms. Students will understand the approximate normal curve for a real data set and the relationship between the rate of popping and the shape of the distribution. This activity also provides an opportunity for students to understand human errors in data collection because not everyone will have the same number of frequencies in the corresponding classes of their histograms.

This tool creates visualizations graphs of the data your twitter/hashtag archives. Use it to help you understand trends such as the number of Tweets over time, top users and words, sentiment, and more.

This could be a great tool to use with students in the clasrrom. They can research their won dataset and visualise it.

In this unit students develop a variety of mathematical skills including: * Data collection and organisation, using a questionnaire about grocery stores, brand names and cell-phones.* Graphical representation of the Data collected using bar graphs and pie charts.* Understanding cumulative Data, as well as developing and interpreting frequency tables. * Analysis of Data to answer questions, using graphs and tables.* Reading and interpreting fi gures, in the context of a newspaper report concerning skills development. * Calculating the various measures of central tendency and percentages in the context of workers and wages.* Working with range and spread of Data.* Identifying distortion and manipulation of information.* Identifying patterns and trends,  through working with scatterplots and broken line graphs.* Making simple predictions and comparisons.

"Online social network sites like Facebook and Twitter became common destinations for young people. Throughout the world, young people are logging in, creating elaborate profiles, publicly articulating their relationships with other participants, and writing extensive comments back and forth. South Africa was not left behind and Facebook became increasingly popular amongst people of all ages. Figure 1 below gives a summary of the total number of Facebook users in South Africa from March 2011 to July 2011. Study Figure 2.1 and answer the questions that follow:"

Good overview of how to skew data.

Loads of links to sites with statistical data sets in a variety of fields.

A rather humerous look at how we can represent data using charts and all kind of visual objects.

An index that relates the cost of mobile services to income at the bottom of the pyramid in Africa. Is his assumptions feasable? What can we do with this data?

A site with geopolitical data, statistics on the human population, Earth and more. The main kind of data you can find here is population statistics of regions, countries, provinces and cities. Next to that there are some statistics on economic factors like wealth, infrastructure; statistics on natural phenomena; ....... and yet, even more."