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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.

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.

A link page with great pointers to data sets. (US nd world) and basic infomation on how to find 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."

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.

Basic interactive resources on interpreting data

See real-time data on a host of topics important to daily life around the world!! * world population (e.g., births this year, deaths today, net population growth for today) * government and economics (daily government spending by category; computers sold) * society and media (new book titles published, money spent on video games, Google searches) * environment (forest loss, carbon dioxide emissions, current average temperature) * food (tons of food produced; people who died of hunger) * water (water consumed, people with no access to safe drinking water) * energy (solar energy striking Earth; oil pumped; oil, gas, and coal left) * health (deaths caused by alcohol, suicides, road traffic accident fatalities) Worldometers' algorithm takes the latest statistical data available from the United Nations (UN), the World Health Organization (WHO), the Food and Agriculture Organization (FAO), and other institutions, and then processes them together with its estimated progression to compute figures current up to the millisecond. Available in dozens of languages, this site is part of the Real Time Statistics Project. Read more about that here: http://www.realtimestatistics.org/

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?

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

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

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

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.

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

Good overview of how to skew data.

The aim of this study was thus to investigate mathematical literacy in relation to learners' motivations for the contexts they would prefer to deal with in mathematical literacy. The emphasis of the study is to concentrate on learner's written motivations for mathematical contexts. Data were collected using a questionnaire that deals with contexts for mathematics.

Numbers can't "talk," but they can tell you as much as your human sources can. But just like with human sources, you have to ask! So what should you ask a number? Well, mathematicians have developed an entire field - statistics - dedicated to getting answers out of numbers. Now, you don't have to have a degree in statistics in order to conduct an effective "interview" with your data. But you do need to know a few basics. Here, described in plain English, are some basic concepts in statistics that every writer should know...

The definition of median and mean and the difference between the two terms is poorly understood by many people and while in many data sets, there is only a marginal difference between the two from a practical standpoint, there is sometimes a stark difference between the two.

Two articles: The first one gives a good perspective of the difference between mean and median and how people manipulate the data and teh second one give s an overview of oil prices vs petrol prices (american perspective)