Arguably the most famous awards in the world, but are the Academy Awards® ageist and sexist? The mean age of female winners is 36 compared with males at 44, but Jessica Tandy (Driving Miss Daisy) won an award at age 81, the oldest award recipient. Katherine Hepburn won an award at age 74. What can the rest of the data tell us about the distribution of ages for both males and females. Students explore different representations of the data and interpret these to answer the big question, are the awards ageist and sexist?

Electronic, auto correcting assessment for the Australian Mathematics Curriculum standard ACMSP248 using the TI-Navigator system including a companion PDF of the same for teachers that do not have access to the TI-Navigator System.

Electronic, auto correcting assessment for the Australian Mathematics Curriculum standard ACMSP250 using the TI-Navigator system including a companion PDF of the same. Content detail: "Compare shapes of box plots to corresponding histograms and dot plots."

Students are given data containing the height, weight, age and field positions of all football players from the 32 teams which participated in the 2010 FIFA World Cup in South Africa. In this activity, students create a series of box plots to compare the key features of this data.

What is the probability that a randomly generated quadratic will factorise? This investigation looks at a significantly reduced set of quadratics using dice to generate the coefficients. The coefficient of x is the sum of two dice and the constant is the product of two dice. Simulation is used for predicting the probability followed by theoretical computations.

A very popular probability game, but it is so much more than an end of lesson filler. In this activity students start with the traditional approach of playing and exploring, however they are soon challenged to explore strategies and determine the expected value. In the extension students are challenged to consider a responsive strategy.

What seems like a really simple coin tossing problem has a very surprising result that is counter intuitive.  After playing a few sample games students may start to become suspicious with regards to whether the game is fair. Students then start collecting data as evidence, leading to a great exploration that provides insights into sampling distributions, confidence intervals and Type I and Type II errors.