February 17, 2012

In this activity students will have the opportunity to explore real data collected on the completion of a maze. Through the two-sample independent t-test, students will test to see if the mean time to complete the maze is significantly different for males compared to females. Every step of a hypothesis test will be performed including: constructing the hypotheses, checking the necessary assumptions, calculating the test statistic and p-value, and interpreting the results in context.

- Mathematics > General
- Mathematics > Applied Mathematics
- Mathematics > Data Analysis & Probability
- Mathematics > Problem Solving
- Mathematics > Statistics
- Education > General

- Grade 9
- Grade 10
- Grade 11
- Grade 12

Represent data with plots on the real number line (dot plots, histograms, and box plots).

Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.

Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).

Understand statistics as a process for making inferences about population parameters based on a random sample from that population.

Use data from a randomized experiment to compare two treatments; use simulations to decide if differences between parameters are significant.

Represent data with plots on the real number line (dot plots, histograms, and box plots).

Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.

Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).

Understand statistics as a process for making inferences about population parameters based on a random sample from that population.

Use data from a randomized experiment to compare two treatments; use simulations to decide if differences between parameters are significant.