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Making Statistics Vital
Making statistics vital
This Making Statistics Vital collection consists of forty independent activities covering the topics of exploring data, data presentation, measures of centre and spread, probability, discrete random variables, binomial distribution, the Poisson distribution, the normal distribution, sampling and hypothesis testing using the normal distribution, contingency tables and the Chi-Squared distribution, bivariate data, regression and correlation and Markov chains. Students have practical opportunities to explore and develop further their knowledge and understanding of statistical measures and their application.
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Binomial Distribution: the Binomial Mean and Variance
This activity begins with the definition of the mean and the variance of a binomial distribution. Students are then challenged to take each definition and prove that they work for the binomial distribution B(3,p). The first task is for students to construct the probability distribution then calculate the mean and...
Binomial Distribution: Binomial Reverse
Most binomial questions define the binomial distribution and ask students to calculate the most likely value for x. In this activity, students are asked to explore whether the value for p can be found given the value for n and the most likely value for x. Subsequent pages of the presentation provide the solution to...
The Poisson Distribution: Raindrops onto a Paving Slab
This resource comprises a spreadsheet which models raindrops falling onto paving slabs. As the variables are adjusted associated graphs display both the experimental and theoretical results. The resource is designed to encourage discussion of how a binomial distribution can be approximated by a Poisson distribution...
The Poisson Distribution: Poisson or Not?
In this resource, students are asked to consider data set in which the value of the mean is very close to the value of the variance. The aim of the resource is for students to understand that whilst mean being equal to variance indicates that the distribution may be a Poisson distribution that this not true in all...
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| Subject(s) | Mathematics |
|---|---|
| Age | 16-19 |
| Published | 2010 to 2019 |
| Published by | |
| Collections | |
| Direct URL | https://www.stem.org.uk/cx65s |
