Workshop for Post-Primary Mathematics

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Presentation transcript:

Workshop for Post-Primary Mathematics Workshop 2 - Statistics & Probability

Rationale

Timetable 19.00 - 19.05 Overview 19.05 - 19.20 Review of Workshop 1 HW Task 19.20 - 20.05 Task 1 - Modelling Techniques for Probability 20.05 - 20.20 Break 20.20 - 21.15 Task 2 - The Normal Distribution 21.15 - 21.20 Task 3 - Putting your Learning into Action 21.20 - 21.30 Summary

Review of Workshop 1 How did you bring your learning from Workshop 1 GeoGebra back into your classroom?

https://tinyurl.com/StatHopes Your expectations What do you hope to gain from this workshop? https://tinyurl.com/StatHopes Password: StatHopes

Key messages It is important to build on students’ knowledge from Junior Cycle to extend their understanding of probability and statistics at Senior Cycle. Multiple representations of probability situations are important for sense making, for developing deep conceptual understanding and for developing adaptive thinking. Probability and Statistics are deeply connected.

Task 1 - Modelling Techniques for Probability Learning Outcomes Develop an understanding of the Multiplication Rule for Probability P(A & B) Develop an understanding of Conditional Probability P(A|B), P(B|A) Recognise the importance of building on students’ prior knowledge from Junior Cycle to facilitate and deepen learning at Senior Cycle.

Prior Knowledge What does the syllabus tell us about JC Probability? How to calculate probability The Fundamental Principle of Counting The use of sample space diagrams to work out probabilities

Junior Certificate Probability

Task 1 Santa has a naughty and nice list. Out of 100,000 people in ‘Ballydahob’, it was found that 0.1% of the people are on Santa’s naughty list. Santa is 100% correct when drafting his list, he always checks it twice! His elves have created a new naughty alert app which is 99% accurate. A person will receive an alert to tell them the list to which they have been assigned. You receive a text to say that you are on the naughty list. Should you be worried? Justify your response.

Modelling the data Santa has a naughty and nice list. Out of 100,000 people in ‘Ballydahob’, it was found that 0.1% of the people are on Santa’s naughty list. Santa is 100% correct when drafting his list, he always checks it twice! Display these frequencies using as many representations as possible.

Solutions Naughty Nice 100,000 Using one of the representations calculate the probability of a person chosen at random being on the naughty list Describe using words how you calculated this probability.

Modelling the data Santa has a naughty and nice list. Out of 100,000 people in ‘Ballydahob’, it was found that 0.1% of the people are on Santa’s naughty list. Santa is 100% correct when drafting his list, he always checks it twice! His elves have created a new naughty alert app which is 99% accurate. A person will receive an alert to tell them the list to which they have been assigned.

99 Tree Diagram 2 100 1 100,000 999 99,900 98,901 Naughty Nice Naughty Alert 100 Nice Alert 1 Naughty 100,000 Nice 999 Naughty Alert 99,900 Nice Alert 98,901

Tree Diagram 3 Naughty Alert 0.00099 0.99 Naughty 0.01 Nice Alert 0.00001 0.001 1 Naughty Alert 0.00999 0.999 0.01 Nice 0.99 Nice Alert 0.98901

99 Tree Diagram 2 100 1 100,000 999 99,900 98,901 Naughty Nice Naughty Alert 100 Nice Alert 1 Naughty 100,000 Nice 999 Naughty Alert 99,900 Nice Alert 98,901

Conditional Probability You receive a text to say that you are on the naughty list. Should you be worried? Justify your response. Given that you received a naughty alert, what is the probability that you are on the naughty list?

Recap Santa has a naughty and nice list. Out of 100,000 people in ‘Ballydahob’, it was found that 0.1% of the people are on Santa’s naughty list. Santa is 100% correct when drafting his list, he always checks it twice! His elves have created a new naughty alert app which is 99% accurate. A person will receive an alert to tell them the list to which they have been assigned. You receive a text to say that you are on the naughty list. Should you be worried?

Relationship to Syllabus

Examination Questions LCOL 2016

Examination Question LC HL 2017

Multiplying Probabilities Late Rain On time John’s day Late No Rain If there are m ways to perform an event and n ways for another independent event, then there are m x n ways to perform both. On time

Fundamental Principle of Counting Late Late Late Rain Late Late On time Late Late Late John’s Day Rain Late Late On time Late On time On time No Rain On time On time On time

Task 1 - Modelling Techniques Learning Outcomes Develop an understanding of the Multiplication Rule for Probability P(A & B) Develop an understanding of Conditional Probability P(A|B), P(B|A) Recognise the importance of building on students’ prior knowledge from Junior Cycle to facilitate and deepen learning at Senior Cycle.

Task 2 - The Normal Distribution Learning Outcomes Understand that statistics and probability are connected. Recognise the benefit in using GeoGebra to support constructivist learning. Recognise the importance of using students’ prior knowledge from Junior Cycle to extend their learning at Senior Cycle. Develop an understanding of the properties of the normal distribution and the Empirical Rule. Understand the importance of linking the mean and standard deviations to the introduction of normal distribution.

Building on students’ knowledge from Junior Cycle What prior knowledge and experience will students have of collecting data? What prior knowledge and experience will students have of representing data? What prior knowledge will students need in order to effectively use the mean and the standard deviation of different datasets? What prior knowledge will students need in order to understand and apply the empirical rule and normal distribution?

Data Collection https://tinyurl.com/normaldata

Create a Histogram using GeoGebra Instructions: Each person will use a different set of data (Three in total) Follow the instructions in your booklets Look at the question in your booklet that is relevant to the data in your histogram. Questions: How does the shape of the histogram change as data is added? Look at another participant’s histogram, how does it compare to yours? What happens to the histogram when the column widths are decreased? What are the merits in using a larger amount of data?

Height

Foot Length

Arm Span

Discussion What is normal?

The Empirical Rule

Examination Question 2017 LCOL .

Reaction Time

Relationship to Syllabus

Discuss: A Constructivist Approach Do you think that students would have a better understanding of the Empirical Rule by discovering it in this way? Does this approach allow students to develop a better understanding of the relationship between the mean and the standard deviation and the distribution?

Task 2 - The Normal Distribution Learning Outcomes Understand some of the connections between statistics and probability. Recognise the benefit in using GeoGebra to support constructivist learning. Recognise the importance of using students’ prior knowledge from Junior Cycle to extend their learning at Senior Cycle. Develop an understanding of the properties of the normal distribution and the Empirical Rule. Understand the importance of linking the mean and standard deviations to the introduction of normal distribution.

Task 3 - Take Home Task Learning Outcomes Understand linear regression, correlation and causation. Identify the connections between linear regression, algebra, coordinate geometry and functions and the rich learning opportunities these present.

Relationship to Syllabus

Task 3 - Bivariate Data Step-by-Step instructions in booklet Feedback form on completion of task

Key messages It is important to build on students’ knowledge from Junior Cycle to extend their understanding of probability and statistics at Senior Cycle. Multiple representations of probability situations are important for sense making, for developing deep conceptual understanding and for developing adaptive thinking. Probability and Statistics are deeply connected.

Summary Evaluation Form https://tinyurl.com/ProbStatEvaluate Number questionnaire https://tinyurl.com/WS2NumberQuestions warrenmcintyre@pdst.ie