Fitting data collection into your Stats lessons
Description: Fitting data collection into your Stats lessons Jared Hockly Data collection 1 Groups of about 4. Plan a quick data collection that would help you answer: Does the size of a scrunched piece of paper affect how far we can flick it? Quickly
Related Topics
Download Presentation
"Fitting data collection into your Stats lessons" is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
Presentation Transcript
slide1. Fitting data collection into your Stats lessons Jared Hockly<br>
slide2. Data collection 1 Groups of about 4.
Plan a quick data collection that would help you answer:
Does the size of a scrunched piece of paper affect how far we can flick it?
Quickly note down some details of your plan. Then collect some data.<br>
slide3. Describe the interesting features in this data ( not asking for an inference) Page 350 of Gamma mathematics<br>
slide4. Census at school data Students will be better prepared to analyse www.censusatschool.co.nz data if the’ve done data collection for it before.
Statsnz has some great data sets for use, but students may struggle to make the connections we’re hoping they will.<br>
slide5. Intermission Why don’t we do as much data collection as we should.
Why should we find more opportunities to do it?<br>
slide6. Position - Time spent on data collection will pay for itself It is a natural way to develop contextual knowledge.
I believe student are more able to justify and show statistical insight when they have regularly participated in (and planned) data collection
Our 1.11 topics is taught to year 10s in the last part of term 4 (now)
Our unit plan is to basically cycle through multiple investigations. A good range. Obviously have some skills taught along the way.<br>
slide7. Learn from errors with data collection Design poor data collection yourself. Teach students to be critical
When you design data collection for the class, ask them why you might of made the decisions you did.
PPDAC->PPDAC<br>
slide8. Data collection 2 Guessmyage.net
Set up a little table. I’ll show you a series of pictures, you have to guess their age also note down whether they were male or female. When you see their actual age figure out how wrong you were.
Before we start, is there anything else we want to record for each datapoint we collect.<br>
slide9. NCEA<br>
slide10. nzc<br>
slide11. Generating a sample (or full) dataset with your class Divide and conquer to get a decent dataset
(sample) www.Randomfbusers.com - randomly generates for you
Sampling from an online list (google play top 500)
Oscars http://teaching.statistics-is-awesome.org
http://www.forbes.com/lists/
Top 100 games, most followed twitter accounts …<br>
slide2. Data collection 1 Groups of about 4.
Plan a quick data collection that would help you answer:
Does the size of a scrunched piece of paper affect how far we can flick it?
Quickly note down some details of your plan. Then collect some data.<br>
slide3. Describe the interesting features in this data ( not asking for an inference) Page 350 of Gamma mathematics<br>
slide4. Census at school data Students will be better prepared to analyse www.censusatschool.co.nz data if the’ve done data collection for it before.
Statsnz has some great data sets for use, but students may struggle to make the connections we’re hoping they will.<br>
slide5. Intermission Why don’t we do as much data collection as we should.
Why should we find more opportunities to do it?<br>
slide6. Position - Time spent on data collection will pay for itself It is a natural way to develop contextual knowledge.
I believe student are more able to justify and show statistical insight when they have regularly participated in (and planned) data collection
Our 1.11 topics is taught to year 10s in the last part of term 4 (now)
Our unit plan is to basically cycle through multiple investigations. A good range. Obviously have some skills taught along the way.<br>
slide7. Learn from errors with data collection Design poor data collection yourself. Teach students to be critical
When you design data collection for the class, ask them why you might of made the decisions you did.
PPDAC->PPDAC<br>
slide8. Data collection 2 Guessmyage.net
Set up a little table. I’ll show you a series of pictures, you have to guess their age also note down whether they were male or female. When you see their actual age figure out how wrong you were.
Before we start, is there anything else we want to record for each datapoint we collect.<br>
slide9. NCEA<br>
slide10. nzc<br>
slide11. Generating a sample (or full) dataset with your class Divide and conquer to get a decent dataset
(sample) www.Randomfbusers.com - randomly generates for you
Sampling from an online list (google play top 500)
Oscars http://teaching.statistics-is-awesome.org
http://www.forbes.com/lists/
Top 100 games, most followed twitter accounts …<br>