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Click here

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Beautiful !

we could ask the learners to focus more on the text. in terms of vocabulary

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Very impressive TEDEd materials. The text you have chosen might be a little bit 'dry' for this topic - are you aiming at the male students? In that case it's a good text because otherwise they might feel alientated by the topic!! You could ask them to think about other situations where it might be strange to use 'statistical modelling' - the likelihood of getting a girlfriend in the next 5 years, the likelihood of getting into the career you want... etc. They could turn this in to a piece of reflective writing about 'probabilility'...

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So interesting! We really like the infographic!!!!!!

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absolutely thorough wall, and it has a lot of very high quality material, love it!

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The 9 Types of Crazy Wedding Goers | Visual.ly

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Your crazy Aunt Mildred, your man's party-loving college roommate, and the overzealous wedding photographer - just a few of the types of wedding g

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Use engaging videos on TED-Ed to create customized lessons. You can use, tweak, or completely redo any lesson featured on TED-Ed, or create lessons from scratch

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2.
Topic area that may motivate this group

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2.
Topic area that may motivate this group

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Romance, Gossip, Fashion, music, entertainment, travel

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(a) Target Student

Senior High School students (16-18 years old)

(b) Motivation for learning English

Entrance examination for universities, good mark of the school exam

Pass some English proficiency test

(c) What type of school/learning environment?

Usual type of school in Japan/Malaysia

30-40 students per class

5-6 hours per week

English is learnt as foreign language

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A statistically modelled wedding

http://www.bbc.co.uk/news/magazine-25980076

February 2014 , By Ruth Alexander, BBC News

It's the classic dilemma for anyone planning a wedding. The list of friends and family you'd like to invite is seemingly endless. Your budget is not, and neither is the venue's floor space. Could one couple have found a solution via statistical modelling; Damjan Vukcevic and Joan Ko ?

"So the challenge is to pick the right number of invitees .

The venue they had chosen could fit 110 comfortably.

The couple started to list all the people they might want to invite to their wedding. They divided them into four categories, depending on how far away they were and how firm the friendship was, and then estimated the probability that a guest in each category would show up

Damjan and Joan plugged the numbers into the spreadsheet, and then sent out 139 invitations in the expectation they would receive between 100 and 110 acceptances.

Their model gave a 95% prediction interval of 102-113 acceptances. It suggested the most likely result would be 106 attendees.

So how many people finally did show up? Exactly 105 - a triumph for statistical modelling!

Or maybe not. Because of the 105 people went to the wedding, only 97 had been on the original guest list and in the spreadsheet.

Damjan and Joan had made two sizeable statistical errors.

Firstly, they were too optimistic about how many people would accept their invitation. They assumed a 100% acceptance rate among the people living in their home town, which didn't turn out to be the case, and they were also surprised by how few of their overseas guests could make it.

Secondly, they didn't take account of the fact that there will always be people who weren't on the original list, who will come anyway.  (289 words)

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※　A part of the article is omitted.