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Statistics 101 | my study notes

my study notes

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Statistics 101 | my study notes | maggielinyu.wordpress.com Reviews
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my study notes
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2 lost in mall
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Statistics 101 | my study notes | maggielinyu.wordpress.com Reviews

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my study notes

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1

Barnsley’s Fern in R | Statistics 101

https://maggielinyu.wordpress.com/2012/02/25/barnsleys-fern-in-r

Barnsley’s Fern in R. Capital of Statistics is going to hold the 5th annual R Conference in May and they wanted to design a set of Poker as Souvenirs, having some statistical graphics and some famous statisticians printed on them. I plotted a beautiful fractal Fern in R, using the recursive formula that given in wikipedia. A master student in Actuarial Science @ University of Western Ontario in Canada Contact: maggielinyu@gmail.com. View all posts by Maggie →. Posted in Statistical graphic.

2

Head First Statistics | Statistics 101

https://maggielinyu.wordpress.com/2012/05/20/head-first-statistics

Last year I volunteered as the Manuscript Examiner of the Chinese translation of Head First Statistics, and it is finally published. I put forward some useful suggestions regarding the mistakes in the translation and as a result I was thanked in the translator’s preface. I wish I could have more opportunities like this in the future. A master student in Actuarial Science @ University of Western Ontario in Canada Contact: maggielinyu@gmail.com. View all posts by Maggie →. Posted in Statistical graphic.

3

Lost in Mall | Statistics 101

https://maggielinyu.wordpress.com/2012/05/21/lost-in-mall

Someone sent me a very interesting data mining problem. Which is to locate Jessica’s cell phone by asking strangers in the mall: “Where did you see Jessica when she was making a phone call? All of the strangers that we talk to tell us where they thought Jessica was. But, some people may not be remembering correctly, and some people may be just plain wrong. If we have each stranger’s guess, how can we infer where Jessica was really standing when she made the call? However, the rjson. Par(mfrow = c(1,2).

4

Leslie Matrix | Statistics 101

https://maggielinyu.wordpress.com/2012/05/21/leslie-matrix

Is the population of each age class x. Is the survival probability,. Is the female ratio among the population. Is the average number of baby born for each female at age x, which can reflect the one child policy in China. Is the fertility rate. Therefore, at time t 1, the population of the new born is. Where w is the maximum age attainable in our population. This can be written as,. One Child Policy in China. To model the impact of the One Child Policy in China, we can easily change the vector. Represents...

5

February | 2012 | Statistics 101

https://maggielinyu.wordpress.com/2012/02

Monthly Archives: February 2012. Barnsley’s Fern in R. Capital of Statistics is going to hold the 5th annual R Conference in May and they wanted to design a set of Poker as Souvenirs, having some statistical graphics and some famous statisticians printed on them. I plotted a beautiful fractal Fern in R, using the recursive formula that given in wikipedia. Posted in Statistical graphic. Valentine’s Gift In R. This post was included in Capital of Statistic. When constructing a viewport, we need to set its ...

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Statistics 101 | my study notes

Someone sent me a very interesting data mining problem. Which is to locate Jessica’s cell phone by asking strangers in the mall: “Where did you see Jessica when she was making a phone call? All of the strangers that we talk to tell us where they thought Jessica was. But, some people may not be remembering correctly, and some people may be just plain wrong. If we have each stranger’s guess, how can we infer where Jessica was really standing when she made the call? However, the rjson. Par(mfrow = c(1,2).

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