What STATISTICS can do? - PowerPoint PPT Presentation

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What STATISTICS can do?

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What STATISTICS can do?----some examples zwp_at_ustc.edu.cn (O) 3600565 -----A Modern Introduction to Probability and Statistics: – PowerPoint PPT presentation

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Title: What STATISTICS can do?


1
What STATISTICS can do?
  • ----some examples
  • ? ? ?
  • zwp_at_ustc.edu.cn
  • (O) 3600565

????? -----A Modern Introduction to Probability
and Statistics Understanding Why and How,
Springer, 2005
2
What is Statistics?
  • American Heritage Dictionary ??,
    ??????????????, ????????????????.
  • ???????????, ??????????????. ??????????????????.

3
????????
  • ???????????????????,????????????
  • ???????????,????????????,??Galton???????????,????
    ??????
  • ??????????????????????????????????????????

4
????????
  • ??????
  • ?????---?????????????????
  • ?????????
  • ????????
  • ??????
  • ?????????
  • ?????????????
  • ????

5
?? Economics, Engineering, Marketing, Computer
Science
???? Astronomy, Chemistry, Physics
?? ??
???? Genetics, Clinical Trials, Epidemiology, Phar
macology
?? Agriculture, Ecology, Forestry, Animal
Populations
?? Census, Law, National Defense
6
Ex1 ?????
  • 1932-1998
  • ?????
  • ?????
  • ?????
  • ???

7
  • ???1998???????13???,2002?2????????????,????2002???
    ????
  • ????2002?????????34?,????????
  • 2006????????????,2002????????12,????2006???????,?
    ?95?????

8
  • ????????????vs??????(???????),??Poisson??
    (?????????????????)?

9
  • ??1998???13?,2002??????????16?(??Poisson??????)?
  • ???????34?,???????????????0.000065,??2002????????
    ??????????,?????????????

10
  • 2002??????12?,?1998?????,2006??????14.7?,95?????
    8,23
  • ????,???2006?????????????11???,????????12?(???????
    ?????????????),????20.
  • ???2006?????????26???,????1998?????????????!

11
Ex2 ?????
  • ?????????

12
  • ??
  • ????
  • ????????
  • ???? 49.294,
  • 95?????41.05171, 57.50797.

13
Ex3 Killer football
  • Cardiovascular(????) mortality in Dutch men
    during 1996 European football championship
    longitudinal population study, 2000,British
    Medical Journal,3211552-1554
  • ????6?22??????????????????????!

14
  • ?????????????????????????????6?22???????????(?????
    )???????????????
  • ????????????????!

15
95????
???????6?17?6?27????????????,????? ????????95????
?????????????????
16
Ex4 ?????
  • E.S. Pearson ? 18931898 ????????n1375?65??????1
    8??????????, Pearson and Lee (1903) ??????,??
  • ????????????????????????

17
????http//mil.qianlong.com/4919/2003/09/21/42_at_16
05800.htm
18
  • ??????
  • Dheight 30.48690.5326Mheight
  • ????????63.78 inches (162cm), ??????????(163.7cm)
  • 64.4561330.48690.532663.78
  • ???, ???95?????152.3cm, 175.14cm

19
Ex5???????
  • ????,?????????????????????????????????
  • ???????????????????????
  • ??????????????,?????????????????????????,????????
    ?????????????

20
  • ??????????????,???????????
  • ?????????
  • ????
  • ???
  • ?????????,?????????????

21
  • ???????????????????????????????
  • ???????????????????????
  • ??????????????????????????,???????????????????????
    ??

22
  • ??????????????????????????????
  • ???????????????????,??????????????????12???,??????
    ???3-6???

23
?????????????????
24
  • ???????????????????????????
  • ???,???????????1????????N,????????????
  • ?????????????????????????N????

25
  • ????1939?1943???,??5??????1400???,????????????
  • ?????1943???????????????????,?????????????????????
    ????????,???????????,?????????????????90 0000
    ?120 0000!

26
An Empirical Approach to Economic Intelligence in
World War II Richard Ruggles, Henry Brodie,
JASA, Vol. 42, No. 237 (Mar., 1947), pp. 72-91
27
Ex6????
  • 1983?????????----?????(?)?1/299792458?????????
    ??????????
  • ???????????(?)???!

28
  • ????????????????????
  • Albert Michelson ?1879??6??7??????????????????,???
    ???????

29
  • ??????????,????????????????,???????????????
  • ????????,???????????,?????????????????????,??????
    ????

30
  • ?Michelson???,?????????300000 km/s,?????????????!
  • ?????Michelson?????

31
(No Transcript)
32
  • ?????????
  • Distance
  • Radius
  • Displacement
  • Revolutions per seconds (rps)
  • ????????????!?????????????????!

33
  • Michelson???distance???2000??,?????????100????????
    ????????????100.006??(????)?????5?,?????1984.94?19
    85.17????,?????????true distance?(??????)!
  • ??????????!???????(???,????)?299 944 /- 51 km/s

34
  • ??Michelson??????,??????????!
  • ??????????????????95?????299 944/-15.5km/s!

http//en.wikipedia.org/wiki/Albert_Abraham_Michel
son
35
Ex7??????
  • ????????????

36
  • ???? N ????????(??1),??????????? n,???????? S
    ????? n/N ?? (N???)
  • n/N ? S
  • (????)???????????? n ??????,??????????, ???? a
    ???????,???????? m ,???? n/ma ??S????

37
Ex8 Benford??
  • ??????,?????1,2,..,9??????,???1/9
  • ?????????,??????,???????????????? ,???? Benford??

??? 1 2 3 4 5 6 7 8 9
?? 0.301 0.176 0.125 0.097 0.079 0.067 0.058 0.051 0.046
38
  • Benford???Newcomb(1881)?Benford(1938)?????????
  • ????k????
  • P(???k)log10(11/k),k1, 2,..., 9
  • ??????????????????
  • ?? ????????????????????????

39
  • ?. Standard Poors (SP)?500?Index??????????(
    1986.1.2 1995.12.29 )?????????Benford???

??? 1 2 3 4 5 6 7 8 9
?? 735 432 273 266 200 175 169 148 126
??? 760 445 315 245 200 169 146 129 116
--- ???(Pearson)????????????
40
Ex 9 ???????
  • ????(spam)??????????????. ????,???????????????????
    ????????.

41
Problem examples
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42
How to fight? (techniques)
  • ????
  • if SENDER contains schacht ACTIONINBOX
  • if SUBJECT contains Win ACTIONDELETE
  • if BODY contains Viagra ACTIONDELETE
  • ?? static rules, language dependent, how many
    rules, and who should define them?
  • ???????????(??)?
  • Decision Trees
  • Support Vector Machines
  • Naïve Bayes Classifier
  • ?? when no features can be extracted??? Error
    loss?

43
Model overview
  • Flow (training/test)

??
??
??????
??
Email?
Spam?
??
44
????
  • ?????A???B?????
  • P(B A) P(AB) P(B) / P(A)

SPAM
EMAIL
A
Feature set
B
P that A and B occurred together
Calculate P that these features belong to SPAM or
EMAIL class
45
Results
46
  • More Amazing Applications of Probability and
    Statistics, visit
  • http//www.intuitor.com/statistics/ or
  • Search Google
  • Read How to lie with statistics
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