26

Assume a binomial distribution has p = ½. Let’s look at some of its probability

  • Upload
    bat

  • View
    27

  • Download
    0

Embed Size (px)

DESCRIPTION

Assume a binomial distribution has p = ½. Let’s look at some of its probability distributions for a variety of numbers of trials. n = 3. n = 5. n = 10. n = 25. n = 50. n = 100. Hey! What about ME?!?!?!?!. - PowerPoint PPT Presentation

Citation preview

Page 1: Assume a binomial distribution has   p =   ½.   Let’s  look at some of its  probability
Page 2: Assume a binomial distribution has   p =   ½.   Let’s  look at some of its  probability
Page 3: Assume a binomial distribution has   p =   ½.   Let’s  look at some of its  probability

Assume a binomial distribution has p = ½. Let’s look at some of its probability

distributions for a variety of numbers of trials...

Page 4: Assume a binomial distribution has   p =   ½.   Let’s  look at some of its  probability

n = 3

Page 5: Assume a binomial distribution has   p =   ½.   Let’s  look at some of its  probability

n = 5

Page 6: Assume a binomial distribution has   p =   ½.   Let’s  look at some of its  probability

n = 10

Page 7: Assume a binomial distribution has   p =   ½.   Let’s  look at some of its  probability

n = 25

Page 8: Assume a binomial distribution has   p =   ½.   Let’s  look at some of its  probability

n = 50

Page 9: Assume a binomial distribution has   p =   ½.   Let’s  look at some of its  probability

n = 100

Page 10: Assume a binomial distribution has   p =   ½.   Let’s  look at some of its  probability
Page 11: Assume a binomial distribution has   p =   ½.   Let’s  look at some of its  probability
Page 12: Assume a binomial distribution has   p =   ½.   Let’s  look at some of its  probability
Page 13: Assume a binomial distribution has   p =   ½.   Let’s  look at some of its  probability
Page 14: Assume a binomial distribution has   p =   ½.   Let’s  look at some of its  probability
Page 15: Assume a binomial distribution has   p =   ½.   Let’s  look at some of its  probability
Page 16: Assume a binomial distribution has   p =   ½.   Let’s  look at some of its  probability

Hey! What about

ME?!?!?!?!

Page 17: Assume a binomial distribution has   p =   ½.   Let’s  look at some of its  probability
Page 18: Assume a binomial distribution has   p =   ½.   Let’s  look at some of its  probability

Some Means and Standard Deviations of some Normally Distributed (“bell – shaped”) Data Sets!

American Newborn Weight 7.5 pounds 1.3 pounds

• A former student weighed 2.3 pounds at birth. How many standard deviations below average was she?

• How about on the other end of the spectrum?

Page 19: Assume a binomial distribution has   p =   ½.   Let’s  look at some of its  probability

Some Means and Standard Deviations of some Normally Distributed (“bell – shaped”) Data Sets!

American Newborn Weight

(2.3 #? Guinness?)7.5 pounds 1.3 pounds

Hardwood Tree Heartwood Diameter 4 cm 1.8 cm

Average Life Expectancy American Male (sample of size n=100) 76 years 1.5 years

Life Expectancy American Female (sample of size n=100)

78 years 1.5 years

Standard normal (unitless!) 0 1

Page 20: Assume a binomial distribution has   p =   ½.   Let’s  look at some of its  probability

• Adult IQ is normally distributed with a mean of 100 and a standard deviation of 15. What percent of adults are “dull normal” (that is, have an IQ between 80 and 90)? It’s a slightly antiquated term, but let’s go with it for now.

Page 21: Assume a binomial distribution has   p =   ½.   Let’s  look at some of its  probability
Page 22: Assume a binomial distribution has   p =   ½.   Let’s  look at some of its  probability

1972 times (minutes) 2008 times (minutes)

time timeSpitz 2.012 Phelps 1.867Hall 2.048 Laszlo 1.878

Backhaus 2.054 Takeshi 1.883Delgado 2.077 Moss 1.906

Fassnacht 2.078 Peng 1.906Hargitay 2.078 Pawel 1.910Flockner 2.089 Kaio 1.912Meeuw 2.093 Nikolay 1.919

1972 =

2.066 2008 =

1.898

1972 =

0.027 2008 =

0.019

Men’s 200 meter butterfly (finals)

Page 23: Assume a binomial distribution has   p =   ½.   Let’s  look at some of its  probability

Spitz z – score Phelps z – score100 fly –1.68 –1.4

200 free –1.34 –1.92

Page 24: Assume a binomial distribution has   p =   ½.   Let’s  look at some of its  probability
Page 25: Assume a binomial distribution has   p =   ½.   Let’s  look at some of its  probability

• What percent of adults are “dull normal” (that is, have an IQ between 80 and 90)?

• What percent of adults are “extremely low” (that is, have an IQ below 70)? This is the “MII” range’s new labeling.

• What do you have to score to get into MENSA?

Page 26: Assume a binomial distribution has   p =   ½.   Let’s  look at some of its  probability

The length of human pregnancies from conception to birth varies (roughly) according to a distribution that is approximately normal with a mean of 266 days and a standard deviation of 16 days.

• What is the cutoff for the shortest 5% of all pregnancies? This is P5, and births shorter than these are called premature births.

• Labor is usually induced if an expectant mother has exceeded her due date by 2 weeks. Find the probability that a pregnancy will last more than 2 weeks past the due date.