MATH 6350 - PowerPoint PPT Presentation

1 / 13
About This Presentation
Title:

MATH 6350

Description:

MATH 6350. Distributions. Discrete. Binomial counts # of events in n trials. Geometric counts # of trials to the 1st event ... – PowerPoint PPT presentation

Number of Views:19
Avg rating:3.0/5.0
Slides: 14
Provided by: ginger6
Category:
Tags: math | calculator | free | math

less

Transcript and Presenter's Notes

Title: MATH 6350


1
MATH 6350
2
Distributions
  • Discrete
  • Binomial counts of events in n trials
  • Geometric counts of trials to the 1st event
  • Poisson counts of events in a set space or
    time
  • Continuous
  • Normal
  • Exponential
  • Gamma

3
Examples
  • Binomial
  • Assume that you have n trials and X counts the
    number of successes in these n trials,
  • X is binomial if
  • Each trials has two outcomes (success or failure)
  • The probability of success is the same for every
    trial
  • The trials are independent
  • The distribution of X is defined by
  • P(Xx) nCxpx(1-p)(n-x), for x 0, 1, 2,,
    n

4
Binomial
  • The binomial distribution of X is defined by
  • P(Xx) nCxpx(1-p)(n-x), for x 0, 1, 2,,
    n
  • Mean np
  • Variance np(1-p)

5
Binomial
  • Basketball Free Throws
  • Video Ex
  • http//www.stat.vt.edu/sundar/java/applets/BinDen
    sityApplet.html
  • Pick n p

6
When does the normal approximate the normal?
  • Use applet
  • Rule of thumb
  • npgt5 and n(1-p)gt5

7
Continuous Distribution
8
Continuous Example Normal
  • Normal
  • Mound shaped, symmetrical
  • Mean and standard deviation describe the
    distribution
  • Empirical Rule
  • Standard Normal (z)
  • Normal with mean 0 and st dev 1
  • Standard Normal Tables
  • Show TI-83 calculator, Minitab

9
Normal
  • Calculators
  • http//www.stat.sc.edu/west/applets/normaldemo.ht
    ml
  • Example pick mean, standard deviation, find
    probability

10
Distribution of the sample mean
  • Distribution of the sampling distribution of the
    sample mean
  • http//kitchen.stat.vt.edu/sundar/java/applets/CL
    T.html
  • Conclusions for sampling distribution
  • If n is large enough
  • Shape ____
  • Mean ____
  • St dev ______

11
Finding probabilities for sample means
  • Ex consider IQ scores with mean 100 st dev
    10
  • A) find probability that a randomly selected
    person has a score of 110 or higher
  • B) find the probability that the average IQ of 36
    randomly selected people is 100 or higher?

12
Confidence Intervals
  • That with repeated sampling thing
  • It works with means
  • http//www.ruf.rice.edu/lane/stat_sim/conf_interv
    al/index.html
  • Or proportions
  • http//kitchen.stat.vt.edu/sundar/java/applets/CI
    .html

13
(No Transcript)
Write a Comment
User Comments (0)
About PowerShow.com