{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

PDB_Stat_100_Lecture_09

# PDB_Stat_100_Lecture_09 - STA 100 Lecture 9 Paul Baines...

This preview shows pages 1–12. Sign up to view the full content.

STA 100 Lecture 9 Paul Baines Department of Statistics University of California, Davis January 24th, 2011

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Admin for the Day I Homework 1 can be picked up today (in class or outside my office) I Midterm: Wednesday, Jan 26th, in class I No R or R Commander knowledge needed for this midterm I Closed book – one double-sided page of notes + calculator I Extra office hours: Mon 9.30-11.30am, Tues 10.00-11.00am
Admin for the Day I Homework 1 can be picked up today (in class or outside my office) I Midterm: Wednesday, Jan 26th, in class I No R or R Commander knowledge needed for this midterm I Closed book – one double-sided page of notes + calculator I Extra office hours: Mon 9.30-11.30am, Tues 10.00-11.00am References for Today: Rosner, Ch 4.1-4.12 (7th Ed.) References for Wednesday: Everything so far (Midterm)

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Topics for Today 1. Probability for discrete data 1.1 Genetics Example 1.2 Binomial Distribution 1.3 Probability Mass Functions 1.4 Random Variables 1.5 Mean and Variance 1.6 Computing Binomial Probabilities
Recap: Useful Rules Recall: AND = , OR = , GIVEN = | . Rule/Definition Formula Mutually Exclusive: P ( A or B ) = P ( A ) + P ( B ) Exhaustive: P ( A or B ) = 1 Addition Rule: P ( A or B ) = P ( A ) + P ( B ) - P ( A and B ) Complement: P ( A c ) = 1 - P ( A ) Independence: P ( A and B ) = P ( A ) × P ( B ) General AND: P ( A and B ) = P ( A ) × P ( B | A ) Bayes Rule: P ( B | A ) = P ( A B ) P ( A ) = P ( B ) P ( A | B ) P ( B ) P ( A | B )+ P ( B c ) P ( A | B c )

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Brief Recap A couple of common things that have come up: I Rule of thumb: SD Range/5 I Right-Skew: Mean > Median, Median closer to lower quartile I Left-Skew: Mean < Median, Median closer to upper quartile I Symmetric: Mean Median, Median half way between lower, upper quartiles I 0th-Percentile is the minimum value (by convention) I 100th-Percentile is the maximum value I IQR = Upper Quartile - Lower Quartile I Outlying values: LQ - 1.5*IQR, UQ + 1.5*IQR
Types of Data Remember the different types of data? Q: All the probability we have seen so far has been suitable for what type of data?

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Types of Data Remember the different types of data? Q: All the probability we have seen so far has been suitable for what type of data? A: Discrete data – mainly binary and ‘ k out of n ’ data. Examples: disease/no disease, guilty/not guilty, heads/tails, dice rolls, # of ginger children out of n . Today we add some more types of data to that list: ‘count’ data.
Genetics Recap Q: With two ( R , r ) parents, each child has a 1 / 4 probability of being a ginger. If the parents have 2 children what is the probability that they will both be gingers?

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Genetics Recap Q: With two ( R , r ) parents, each child has a 1 / 4 probability of being a ginger. If the parents have 2 children what is the probability that they will both be gingers? A: Requires first child AND second child to be ginger: P ( 1st child is ginger 2nd child is ginger ) = = P ( 1st child is ginger ) x P ( 2nd child is ginger ) [the above requires independence] = 1 4 x 1 4 = 1 / 16 .
Genetics Recap Q: With two ( R , r ) parents, each child has a 1 / 4 probability of being a ginger. If the parents have 2 children what is the probability that they will both be gingers?

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

### Page1 / 69

PDB_Stat_100_Lecture_09 - STA 100 Lecture 9 Paul Baines...

This preview shows document pages 1 - 12. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online