Limited time offer 20% OFF StudySoup Subscription details

UF - STA 3032 - Engineering Stats 3032 EXAM 2 Typed Study GUIDE -

Created by: Maria Meza Elite Notetaker

> > > > UF - STA 3032 - Engineering Stats 3032 EXAM 2 Typed Study GUIDE -

UF - STA 3032 - Engineering Stats 3032 EXAM 2 Typed Study GUIDE -

School: University of Florida
Department: Math
Course: STA 3032
Professor: Ramon Littell
Term: Fall 2015
Tags: R-code, confidence intervals, Test-statistics, and Common_discrete_Distributions
Name: Engineering Stats 3032 EXAM 2 Typed Study GUIDE
Description: This study guide covers what will be on the next exam: Common Discrete Distributions Hypothesis Tests Confidence Intervals R-code There is also a hand written version included that makes everything easy to memorize it also explains when to use r code. It includes the topics covered in today's review session too!
Uploaded: 03/05/2018
This preview shows pages 1 - 3 of a 11 page document. to view the rest of the content
background image Exam 2 study guide- class notes 43- TBD Keywords Common Discrete Distributions: Bernoulli: (X~Bernoulli P) will the result x be: yes or no X= 1 success; Eq: p X=0 failure; Eq: (1-p) PMF: p(x)=  1− p ¿ 1− x P x ¿ P is Between 0 and 1 E(x)= P Variance: V(x)= p(1-p) Binomial: (X~(n, p): P how many times x occurs x = success n= number if trials (Each trial is independent) p= success probability PMF: p(x)  ( n
x
) p x ( 1− p ) n− x E(X): np V(X): np(1-p) At most :  ------------Part2 of Binomial’s for  ^ P value ---: find probability at least that there are at least x results out of given trials-- ^ P/n  : proportion of success (^) = p (^) p ( 1− p ) n R: Pbinom (x,n,p) Geometric: X~ Geom( p ) p trials needed to get to X get result.
background image PMF: p(x) = p ( 1− p ) x−1 E(X) = 1/p V(x)=  ( 7− p ) P 2 R: dgeom(4,p) *failures before succes* Negative Binomial: X~ NB(r,p) number of trials up to rth success, including r. PMF:  p ( x ) = ( x−1
r−1
) p r ( 1− p ) xr E(X): r/p V(X) =  r ( 1− p ) p 2 R: dbinom (x,r,p) *  sum of geometric* Poisson: X~ Poisson ( λ ). Occurrence over time PMF: P(x)=  λ x λ x! E(x)=V(x) R: dpois( λ x t) -------------- Estimated Value  ^ λ -------------------------- ^ λ  = X/t ^ σ = ^ λ T Uniform: X~Uniform [a,b] P= integrate PDF PDF: f(x) = 1/(b-a) E(X): (a+b)/2
background image V(X):  ( ba ) 2 12 R: 1-punif (a,,b) Normal:  Anything can be normal if you have a lot of trials X~ N  ( μ ,σ 2 ) . PDF: f(x)=  1 σ π 1 2σ 2 ( x− μ ) 2 Random Variable Form: Multiply by  σ  add  μ E(x)=  μ   V(x)= σ 2 --------Standard Normal: Z~N (0,1)-------------- CDF: get in standard form, split, R Standard Normal:  z= xμ σ Example: Standard Normal Form:           1. Subtract  μ  from everything                                        2. divide everything by σ                                             Split:                       p(a ¿ Z ¿ b)= b-a R:                      pnorm(a) -pnorm (b) R: pnorm(a) -pnorm (b) R(shortcut if values are given): qnorm( p,b,a) Mean = 0 Variance = 1 E(x)= b V(x) =  a 2 Central Limit Theorem  ´ x N ( μ , σ 2 n )

This is the end of the preview. Please to view the rest of the content
Join more than 18,000+ college students at University of Florida who use StudySoup to get ahead
11 Pages 27 Views 21 Unlocks
  • Better Grades Guarantee
  • 24/7 Homework help
  • Notes, Study Guides, Flashcards + More!
Join more than 18,000+ college students at University of Florida who use StudySoup to get ahead
School: University of Florida
Department: Math
Course: STA 3032
Professor: Ramon Littell
Term: Fall 2015
Tags: R-code, confidence intervals, Test-statistics, and Common_discrete_Distributions
Name: Engineering Stats 3032 EXAM 2 Typed Study GUIDE
Description: This study guide covers what will be on the next exam: Common Discrete Distributions Hypothesis Tests Confidence Intervals R-code There is also a hand written version included that makes everything easy to memorize it also explains when to use r code. It includes the topics covered in today's review session too!
Uploaded: 03/05/2018
11 Pages 27 Views 21 Unlocks
  • Better Grades Guarantee
  • 24/7 Homework help
  • Notes, Study Guides, Flashcards + More!
Join StudySoup for FREE
Get Full Access to UF - STA 3032 - Study Guide - Midterm
Join with Email
Already have an account? Login here
×
Log in to StudySoup
Get Full Access to UF - STA 3032 - Study Guide - Midterm

Forgot password? Reset password here

Reset your password

I don't want to reset my password

Need help? Contact support

Need an Account? Is not associated with an account
Sign up
We're here to help

Having trouble accessing your account? Let us help you, contact support at +1(510) 944-1054 or support@studysoup.com

Got it, thanks!
Password Reset Request Sent An email has been sent to the email address associated to your account. Follow the link in the email to reset your password. If you're having trouble finding our email please check your spam folder
Got it, thanks!
Already have an Account? Is already in use
Log in
Incorrect Password The password used to log in with this account is incorrect
Try Again

Forgot password? Reset it here