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STA Dept. Info University of Florida (UF)'s STA department has 69 courses in Course Hero with 3792 documents and 82 answered questions.

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    University of Florida (UF)
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    Staff, MeghanMocko, MARIARIPOL, Franklin,SusanR, Gentimis, Gordon, chuanwang, Athienitis, ANANYAROY, Yusuf, Randles,RonaldH, Weiner, Doss,DeborahBurr, Stevens, TrevorPark, Khare,Kshitij, Presnell,BrettDouglas, Joo, Zhang,L, Christman,MaryC, Khuri, Hobert,JamesP, Thanos, Berg,A, Dathien, Computer, Mukherjee, Larry Winner, Daniels,MichaelJoseph, Winner,LawrenceHerman, Casella, Hare, Yang,MarkC, Agresti,AlanG, Casella,George, LarryWinner, LindaYoung, Ghosh,Malay, Rosalsky,AndrewJ, QUI, CumhurYusufDemirkale
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69

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STA Documents

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  • 2 pages CaseChapter2BinomialDistribution.doc
    • CaseChapter2BinomialDistribution.doc
    • University of Florida
    • Elementary Statistics for Health and Science Majors
    • STA 2014 - Fall 2010
    • Case Study WTVX WTVX, Channel 6, is located in Eugene, Oregon, home of the Universitys of Oregons football team. The station was owned and operated by George Wilcox, a former Duck (University of Oregon football player). Although there were other televisio
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    CaseChapter2BinomialDistribution.doc

  • 1 pages Chapter10discussion.docx
    • Chapter10discussion.docx
    • University of Florida
    • Elementary Statistics for Health and Science Majors
    • STA 2014 - Fall 2010
    • ST 3163 1. In your own words, what is meant by the statement that correlation does not imply causality (Section 10-2)? Correlation occurs when values of a variable are somehow associated with the values of another variable. However, one must not assume th
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    Chapter10discussion.docx

  • 19 pages Quiz 5-version1.2-2.pdf
    • Quiz 5-version1.2-2.pdf
    • University of Florida
    • STA 6167 - Fall 2017
    • Quiz 5 View the data at https:/openmv.net/info/travel-timesLinks to an external site. a. b. Use "Fuel Economy" as the response and fit an adequate regression model with only significant predictors. You can ignore "Start Time" from the data. Note there are
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    Quiz 5-version1.2-2.pdf

  • 6 pages quiz4-6.pdf
    • quiz4-6.pdf
    • University of Florida
    • STA 6167 - Fall 2017
    • Quiz 4 1. For the wool fiber example (Links to an external site.)Links to an external site. we found that the trt:rev interaction is significant. Create 95% Tukey pairwise comparisons for comparing a. Different revs within same treatment b. Different trt
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    quiz4-6.pdf

  • 3 pages Quiz 2.pdf
    • Quiz 2.pdf
    • University of Florida
    • STA 6167 - Fall 2017
    • QUIZ 2 Mohit Israni (43384979) 1. Model : = + + + + ~(0, 2 ) = 1 4 = 1 4 = 1 4 Blend is the treatment And Driving Mechanisms and CarModels are Blocks The problem is solved using Latin Square Design 2. The data is created as follows: latin=function (
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    Quiz 2.pdf

  • 3 pages Quiz8-5.pdf
    • Quiz8-5.pdf
    • University of Florida
    • STA 6167 - Fall 2017
    • STA6167 Quiz8 Mengyuan Huang > Student = factor(rep(1:6,each = 3) > Exam = rep(1:3,6) > Score = c(81,79,70, 84,81,83, 87,82,86, + 87,85,78, 82,81,84, 98,93,90) > data = data.frame(Book,Student,Exam,Score) > library(gee) Warning message: package ee?was bui
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    Quiz8-5.pdf

  • 6 pages Quiz 3.pdf
    • Quiz 3.pdf
    • University of Florida
    • STA 6167 - Fall 2017
    • Quiz 3 Mohit Israni 4338 4979 (a) The data is of Nested Design Since every instructor comes in only one of the cities (it is also Balanced Nested design) We note that instructors are nested within Cities design of form = + + () + > xtabs(~city+instructo
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    Quiz 3.pdf

  • 3 pages quiz1-2.pdf
    • quiz1-2.pdf
    • University of Florida
    • STA 6167 - Fall 2017
    • 1. attach(prob0635) > Group=factor(Group) > trt1=aov(gplevel~Group) > anova(trt1) Analysis of Variance Table Response: gplevel Df Sum Sq Mean Sq F value Pr(>F) Group 3 917.56 305.853 6.2899 0.001235 * Residuals 43 2090.91 48.626 -Signif. codes: 0 * 0.001
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    quiz1-2.pdf

  • 2 pages Quiz6-3.pdf
    • Quiz6-3.pdf
    • University of Florida
    • STA 6167 - Fall 2017
    • Quiz 6 Mohit Israni UFID 4338 4979 (a) The logistic model can be fit as below: > tumor.logit=glm(cbind(Present,Absent)~Amount,family=binomial(link=logit) > summary(tumor.logit) Call: glm(formula = cbind(Present, Absent) ~ Amount, family = binomial(link =
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    Quiz6-3.pdf

  • 2 pages Quiz7.pdf
    • Quiz7.pdf
    • University of Florida
    • STA 6167 - Fall 2017
    • 1. Fit the crab data into a Poisson Regression 2. See if there overdispersion We saw that the output is larger than one, but still unsure, we fit the negative binomial model just in case.
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    Quiz7.pdf

  • 5 pages Activity 1 Stats.pdf
    • Activity 1 Stats.pdf
    • University of Florida
    • INTRO TO STATISTICS 1
    • STA 2023 - Spring 2014
    • Activity 1 Langston Dunbar Fitted Line Plot Price = 11539885 - 107440 Age (years) 14000000 S R-Sq R-Sq(adj) 12000000 2946396 39.0% 35.6% 10000000 Price 8000000 6000000 4000000 2000000 0 20 30 40 50 60 70 80 90 100 110 Age (years) There is a fairly-strong
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    Activity 1 Stats.pdf

  • 3 pages Activity 2 Stats.pdf
    • Activity 2 Stats.pdf
    • University of Florida
    • INTRO TO STATISTICS 1
    • STA 2023 - Spring 2014
    • Activity 2 Test and CI for Two Proportions Sample 1 2 X 1126 672 N 1843 1828 Sample p 0.610960 0.367615 Difference = p (1) - p (2) Estimate for difference: 0.243346 95% CI for difference: (0.211977, 0.274714) Test for difference = 0 (vs 0): Z = 14.75 P-Va
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    Activity 2 Stats.pdf

  • 2 pages stat activity 2.docx
    • stat activity 2.docx
    • University of Florida
    • STA 1 - Spring 2008
    • Nayelie Ferne Statistic 2023 Michael law Activity 2 1. What is the question of interest? Have you ever been widowed. 2. Are the assumptions for the confidence interval satisfied? Verify. Assumptions The data is from a random sample because I used GSS.
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    stat activity 2.docx

  • 48 pages Notes3.pdf

    Notes3.pdf

  • 15 pages Notes4.pdf

    Notes4.pdf

  • 24 pages missingdata.pdf
    • missingdata.pdf
    • University of Florida
    • STA 6167 - Fall 2017
    • Missing Data July 11, 2017 Contents Contents 1 An 1.1 1.2 1.3 1.4 1.5 1 Introduction to Missing Data Types of Missing Data . . . . . . . Causes of Missing Data . . . . . . . Simple Solutions . . . . . . . . . . What About Multiple Imputation? Comparable M
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    missingdata.pdf

  • 4 pages Probs2.pdf
    • Probs2.pdf
    • University of Florida
    • ENGINEER STATISTICS
    • STA 3032 - Spring 2014
    • Practice Problems- Set 2 STA 3032 May 24, 2017 Question 2.3.2. Let A and B be events with P(A) = 0.5 and P (A B c ) = 0.4. For what value of P(B) will A and B be independent? Question 2.3.8. A drag racer has two parachutes, a main and a backup, that are d
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    Probs2.pdf

  • 16 pages 100 Problems
    • 100 Problems
    • University of Florida
    • INTRO TO STATISTICS 2
    • STA 3024 - Spring 2014
    • REMARK 1: These practice problems are not meant to look exactly like the actual exam, and this is not the only thing that you should study. The exam material will be similar, and these problems will help to reinforce the material, but they are not meant t
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    100 Problems

  • 25 pages Notes2

    Notes2

  • 9 pages Notes1

    Notes1

  • 142 pages Statistic
    • Statistic
    • University of Florida
    • STA 6166 - Fall 2017
    • An Introduction to Statistics Demetris Athienitis Department of Statistics, University of Florida Contents Contents 1 I 4 Modules 1-2 1 Descriptive Statistics 1.1 Concept . . . . . . . . . . . . . . . 1.2 Summary Statistics . . . . . . . . . 1.2.1 Locatio
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    Statistic

  • 5 pages syllabus_6167
    • syllabus_6167
    • University of Florida
    • STA 6167 - Fall 2017
    • STA 6167 Summer 2017 (section 4331) Statistical Methods in Research II MTWRF 2nd period 09:30-10:45, FLO 100 Instructor: Demetris Athienitis Office: E-mail: Griffin Floyd 116B [email protected] Teaching Assistant: TBA Office: E-mail: Course Website: e-Lear
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    syllabus_6167

  • 20 pages Homework 8 Soln

    Homework 8 Soln

  • 11 pages Homework9 Soln
    • Homework9 Soln
    • University of Florida
    • Introduction to Probability / Fundamentals of Probability
    • STA 4321/5325 - Spring 2010
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    Homework9 Soln

  • 2 pages Homework9_new
    • Homework9_new
    • University of Florida
    • Introduction to Probability / Fundamentals of Probability
    • STA 4321/5325 - Spring 2010
    • Homework 9, STA4321 Due 4/23 11:59 pm April 18, 2017 Recall: We will only do Canvas submission, no paper or email hand ins. 1. Let X and Y be random variables with finite variances, and let W = Y E(Y |X). This is a residual: the difference between the tru
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    Homework9_new

  • 6 pages Homework7 soln
    • Homework7 soln
    • University of Florida
    • Introduction to Probability / Fundamentals of Probability
    • STA 4321/5325 - Spring 2010
    • Homework 7, STA4321, Due 4/3 5:00pm April 4, 2017 Recall: We will only do Canvas submission, no paper or email hand ins. 1. Let X have the pdf: 1 f (x) = (1 + x), 1 < x < 1 2 (a) Find the CDF of Y = X 2 (b) What is the set of possible values of the r.v. Y
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    Homework7 soln

  • 1 pages solution of quiz 8

    solution of quiz 8

  • 3 pages homework6 soln
    • homework6 soln
    • University of Florida
    • Introduction to Probability / Fundamentals of Probability
    • STA 4321/5325 - Spring 2010
    • Homework 6, STA4321, Due 3/18 11:59pm March 23, 2017 From now on we will only do Canvas submission, no paper or email hand ins. This homework counts as two. Because it is longer than usual. Note the changed time due time. 1. The Rayleigh distribution has
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    homework6 soln

  • 3 pages Homework 8
    • Homework 8
    • University of Florida
    • Introduction to Probability / Fundamentals of Probability
    • STA 4321/5325 - Spring 2010
    • Homework 8, STA4321 Due 4/12 8:00 pm Recall: We will only do Canvas submission, no paper or email hand ins. 1. Two fair six-sided dice are rolled (one green and one orange), with outcomes X and Y respectively for the green and the orange. (a) Compute the
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    Homework 8

  • 1 pages solution of quiz 7
    • solution of quiz 7
    • University of Florida
    • Introduction to Probability / Fundamentals of Probability
    • STA 4321/5325 - Spring 2010
    • Quiz 7 19 April, 2107 Question: Let U ~ Uniform[0, 1] and X = 5 log(U). What are the possible values of X? Find the CDF of X. Can you identify the name and the parameter of distribution of X? gtmow m 72mm mlmiof u s- [all]. So a 19099519. 7171142: Dj y 7:
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    solution of quiz 7

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