• 6 Pages Homework 2 solutions
    Homework 2 Solutions

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Homework 2 (solutions) There are 20 total points (1 point for each part of each question). One question will be graded for correctness. This homework is due Thursday, February 10 in your lab section. 1. Dene the following terms and create

  • 7 Pages homework5-solutions
    Homework5-solutions

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Homework 5 (solutions) There are 20 total points (0.5 points for each part of each question and 8 points for handing in the assignment). One question will be graded for correctness. This homework is due Thursday, March 24 in your lab secti

  • 5 Pages algo_sol6
    Algo_sol6

    School: Minnesota

    Course: Statistical Analysis

    Daniels 1 Doug Daniels Analysis of Algorithms (NCSC-6021-01) Fall 2006 11/26/2006 Week 12 Assignment Problem 30.2-5: Describe the generalization of the FFT procedure to the case in which n is a power of 3. Give a recurrence for the running time, and solve

  • 2 Pages Exam 1 Solution Sample 1
    Exam 1 Solution Sample 1

    School: Minnesota

    Course: Statistical Analysis

    Stat 5021, First exam, Fall '05 Name Forty four people took this exam. The mean score was 75.9 with a standard deviation of 21.5. 1. Let X be a random variable with cumulative distribution if x < 1 0 0.1 if 1 x < 5 0.3 if 5 x < 7 F (x) = 0.7 if 7 x < 9 0.

  • 14 Pages 7.ComparingTwosubpopulations-notes
    7.ComparingTwosubpopulations-notes

    School: Minnesota

    Course: Statistical Analysis

    Comparing two subpopulations or processes 1 Introduction In previous chapters, we introduced models for a characteristic of units in a population, models for a process, and developed procedures (condence intervals & hypothesis tests) to make inference fo

  • 22 Pages 8.anova
    8.anova

    School: Minnesota

    Course: Statistical Analysis

    Notes on data analysis with R and ANOVA Adam J. Rothman November 3, 2011 Contents 1 Data analysis with R 1.1 Loading datasets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 Exploratory data analysis . . . . . . . . . . . . . . . . .

  • 21 Pages 9.simulations
    9.simulations

    School: Minnesota

    Course: Statistical Analysis

    Notes on simulations with R Adam J. Rothman November 3, 2011 Contents 1 Introduction 2 2 Inference for , the success probability or Bernoulli population proportion 2.1 Review of assumptions and formulas . . . . . . . . . . . . . . . . . . . . . . 2.2 Simu

  • 30 Pages 10.introreg
    10.introreg

    School: Minnesota

    Course: Statistical Analysis

    Introduction to regression Adam J. Rothman November 27, 2011 Contents 1 Introduction 1.1 Denitions . . . . . . . . . . 1.2 Introductory example . . . . 1.2.1 Exploring the dataset 1.2.2 Modeling . . . . . . 1.3 Using the model to predict . 1.4 Hypothesis

  • 5 Pages homework1sol
    Homework1sol

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Homework 1 (solutions) There are 20 total points (1 point for each part of each question excluding question 1, which is worth 0 points). One question will be graded for correctness. This homework is due Tuesday, September 20 in your lab se

  • 6 Pages homework2sol
    Homework2sol

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Homework 2 (solutions) There are 20 total points (1 point for each part of each question). One question will be graded for correctness. This homework is due Tuesday, September 27 in your lab section. 1. Dene the following terms and create

  • 6 Pages 7.comparingtwosubpopulations-examples-solutions
    7.comparingtwosubpopulations-examples-solutions

    School: Minnesota

    Course: Statistical Analysis

    Comparing two subpopulations or processes Examples (with solutions) 1. A company produces special running shoes. In their advertisement, they claim that using their shoes will make runners faster. Each of the 85 members of the football team at Eastern Mic

  • 21 Pages 6.IntroHypothesisTests-notes
    6.IntroHypothesisTests-notes

    School: Minnesota

    Course: Statistical Analysis

    Introduction to hypothesis tests 1 Introduction 1.1 Denitions and examples Denition: hypothesis a claim about a statistical model. Examples Population model: Suppose that heights of US residents are modeled with a distribution with unknown mean and unkno

  • 4 Pages 6.introhypothesistests-examples-solutions
    6.introhypothesistests-examples-solutions

    School: Minnesota

    Course: Statistical Analysis

    Introduction to hypothesis tests Examples (with solutions) 1. A grocery store had an average checkout time of 3 minutes. The management wished to improve this and installed a new checkout system. To test the new performance, they measured the checkout tim

  • 14 Pages 5.ConfidenceIntervals-notes
    5.ConfidenceIntervals-notes

    School: Minnesota

    Course: Statistical Analysis

    Introduction to Condence Intervals 1 Introduction When analyzing data, we view our observations x1 , . . . , xn as a realization of a random sample X1 , . . . , Xn from a distribution with unknown parameters. We then use x1 , . . . , xn to compute estimat

  • 19 Pages 4.EstimatorsEstimatesandSamplingDistributions-notes
    4.EstimatorsEstimatesandSamplingDistributions-notes

    School: Minnesota

    Course: Statistical Analysis

    Estimators, Estimates, and Sampling distributions 1 Review Denition: experiment action or process that generates outcomes. Only one outcome can occur and we are usually uncertain which outcome this will be. Denition: random variable a numerical measuremen

  • 8 Pages 4.Estimators-examples-solutions
    4.Estimators-examples-solutions

    School: Minnesota

    Course: Statistical Analysis

    Estimators, Estimates, and Sampling distributions Examples (with solutions) 1. Suppose that we use the Normal distribution to model the heights of females in the United states. Lets assume that this Normal distribution has mean = 65 inches and standard de

  • 24 Pages 3.RandomVariables-notes
    3.RandomVariables-notes

    School: Minnesota

    Course: Statistical Analysis

    1 Introduction to random variables Example 1.1: The experiment is to toss a fair coin 2 times. Recall the sample space, S = cfw_HH, HT, T H, T T . which we will assume has equally-likely outcomes (i.e., each has probability 1/4). Let X = the number of hea

  • 8 Pages 3.randomvariables-examples-solutions
    3.randomvariables-examples-solutions

    School: Minnesota

    Course: Statistical Analysis

    Random Variables Examples (with solutions) 1. Let X be the number of televisions in an apartment, to be randomly selected in a small town. Suppose that X has probability mass function: x 0 p(x) 0.2 1 0.7 2 0.1 (a) Compute the mean/expected value of X . So

  • 16 Pages 2.Probability-notes
    2.Probability-notes

    School: Minnesota

    Course: Statistical Analysis

    Introduction to probability Note that a formal/rigorous introduction to probability is beyond the scope of this course. Probability is a numerical measure of uncertainty. Uncertainties are abundant. Consider uncertainties about the weather, a medical diag

  • 7 Pages homework3sol
    Homework3sol

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Homework 3 (solutions) There are 20 total points (1 point for each part of each question and 3 points for handing in the assignment). One question will be graded for correctness. This homework is due Monday, October 10 in lecture. 1. Dene

  • 5 Pages homework4sol
    Homework4sol

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Homework 4 (solutions) There are 20 total points (1 point for each part of each question and 8 points for handing in the assignment). One question will be graded for correctness. This homework is due Tuesday, October 25 in your lab section

  • 3 Pages homework5
    Homework5

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Homework 5 There are 20 total points (1 point for each part of each question and 6 points for handing in the assignment). One question will be graded for correctness. This homework is due Friday, November 4 in lecture. 1. James is conducti

  • 3 Pages sol-II-15.6-3
    Sol-II-15.6-3

    School: Minnesota

    Course: Statistical Analysis

    Design and Analysis of Algorithms, Fall 2012 Exercise II: Solutions II-1 Where in the matrix multiplication-based DP algorithm for the all-pairs shortest paths problem do we need the associativity of matrix multiplication? The algoritm computes the produc

  • 3 Pages P2_Solutions_to_Exercises_and_Problems
    P2_Solutions_to_Exercises_and_Problems

    School: Minnesota

    Course: Statistical Analysis

    Selected Solutions for Chapter 2: Getting Started Solution to Exercise 2.2-2 S EL ECTION -S ORT.A/ n D A: length for j D 1 to n 1 smallest D j for i D j C 1 to n if Ai < Asmallest smallest D i exchange Aj with Asmallest The algorithm maintains the loop in

  • 9 Pages P1-Dynamic-LCS:MatrixParenthesis
    P1-Dynamic-LCS:MatrixParenthesis

    School: Minnesota

    Course: Statistical Analysis

    * OK OK

  • 5 Pages greedy+dynamic+cormen+sols
    Greedy+dynamic+cormen+sols

    School: Minnesota

    Course: Statistical Analysis

    pp&yq h q q GRWE7 cfw_ V i Vicfw_ f tj q q cfw_ k~ e 5 `pk Rutrqvuti rqi ts sq ymqr q h q q v utqGs mqr Rmmkjl 75i E EE55pp pg w ki Pvi ut q sutsqq ymqr q h q q v utqGs mqr Rm7 Rcfw_ 5 p ml kjf ji t EE5 pp ki Pvi utrqiutrqi ts ys mqr q h q eq Gv utR

  • 8 Pages COMP510_Assignment1_Ch15_JMC
    COMP510_Assignment1_Ch15_JMC

    School: Minnesota

    Course: Statistical Analysis

    September 10, 2012 Fall 2012 Comp 510-Algorithms Janeth Moran Cervantes Assignment 1 Chapter 15: Matrix Chain Multiplication, Bitonic Traveling Salesman Problem, and Printing Neatly (a) Matrix Chain Multiplication 15.2-1) Find an optimal parenthesization

  • 7 Pages alog-30.2-7-sol
    Alog-30.2-7-sol

    School: Minnesota

    Course: Statistical Analysis

    CIS 23 Analysis of Algorithms Midterm 1 General guidelines: Answer as many questions as you can to the best of your ability. Partial credit will be given to incorrect answers with a good argument. Giving proofs is required to obtain full credit, unless st

  • 3 Pages alog_sol5
    Alog_sol5

    School: Minnesota

    Course: Statistical Analysis

    Introduction to Algorithms, Spring 2010 Homework 3 solutions 9.3-8 1: function FIND -MEDIAN (X , Y, n) 2: 3: 4: 5: 6: 7: 8: 9: 10: 11: 12: 13: 14: 15: 16: 17: 18: k = n/2 if k 2 then Merge X and Y , and return the median of the merged array. if n is odd t

  • 2 Pages Algo-sols1
    Algo-sols1

    School: Minnesota

    Course: Statistical Analysis

    THEORY OF ALGORITHMS SOLUTIONS TO THE PROBLEMS BAOJIAN HUA MAY 23,2004 15.2-1 Find an optimal parenthesization of a matrix-chain product whose sequence of dimensions is < 5, 10, 3, 12, 5, 50, 6 >. Solution. Straightforward. 15.2-2 Give a recursive algorit

  • 131 Pages algo_sols4
    Algo_sols4

    School: Minnesota

    Course: Statistical Analysis

    Xoo September 19, 2004 Email Address texnician@163.com Preface :P http:/ftp.cdaan.com/sy/light/clrs_study.pdf 1 Copyright 2004 lightzju@hotmail.com. All rights reserved. lightzju@hotmail.com 2004 Permission is granted to copy, distribute and/or modify thi

  • 3 Pages algo_sols3
    Algo_sols3

    School: Minnesota

    Course: Statistical Analysis

    ) ( )2F Y$ #2( &F Q Y$ a $ #2 cfw_ T aF2 (7 B Y Ru4Rf4fs R| iRiii PYr9P7`0R)`%4`R$G%hy2`dS%y0$%94i9r`R$GF v s s s s 0 100 160 0 190 150 0 150 260 225 360 315 0 105 0 T$ a YF &F cfw_ B( Y TaF2 $# u ffP7`EGy$9AGF X`0$%Gw%3" s B Y ( Y ( $ ) B 8 7 $ I ( $ '

  • 3 Pages algo_sols2
    Algo_sols2

    School: Minnesota

    Course: Statistical Analysis

    Introduction to Algorithms, Spring 2010 Homework 3 solutions 9.3-8 1: function FIND -MEDIAN (X , Y, n) 2: 3: 4: 5: 6: 7: 8: 9: 10: 11: 12: 13: 14: 15: 16: 17: 18: k = n/2 if k 2 then Merge X and Y , and return the median of the merged array. if n is odd t

  • 2 Pages homework8
    Homework8

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Homework 8 There are 20 total points. This homework is due Tuesday, December 13 in your lab section. In this homework, you will analyze datasets (preferably using R). 1. Two numerical characteristics were measured for 18 countries. The rst

  • 2 Pages homework7
    Homework7

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Homework 7 There are 20 total points, 1 point for each part of each question and 5 points for turning in the assignment. This homework is due Friday, December 2 in lecture. 1. In this problem, you will analyze a dataset (preferably using R

  • 6 Pages homework7-solutions
    Homework7-solutions

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Homework 7 (solutions) There are 20 total points, 1 point for each part of each question and 5 points for turning in the assignment. This homework is due Friday, December 2 in lecture. 1. In this problem, you will analyze a dataset (prefer

  • 4 Pages homework6sol
    Homework6sol

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Homework 6 (solutions) There are 20 total points (1 point for each part of each question and 4 points for handing in the assignment). One question will be graded for correctness. This homework is due Monday, November 14 in lecture. 1. A co

  • 2 Pages homework6
    Homework6

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Homework 6 There are 20 total points (1 point for each part of each question and 4 points for handing in the assignment). One question will be graded for correctness. This homework is due Monday, November 14 in lecture. 1. A company produc

  • 6 Pages homework5sol
    Homework5sol

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Homework 5 (solutions) There are 20 total points (1 point for each part of each question and 6 points for handing in the assignment). One question will be graded for correctness. This homework is due Friday, November 4 in lecture. 1. James

  • 16 Pages Probability-solutions
    Probability-solutions

    School: Minnesota

    Course: Statistical Analysis

    Introduction to probability Note that a formal/rigorous introduction to probability is beyond the scope of this course. Probability is a numerical measure of uncertainty. Uncertainties are abundant. Consider uncertainties about the weather, a medical diag

  • 16 Pages Probability lecture notes outline
    Probability Lecture Notes Outline

    School: Minnesota

    Course: Statistical Analysis

    Introduction to probability Note that a formal/rigorous introduction to probability is beyond the scope of this course. Probability is a numerical measure of uncertainty. Uncertainties are abundant. Consider uncertainties about the weather, a medical diag

  • 3 Pages Probability Example Problems
    Probability Example Problems

    School: Minnesota

    Course: Statistical Analysis

    Probability Examples 1. The experiment is to roll a six-sided die. (a) Write down the sample space S , that is, list all possible outcomes of this experiment. (b) Let A be the event that die shows a number that is greater than or equal to 5. Write down th

  • 7 Pages Homework 3 solutions
    Homework 3 Solutions

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Homework 3 (solutions) There are 20 total points (1 point for each part of each question and 3 points for handing in the assignment). One question will be graded for correctness. This homework is due Thursday, February 17 in your lab secti

  • 4 Pages hw3
    Hw3

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Homework 3 There are 20 total points (1 point for each part of each question and 3 points for handing in the assignment). One question will be graded for correctness. This homework is due Thursday, February 17 in your lab section. 1. Dene

  • 5 Pages Homework 4 solutions
    Homework 4 Solutions

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Homework 4 (solutions) There are 20 total points (1 point for each part of each question and 8 points for handing in the assignment). One question will be graded for correctness. This homework is due Thursday, March 3 in your lab section.

  • 2 Pages HW4
    HW4

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Homework 4 There are 20 total points (1 point for each part of each question and 8 points for handing in the assignment). One question will be graded for correctness. This homework is due Thursday, March 3 in your lab section. 1. The data

  • 2 Pages Introduction to confidence intervals examples
    Introduction To Confidence Intervals Examples

    School: Minnesota

    Course: Statistical Analysis

    Introduction to condence intervals Examples 1. The temperature in degrees F of 20 individuals was measured: 101.8 98.3 95.9 97.2 100.2 100.3 99.7 99.2 97.5 96.8 99.4 96.5 97.3 97.9 98.2 103.8 101.0 99.4 97.8 93.5 The observed sample mean is x = 98.585 deg

  • 4 Pages Introduction to confidence intervals examples solutions
    Introduction To Confidence Intervals Examples Solutions

    School: Minnesota

    Course: Statistical Analysis

    Introduction to condence intervals Examples (with solutions) 1. The temperature in degrees F of 20 individuals was measured: 101.8 98.3 95.9 97.2 100.2 100.3 99.7 99.2 97.5 96.8 99.4 96.5 97.3 97.9 98.2 103.8 101.0 99.4 97.8 93.5 The observed sample mean

  • 14 Pages Introduction to confidence intervals lecture notes outline
    Introduction To Confidence Intervals Lecture Notes Outline

    School: Minnesota

    Course: Statistical Analysis

    Introduction to Condence Intervals 1 Introduction When analyzing data, we view our observations x1 , . . . , xn as a realization of a random sample X1 , . . . , Xn from a distribution with unknown parameters. We then use x1 , . . . , xn to compute estimat

  • 16 Pages Introduction to hypothesis testing lecture notes outline
    Introduction To Hypothesis Testing Lecture Notes Outline

    School: Minnesota

    Course: Statistical Analysis

    Introduction to hypothesis tests 1 1.1 Introduction Denitions and examples Denition: hypothesis a claim about a statistical model. Examples Population model: Suppose that heights of US residents are modeled with a distribution with unknown mean and unknow

  • 18 Pages Estimators Estimates and Sampling distributions lecture notes outline
    Estimators Estimates And Sampling Distributions Lecture Notes Outline

    School: Minnesota

    Course: Statistical Analysis

    Estimators, Estimates, and Sampling distributions 1 Review Denition: experiment action or process that generates outcomes. Only one outcome can occur and we are usually uncertain which outcome this will be. Denition: random variable a numerical measuremen

  • 8 Pages Estimators, Estimates, and Sampling Distributions Example Problems Solutions
    Estimators, Estimates, And Sampling Distributions Example Problems Solutions

    School: Minnesota

    Course: Statistical Analysis

    Estimators, Estimates, and Sampling distributions Examples (with solutions) 1. Suppose that we use the Normal distribution to model the heights of females in the United states. Lets assume that this Normal distribution has mean = 65 inches and standard de

  • 9 Pages SmplFinalAns
    SmplFinalAns

    School: Minnesota

    Course: Statistical Analysis

    THE UNIVERSITY OF MINNESOTA Statistics 5021 Sample Final Examination Solutions 1. During the 1996 presidential campaign, one of the Republican candidates based his campaign on a proposal for a "flat tax" (income tax with just one rate). A polling org

  • 7 Pages Probability solutions to example problems
    Probability Solutions To Example Problems

    School: Minnesota

    Course: Statistical Analysis

    Probability Examples (with solutions) 1. The experiment is to roll a six-sided die. (a) Write down the sample space S , that is, list all possible outcomes of this experiment. Solution: S = cfw_1, 2, 3, 4, 5, 6 (b) Let A be the event that die shows a numb

  • 2 Pages Summary of probability rules
    Summary Of Probability Rules

    School: Minnesota

    Course: Statistical Analysis

    Summary of probability rules For an experiment with sample space S with a nite number of outcomes, and for arbitrary events A and B . Axioms: 1. 0 P (A) 1, 2. P (S ) = 1, and 3. when A and B are disjoint events, P (A B ) = P (A) + P (B ). General rules:

  • 2 Pages HW2
    HW2

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Homework 2 There are 20 total points (1 point for each part of each question). One question will be graded for correctness. This homework is due Thursday, February 10 in your lab section. 1. Dene the following terms and create your own exa

  • 3 Pages Random Variables Example Problems
    Random Variables Example Problems

    School: Minnesota

    Course: Statistical Analysis

    Random Variables Examples 1. Let X be the number of televisions in an apartment, to be randomly selected in a small town. Suppose that X has probability mass function: x 0 p(x) 0.2 1 0.7 2 0.1 (a) Compute the mean/expected value of X . (b) What is the pro

  • 8 Pages Random Variables Example Problems Solutions
    Random Variables Example Problems Solutions

    School: Minnesota

    Course: Statistical Analysis

    Random Variables Examples (with solutions) 1. Let X be the number of televisions in an apartment, to be randomly selected in a small town. Suppose that X has probability mass function: x 0 p(x) 0.2 1 0.7 2 0.1 (a) Compute the mean/expected value of X . So

  • 24 Pages Random variables lecture ntoes outline
    Random Variables Lecture Ntoes Outline

    School: Minnesota

    Course: Statistical Analysis

    1 Introduction to random variables Example 1.1: The experiment is to toss a fair coin 2 times. Recall the sample space, S = cfw_HH, HT, T H, T T . which we will assume has equally-likely outcomes (i.e., each has probability 1/4). Let X = the number of hea

  • 3 Pages Estimators, Estimates, and Sampling Distributions Example Problems
    Estimators, Estimates, And Sampling Distributions Example Problems

    School: Minnesota

    Course: Statistical Analysis

    Estimators, Estimates, and Sampling distributions Examples 1. Suppose that we use the Normal distribution to model the heights of females in the United states. Lets assume that this Normal distribution has mean = 65 inches and standard deviation = 3 inche

  • 2 Pages Introduction to hypothesis tests examples
    Introduction To Hypothesis Tests Examples

    School: Minnesota

    Course: Statistical Analysis

    Introduction to hypothesis tests Examples 1. A grocery store had an average checkout time of 3 minutes. The management wished to improve this and installed a new checkout system. To test the new performance, they measured the checkout times x1 , . . . , x

  • 4 Pages Introduction to hypothesis tests examples solutions
    Introduction To Hypothesis Tests Examples Solutions

    School: Minnesota

    Course: Statistical Analysis

    Introduction to hypothesis tests Examples (with solutions) 1. A grocery store had an average checkout time of 3 minutes. The management wished to improve this and installed a new checkout system. To test the new performance, they measured the checkout tim

  • 7 Pages homework7-solutions
    Homework7-solutions

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Homework 7 There are 20 total points. This homework is due Thursday, April 28 in your lab section. In this homework, you will analyze datasets (preferably using R). 1. Two numerical characteristics were measured for 18 countries. The rst c

  • 30 Pages Introduction to regression lecture notes
    Introduction To Regression Lecture Notes

    School: Minnesota

    Course: Statistical Analysis

    Introduction to regression Adam J. Rothman April 12, 2011 Contents 1 Introduction 1.1 Denitions . . . . . . . . . . 1.2 Introductory example . . . . 1.2.1 Exploring the dataset 1.2.2 Modeling . . . . . . 1.3 Using the model to predict . 1.4 Hypothesis tes

  • 5 Pages midterm1-solutions
    Midterm1-solutions

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Midterm 1 Name: Internet-ID: There are 4 questions, with point values given in parentheses for each part of each question. Show all work to receive credit. You are allowed one 8.5x11 inch sheet of paper with your notes written on both side

  • 5 Pages midterm2-solutions
    Midterm2-solutions

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Midterm 2 Name: Internet-ID: There are 3 questions, with point values given in parentheses for each part of each question. Show all work to receive credit. You are allowed two 8.5x11 inch sheets of paper with your notes written on both sid

  • 2 Pages Syllabus
    Syllabus

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Spring 2011 Statistical Analysis Instructor: Adam Rothman, Ph.D. Oce: 383 Ford Hall Oce hours: 11am12pm Monday, 11am1pm Wednesday e-mail: arothman@umn.edu Teaching Assistant: Xin Zhang Oce: 350 Ford Hall Oce hours: 12pm1pm & 4pm5pm Thursda

  • 3 Pages Introduction lecture notes outline
    Introduction Lecture Notes Outline

    School: Minnesota

    Course: Statistical Analysis

    Introduction to statistics Denition: model Oversimplied, approximate, and useful representations of real world objects or phenomena. Predictions and inferences generated by the model should be capable of being veried or refuted by comparing them with real

  • 5 Pages Homework 1 solutions
    Homework 1 Solutions

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Homework 1 (solutions) There are 20 total points (1 point for each part of each question excluding question 1, which is worth 0 points). One question will be graded for correctness. This homework is due Thursday, February 3 in your lab sec

  • 3 Pages HW1
    HW1

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Homework 1 There are 20 total points (1 point for each part of each question excluding question 1, which is worth 0 points). One question will be graded for correctness. This homework is due Thursday, February 3 in your lab section. 1. The

  • 2 Pages homework7
    Homework7

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Homework 7 There are 20 total points. This homework is due Thursday, April 28 in your lab section. In this homework, you will analyze datasets (preferably using R). 1. Two numerical characteristics were measured for 18 countries. The rst c

  • 5 Pages homework6-solutions
    Homework6-solutions

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Homework 6 (solutions) There are 20 total points. This homework is due Thursday, April 7 in your lab section. In this homework, you will analyze a dataset (preferably using R). The data are from an experiment where 24 animals were assigned

  • 16 Pages IntroHypothesisTests-solutions
    IntroHypothesisTests-solutions

    School: Minnesota

    Course: Statistical Analysis

    Introduction to hypothesis tests 1 1.1 Introduction Denitions and examples Denition: hypothesis a claim about a statistical model. Examples Population model: Suppose that heights of US residents are modeled with a distribution with unknown mean and unknow

  • 3 Pages Comparing two populations or processes examples
    Comparing Two Populations Or Processes Examples

    School: Minnesota

    Course: Statistical Analysis

    Comparing two populations or processes Examples 1. A company produces special running shoes. In their advertisement, they claim that using their shoes will make runners faster. Each of the 85 members of the football team at Eastern Michigan University ran

  • 6 Pages Comparing two populations or processes examples with solutions
    Comparing Two Populations Or Processes Examples With Solutions

    School: Minnesota

    Course: Statistical Analysis

    Comparing two populations or processes Examples (with solutions) 1. A company produces special running shoes. In their advertisement, they claim that using their shoes will make runners faster. Each of the 85 members of the football team at Eastern Michig

  • 11 Pages Comparing two populations or processes lecture notes outline
    Comparing Two Populations Or Processes Lecture Notes Outline

    School: Minnesota

    Course: Statistical Analysis

    Comparing two populations or processes 1 Introduction In previous chapters, we introduced models for a characteristic of units in a population, models for a process, and developed procedures (condence intervals & hypothesis tests) to make inference for t

  • 9 Pages ComparingTwoPopulations-solutionsPart-a
    ComparingTwoPopulations-solutionsPart-a

    School: Minnesota

    Course: Statistical Analysis

    Comparing two populations or processes 1 Introduction In previous chapters, we introduced models for a characteristic of units in a population, models for a process, and developed procedures (condence intervals & hypothesis tests) to make inference for t

  • 4 Pages Homework 5
    Homework 5

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Homework 5 There are 20 total points (0.5 points for each part of each question and 8 points for handing in the assignment). One question will be graded for correctness. This homework is due Thursday, March 24 in your lab section. 1. James

  • 22 Pages ANOVA lecture notes outline
    ANOVA Lecture Notes Outline

    School: Minnesota

    Course: Statistical Analysis

    Notes on data analysis with R and ANOVA Adam J. Rothman March 23, 2011 Contents 1 Data analysis with R 1.1 Loading datasets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 Exploratory data analysis . . . . . . . . . . . . . . . . . .

  • 1 Page homework6
    Homework6

    School: Minnesota

    Course: Statistical Analysis

    Statistics 5021 Homework 6 There are 20 total points. This homework is due Thursday, April 7 in your lab section. In this homework, you will analyze a dataset (preferably using R). The data are from an experiment where 24 animals were assigned to one of f

  • 6 Pages SmplFinal
    SmplFinal

    School: Minnesota

    Course: Statistical Analysis

    THE UNIVERSITY OF MINNESOTA Statistics 5021 Sample Final Examination This was a closed book two-hour exam. Students were allowed two 8.5" by 11" sheet of notes. A book of tables was provided. This included standard normal probabilities, t distributio

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