STAT 457 STATISTICAL METHODS LAB

Section 01, CRN 70726, Tuesday 11:10-noon Section 02, CRN 71686, Tuesday 12:10-1 PM

Instructor: Mike O’Lear email: m.olear@mso.umt.edu

Office Hours: Mon—noon to 1PM Tues—1 to 3 PM Wed—2 to 3 PM Fri—1 to 2 PM

Announcements:

This page was last updated on 12/7/10

Latest Page Additions/Changes:

Class Documents:

syllabus	lab reports and normal class procedures	final project	Is the Stat course hard?
writing abilities	personal computer help		Usefulness of Statistics
FINAL PROJECT INSTRUCTIONS	Final Project 1	Final Project 2	Final Project 3
Final Project 4

By Hand Examples:

2 way table example (hand written)

Another 2 way table example

StatCrunch

Using only StatCrunch

“R” Statistical Package

NOTE: Some of these R tutorials below are a bit dated, in that they use older versions of R, but the information is still as useful for you now.

Installing R and R Commander	General Overview of R	R Tutorial 1	R Tutorial 2
R Tutorial 3	R Tutorial 4	R Reference A—R Intro from CRAN site	R Reference B
R Reference C	R Reference D	vector.R	vectorop.R
LogicalOperator.R	rbinom.pdf	more_vector_matrix.pdf	cat.pdf
if.pdf	logical_operators.pdf	for_etc.pdf	ifelse.pdf

Weekly Labs

Lab Number	Date	Topic(s) Covered	Assignments and Files
Lab 1	8/20/10	Intro to Lab Intro to StatChrunch	lab 1 (due on 9/7) horse_race.csv
Lab 2	9/7/10	· 2 way tables with StatCrunch	What we learned from Lab 1 lab 2 (due on 9/14) 2waytable.csv bloodpressure.csv
Lab 3	9/14/10	· Quantitative variables using StatCrunch · Beginnings of R	What we learned from Lab 2 lab 3 (due on 9/21) student.txt
Lab 4	9/21/10	· 2 way tables using R · More introduction to R · good reference for your” R library”—CRAN site R Intro	What we learned from lab 3 lab 4 (due on 9/28) phd.txt step1.R step 2.R step3.R step4.R
Lab 5	9/28/10	· using R for quantitative data · some more functions for categorical data investigation	lab 5 (due on 10/5) lab 4 What We Learned grizfootball.txt readin.R firstset.R secondset.R
Lab 6	10/5/10	· More lin. reg. with R · lin. reg. with transformed variables	Lab 6 (due 10/12) fandata.txt readfandata.R yourturn.R Tvlife06.txt logscripts.R
Lab 7	10/12/10 Note that various .pdf’s and tutorial scripts (posted here and above in the R section) might be helpful on these topics: vector.R vectorop.R LogicalOperator.R rbinom.pdf more_vector_matrix.pdf cat.pdf if.pdf logical_operators.pdf for_etc.pdf ifelse.pdf	· R Commander Introduction · Control statements (e.g., if, for, while, etc.) · Some simple simulations using R	Lab 7 (due 10/19) ladygriz.R
Lab 8	10/19/10	· More simulations	Lab 8 (due 10/26) irrigate_farm.R ladygrizvisit.R one_and_one.R one_one_revisited.R func_1and1.R
Lab 9	10/26/10	Now you try your hand at simulations using R	Lab 9 (due 11/9) Lab 8 due today
	11/2/10	· no class, voting day	My Simulations For Lab 9
Lab 10	11/9/10	· Is the Central Limit true???? · Q – Q plots, used to check for “normality” · Confidence Intervals—a simulation · Lab 10 Correction	Lab 10 (due 11/16) Lab 9 due today clt_demo.R confidence_intervals.R
Lab 11	11/16/10	· Using tools learned previously, determine the identity of 7 distributions from their samples (size 150)	Lab 11 (due 11/23) Lab 10 due today mystery_7.txt Final Project Update
Lab 12	11/23/10 Have a nice Thanksgiving	· Hypothesis tests of single p · Type I and II Errors · Power function using R	Lab 12 (due 11/30) Lab 11 due today power.R
Lab 13	11/30/10	Update on your final projects	Lab 13 (due TODAY, before you leave lab!!) Lab 12 due today, also
Lab 14	12/7/10 Thank you for an enthusiastic/cooperative semester from all participants	t-tests CI’s and hypothesis testing with t’s	Lab 14 (do not turn in unless you need “quota” of labs turned in—if turned in, do so no later than 12/13) pennies.R t_distrib_graph.R normtemp.txt
	12//10	final projects due by 4PM	You may email final project to me as last option