STAT 428 Ohio State

Minitab Handout Statistics 428 Autumn 2006 Throughout this course you will be asked to perform statistical calculations with the aid of the Minitab software package. This handout will get you started using Minitab. This handout is designed for Min

STAT 428 Autumn 2006 Midterm Exam 1 Name:_ There are FOUR problems with a total of 50 points. For full credit, show your work in reasonable details. Make use of Minitab outputs whenever available. You dont have to recalculate anything already given

Stat 428 Midterm 1 Winter 2006 Name SOLUTIONS Please read each question carefully and ask me if you have any questions. You cannot get full credit for a problem unless you show your work. Partial credit will be granted based on work shown. Make su

Describing Data Reading: Chapter 1 Learning Objectives: Know basic vocabulary of statistics Be able to create: Appropriate graphical displays Appropriate numerical summaries Be able to fully describe sample distributions Spring 2009 Statistics

Graphical Methods for Summarizing Data Example 1. (Software Evaluations: data set 6.2.2 in the text book) A new piece of software was evaluated by a group of 60 trial users, and their ratings (bad, fair, good, excellent) of the software were recorded

Demo of Sampling Distributions of Statistics We simulate random samples from a probability distribution using Minitab and examine the sampling distributions of some statistics via the histograms of the statistics under repeated random sampling. We wi

Statistics 428 Introduction to Probability and Statistics II Instructor: Email: Office: Website: Grades: Office Hours: Dr. Elly Kaizar ekaizar@stat.osu.edu 221 Cockins Hall www.stat.osu.edu/~ekaizar/courses/428 carmen.osu.edu MW 9:30-10:18am, or ap

Statistics 428: Homework #1 Chapter 1 and CLT Review Required problems: To be turned in for credit: 1.18: \"In a study of author productivity.\" (page 21) 1.56: \"The amount of aluminum contamination (ppm) in plastic.\" (page 40) 1.72: \"Anxiety disorder

Central Limit Theorem Review Reading: Section 5.4 Learning Objectives: Understand the CLT approximation Understand the CLT conditions Be able to apply the CLT appropriately Be able to use the Normal approximation to estimate probabilities/sample