Reasoning with Statistics course information

Click on the link below to view the course out line for your section.

STT 2820 Syllabus

MyMathLab is a required resource for this course.  You may purchase access through the ASU bookstore or you may purchase access online.  I realize that the cost is great, as such you may register for a 14 day trial period for access.  Below are the instructions for registering for your MyMathLab section.

MyMathLab Section 101 (8 AM)

MyMathLab Section 102 (9 AM)

Introductory Survey / Introduction to MyMathLab

Click on the link below to complete the introductory survey. Please be aware that although the identity of the respondents will be kept anonymous, the results will be available to all students.

Introductory Survey


Once you have completed the introductory survey, you will want to familiarize yourself with the MyMathLab Learning Management System.  We will be using this online portal to access Statcrunch, the electronic version of your textbook, and the MyMathLab portion of your graded assessments.  Click on the link below to take you to the MyMathLab Login Page.  

MyMathLab Login Page

Once logged in:

Please watch the Intro Video and complete the Orientation HW by August 24 at 5 PM.


Chapter 1 - What is Statistics?

The Terminology of Statistics


The 5 W's of Data Analysis


•Who: Describe the individuals who were surveyed.
•What: Determine what is being measured.
•When: When was the research conducted?
•Where: Where was the research conducted?
•Why: What was the purpose of the survey or
experiment?
•How: Describe how the survey or experiment was
conducted.

MyMathLab Login Page

Once logged in:

Please Chapter 1 HW by August 24 at 5 PM.


Chapter 2 - Displaying and Describing Categorical Data


Click on the links below to gain access to your classes survey responses. 

Introductory Survey Results


One of the emerging applications we see for statistics is an interdisciplinary journey with the visual arts.  The process for creating informative, descriptive, representative can be daunting and needs proper instruction.

Data Visualization Presentation


Where you get your news used to be a simple question and a simple answer. The local news paper, perhaps the network news that came on shortly after dark. Today, that question is less simple and even more polarizing. Below is a link to the full results of a Public Policy Polling study released on February 6, 2013 dealing with this very issue.

PPP Poll

Top 100 Influential Conservatives and Liberals


MyMathLab Login Page

Once logged in:

Please Chapter 2 HW by August 29 at 11 PM.


Chapter 3 - Displaying and Summarizing Quantitative Data


Creating films that are "age appropriate" is less of a science and more of an art form. Whereas we might believe a particular film is created to engage a specific audience, raw data of such a showing might prove other wise. Below you will find links to trailers of three different films released in the fall of 2010. Additionally, you will find an excel sheet with some data that I collected outside of the theater.

Megamind

Red

Secretariat


Movie Data Set


MyMathLab Login Page

Once logged in:

Please Chapter 3 HW by August 31 at 11 PM.


Chapter 4 - Understanding and Comparing Distributions


Hello Kitty Automatic Pistol


Recently, on Capitol Hill, Senator Diane Feinstein introduced new legislation designed to address "Common Sense Gun Regulations". Pictured above is a Customized Velocity Arms Vmac Automatic Pistol that is listed as a proposed "banned firearm". In truth, at the heart of all gun regulation is the hope that we can reduce the overall violent crime rate... So if we are going to speak intelligently about the crime rate, we should at least know what it is and how it works.


State Crime Data

Freakonomics


Project 1

Below are two links: the first is to a word document that details the assignment description and the second is an excel document that contains the data you are asked to analyze.  These same two documents have also been added to a google drive folder linked under your personal ASU account.  Please submit your work using the document provided in drive.  Please see this link for further instructions on submission.  Please complete this project assignment no later than Thursday, September 6 by 11 PM. 


Project File

Excel Sheet with Data


Chapter 5 - The Standard Deviation as a Ruler and the Normal Model


Examine the data set below.

P-chem versus Analysis


MyMathLab Login Page

Once logged in:

Please Chapter 5 #1 HW by September 6 at 11 PM.


Exam 1 Preparations


Below is a link to several problems we will examine in class today. I will not be taking this document up for a grade.

Supplemental Problems


As you all know, we are quickly approaching our first test date. The link below provides you access to an exam that I gave in a previous semester. This should help you with your preparations for our first test. 

Exam 1 Review

Answer Key

***CORRECTION*** -  Problem 3b should be .0630.  

Chapter 6 - Scatterplots, Association, and Correlation


Leonardo DaVinci was a prolific artist and scientist. In fact, he was one of the first individuals to hypothesize that there was a relationship between certain aspects and measurements of the human body. 

Height Versus Shoe Size


Below you will find several data sets that also indicate relationships and associations between various data sets.

Galton / Pearson Data Set

Correlation Data Sets

Table of Significant r values


MyMathLab Login Page

Once logged in:

Please Chapter 6 #1 HW by September 12 at 11 PM.


MyMathLab Login Page

Once logged in:

Please Chapter 6 #2 HW by September 14 at 11 PM.


Chapter 7 - Linear Regression


Least squares regression is a line fitting technique that we will use to generate a predictive equation based upon several different assumptions and parameters.

Regression Applet


Below you will find several data sets that we will use in class to exhibit regression modeling with technology.

Regression Data Sets


MyMathLab Login Page

Once logged in:

Please Chapter 7 HW by September 21 at 11 PM.


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