Course Syllabus
 
 
                 Term: Spring 2016
 
        Course Number: STAT 213 R 001
 
         Course Title: Statistical Methods
 
         Credit Hours: 4
 
       Class Location: RITC 155
 
        Meeting Times: T R - 05:30 PM to 07:15 PM
 
           Instructor: Cogdill, Cory
 

 
Learning Objectives:
Students will:
1.  Be able to identify and understand basic statistical terminology used in the textbook.    
2.  Be able to think critically about statistical studies (looking for bias and misrepresented data)  
3.  Understand the difference between the sampling methods (Simple random vs. convenience)
4.  Identify and understand different graphical representations of data (scatter plots, histograms, etc)
5.  Use frequency distributions to find mean and standard deviations
6.  Use formulas and software to find the mean, median, standard deviation and variance of sample data.
7.  Understand the basics of probability, including addition and multiplication probability as well as combination and permutation formulas
8.  Understand a “Normal Distribution” and how to identify probability and z scores
9.  Use sample statistics to estimate the population proportion, mean, standard deviation and sample size
10.  Use a formal hypothesis test with Null and Alternative hypothesis to make a conclusion about a claim.
11.  Use formulas and software to find linear regression and correlation.


 
Required Materials:
Mario F. Triola , Elementary Statistics, Pearson
MathXL access is also required. MathXL is packaged with the books from the 
bookstore. Either edition will work.  
ISBN-10: 0321836960 		(12th Edition without MathXL)*
ISBN-10: 0321500245		(11th Edition without MathXL)*
ISBN-10: 032193489-X 		(12th ed. from bookstore with MathXL)
*Math XL must be purchased separately from mathxl.com if you chose these options