Course Outline- Statistics-MATH 2001

Overview:

The course takes place over the internet and in the classroom. During each course week, you have the opportunity to visit the classroom where you may interact with your instructor and your classmates. During each week participants are expected to go over the course materials and work through the exercises. You must successfully complete all six quizzes while in the classroom setting.

Course Objectives:

By the end of the semester, a student should be able to:

  1. Use frequently employed methods of summarizing, analyzing and presenting data.
  2. Understand and employ probability distributions including the binomial and normal distributions
  3. Use various statistical techniques to draw inferences regarding population characteristics from statistical data
  4. Apply appropriate statistical techniques to real-world problems at work or at home
  5. Prepare to take more advanced statistical course work

Grading:

Quizzes are given periodically as show on the course outline. Each quiz will last one hour. The final exam is not comprehensive. A simple arithmetic average is used to determine the final score for the course. The traditional grading scale will be used.
       

A = 90 -100 ( final scores are rounded up by the half adjust method)
B=  80 -  89
C = 70 -  79
D= 60  -  69
F Below 59.5

 Make-Up Quizzes

Make-up quizzes are allowed only for excused absences. An excused absence requires proof of illness or other documentary evidence to support the absence. Check with your instructor to schedule make-up quizzes. All quizzes must must be completed on or before the last class (not final exam day) day in order to receive a score other than zero.

Course Text: 

No text is required, all materials are on the course web page. However, any statistics text is acceptable for use. There are many online text , see section in table of contents under Utilities.

Software:

  Computer Stats:  is available on the classroom computers. An excellent, free, statistical software is available at http://www.statcrunch.com/

Day-to Day Outline For The Course:

DAYTOPICS 
1The two types of Statistics-Descriptive and Inferential 
2Frequency Table, Polygons 
3 Histograms, Ogives 
4 Stem and leaf plots, variables, levels of  measurement 
5Mean, median, mode 
6-7Range, variance, standard deviation 
8Box and whisker plot 
9Z scores, percentiles 
10Review test I: See study guide test I 
11Test I 
12Simple probabilities, odds 
13-14Compound probabilities, And , OR 
15-16The fundamental counting principle, combinations 
17Permutations 
18Review test II: See study guide test II 
19Test II 
20Random variables, discrete probability distributions, expected Value 
21The binomial distribution 
22Density functions and the family of normal curves 
23Review test III: See study guide test III 
24Test III 
25Areas under any normal curve 
26The central limit theorem 
27Applications of the central limit theorem 
28Confidence interval estimations 
29Review test IV: See study guide test  IV 
30Test IV 
31-32Hypothesis testing single population -large sample 
33Hypothesis testing single population-small sample 
34Hypothesis testing  two populations 
35Hypothesis testing matched pairs 
36Classical approach vs probabilistic approach to hypothesis testing 
37Review test V: See study guide test V 
38Test V 
39Chi -square test of independence 
40Chi-square test of goodness of fit 
41correlation and scatter plots 
42-43Simple linear regression 
44Multiple linear regression 
45Review final exam: see study guide final exam 
46Final exam