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AMS 102, Elements of Statistics

Catalog Description: The use and misuse of statistics in real-life situations. Basic statistical measures of central tendency and dispersion; frequency distributions; elements of probability, binomial and normal distributions; small- and large-sample hypothesis testing, confidence intervals, and chi-square test; and regression. (May not be taken by students with credit for AMS  110 , 110,  310 , or  311 ; ECO 320; PSY 201 or SOC 311,312.).

Prerequisite: Satisfaction of Entry Skill in Mathematics.

3 credits

 

Mandatory Course Materials for Summer and Fall 2018:

Students with a Voucher MUST Purchase Materials through Follett Discover (SBU Bookstore):
https://www.bkstr.com/sbuweststore/shop/textbooks-and-course-materials

Once you have the access card in hand, follow these steps:

  • Log in to your Blackboard Account, and access Course AMS 102
  • Left margin will contain a link for “MyLab Statistics”
  • Click into ANY of the links that appear on the right side of the screen.
  • Follow the instructions to register.
  • When prompted, you can click the “Use an Access Code” option, and enter the code from the paper access card you have from the bookstore.
  • Once complete, you can click “Go to Your Course”

 
Students without a Voucher Can Purchase through Follett, or May Purchase Materials directly through their MyLab Statistics course in Blackboard:

  • Log in to your Blackboard Account, and access Course AMS 102
  • Left margin will contain a link for “MyLab Statistics”
  • Click into ANY of the links that appear on the right side of the screen.
  • Follow the instructions to register.
  • When prompted, you can click the “Use an Access Code” option if you purchased from Follett, or can BUY HERE using a Credit Card or Paypal.
  • Once you complete this transaction, you can click “Go to Your Course"

     

Both options above will include Pearson eText; no physical textbook

  • If you wish to purchase a loose-leaf version of the text, you can click “PURCHASE OPTIONS” from your MyLab Statistics course, and order a $49.95 copy mailed directly to you.

  

Topics
1.  Introduction and Concept of Randomized Experiments –  5 class hours
2.  Elements of Probability Theory - 6 hours
3.  Tests of Hypothesis  - 4 class hours
4. Conditional Probability and its Applications - 3 class hours
5.  Confidence Intervals - 4 class hours
6.  Student's t test - 3 class hours
7.  Cross-Tabulation Analysis - 5 class hours
8.  Linear Regression - 6 class hours
9.  Examinations and Review – 6 class hours.

 

Learning Outcomes for AMS 102, Elements of Statistics

1.) Describe and apply the process of statistical investigations from conception through conclusion.  This process involves: 
     * formulating questions and collecting data;
     * analyzing data and drawing inferences;
     * interpreting results and communicating conclusions.

2.) Demonstrate facility with, and a solid conceptual understanding of, the key tools of data analysis, including:
      * histograms; 
      * box plots, stem-and-leaf plots and other graphical displays;
      * measures of central tendency;
      * measures of dispersion.

3.) Demonstrate knowledge of elements of probability and key probability distributions, including:
      * probability of an event, sample space, equi-probable outcomes;
      * conditional probability and Bayes’ theorem;
      * binomial distribution;
      * normal distribution.

4.) Demonstrate facility with, and a solid conceptual understanding of, the key tools of statistical inference, including: 
      * z-scores;
      * estimation of intervals;
      * testing hypotheses, including Type 1 and Type 2 errors.
 
5.) Perform important statistical procedures, such as:
       * t-test;
       * linear regression.

6.) Work with technology to:
      * analyze data graphically; 
      * analyze data numerically; 
      * analyze data inferentially.

7.) Decide which statistical methods to use in which situations:
       * recognizing which statistics tests apply in a situation;
       * checking the necessary conditions for those methods to be valid.

8.)  Use statistics to address the research question at hand.
        * interpret the results of statistical analyses to answer the research question;
        * communicate conclusions that follow from the statistical analyses of the question.

9.)  Demonstrate an appreciation of the power and scope of statistical thinking for addressing research questions in a variety of scientific disciplines and in everyday life. https://mail.google.com/mail/u/0/images/cleardot.gif

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