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
310 , or
311, 312; ECO 320; POL 201; PSY 201 or SOC 202.)
Prerequisite: Satisfaction of Entry Skill in Mathematics (Skill 1) or satisfactory completion of DEC C or QPS; Non-AMS majors only.
Antirequisite: May not be taken by students with credit for AMS 110 or AMS 310
Mandatory Course Materials for WINTER and SPRING 2022:
Please be sure to choose ISBN 9781323902653 which includes MyLab Access Code + eText (both items required for the course). Hardcopy of the textbook is OPTIONAL (not required)
Please check with Barnes and Noble (University bookstore) https://sunysb.bncollege.com/course-material/course-finder# or SBUShopRed.com and/or the publisher (Pearson Publishing) for pricing.
SPECIAL NOTE: Students wishing to receive instant access to the MyLab Access Code
(required) should purchase the access code via the Blackboard link (once active) in
AMS 102 course, which will bring you to Pearson Publishing's website to purchase using
your credit card.
Students may purchase course materials through the University bookstore, or 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"
The option above includes the Pearson eText; HARD COPY OF THE TEXTBOOK IS NOT REQUIRED
- 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.
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:
* 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,
* 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:
* estimation of intervals;
* testing hypotheses, including Type 1 and Type 2 errors.
5.) Perform important statistical procedures, such as:
* 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.