Statistics II

The American College of Greece

Course Description

  • Course Name

    Statistics II

  • Host University

    The American College of Greece

  • Location

    Athens, Greece

  • Area of Study

    Statistics

  • Language Level

    Taught In English

  • Prerequisites

    MA 2010 Statistics I

  • Course Level Recommendations

    Upper

    ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.

    Hours & Credits

  • US Credits

    3
  • Recommended U.S. Semester Credits
    3
  • Recommended U.S. Quarter Units
    4
  • Overview

    DESCRIPTION:
    Confidence interval for one mean, one variance, and one proportion. Hypotheses testing. Parametric tests for one mean and for the difference between two means. Parametric tests for one standard deviation and for the difference between two standard deviations. Parametric tests for one proportion and for the difference between two proportions. Test for independence of two qualitative/categorical variables. One way analysis of variance. Simple and multiple correlation and regression.

    RATIONALE: 
    The course focuses on inferential statistics and correlation/regression analysis. The student learns how to construct confidence intervals and perform various tests of hypotheses, examine two variables for correlation, and use the least squares method for fitting regression equations to a set of data.

    LEARNING OUTCOMES: 
    1. Construct confidence intervals and apply tests of hypothesis concerning one mean, one standard deviation, one proportion.
    2. Apply tests of hypothesis concerning the difference of two means, the difference of two proportions, and the difference of two standard deviations.
    3. Apply the test for independence of two qualitative/categorical variables.
    4. Apply the method of one analysis of variance to perform the test of the equality of k-means.
    5. Apply simple and multiple correlation and regression.
    6. Utilize EXCEL for data presentation and probability calculation and interpret relevant outputs.

    METHOD OF TEACHING AND LEARNING:
    In congruence with the teaching and learning strategy of the college, the following tools are used:
    - The concepts of the course are introduced, exemplified and illustrated through extensive problem solving. Homework will be regularly assigned and discussed in class with students actively participating in the discussion. Computer software will be available both as a teaching aid and as a medium for solving problems.
    - Office hours: students are encouraged to make full use of the office hours of their instructor, where they can ask questions, see their exam paper, and/or go over lecture material.
    - Use of a blackboard site, where instructors post lecture notes, assignment instructions, timely announcements, as well as additional resources.