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Course Description

    This course is an introductory study of the fundamentals of modern statistics and probability.  The main topics covered include descriptive methods, includive statistics, probablitlity estimation, test of hypotheses, linear regression, linear correlation coefficients, Chi-Square test of independence and goodness to fit, along with othe selected topics as time allows. NOTE: a graphing calculator is reuried for this course.

Course Schedule:

    1. Assingnments will be given over each lesson.

    2. tests will be given at the conclusion of each chapter.

    3. A final will be given at the conclusion of the course.

Learning Assessments:

    1. Assignments will be given for each section of each chapter.

    2. Tests will be given over each chapter.

    3. Homework will be 10% of the overall grade and tests will be 90%.

    4. A comprehensive final will be given.

Instructional Method:

    1. Notes will be taken.

    2. Lecture style with marker board.

    3. Handouts will be given with assignment attatched.

    4. Graphing calcualtors will be used throughout.

Course Policies:

    1. All missed lectures and assignments must be made up on the students time.

    2. Missed tests will be made up the next day the student returns to class or before.

Course Competencies

    1. Be able to utilize the methods of descriptive statistics.

    2. Be able to utilize the methods od inductive statistics

    3. Prepare frequency distributions from raw data along with necessary calculations

    4. Construct histograms, pie charts, ogives, box plots, and other types of charts

    5. Calculate mean, median, mode, percatile, sample variation, and sample standard

    6. Use Chebyshev's Theorem and the Empirical Rule.

    7. Utilize the various aspects of elementary probablity, including the addition law, multiplication law, conditional probability, counting techniques, and probability distributions.

    8. Utilize the definition of random variables.

    9. Do calculations using binomial and normal distribution.

    10. Do calculations using sampling distibution of the mean

    11. Calculate point estimates and confidence intervals

    12. Perform hypotheses tests on a single population or two populations and utilize, describe, and analyze, the P-value for a hypothesis test.

    13. Perform tests of hypothesis {involving large samples, small samples, proportions and paired differences to compare two populations} to draw differences.

    14. Perform linear regression for analyses for various samples

    15. Utilize linear correlation coefficients to analyze data.

    16. Utilize Chi-Square tests of independence and goodness of fit to investigate how various sample distributions describe data.

    17. Use the tutorial-based quizzes available online through various sources [ such as "HMathSpace" at Houghton Mifflin's Website] to complete statistical application problems

    18. Use of a software statistical package with analysis or online quiz materials to faciliate writing assignments in-class regarding the analysis of statistical readouts.  The purpose og the writing assignments will be to allow students to analyze data sets critically and to demonstrate that they can think critically about statistics material and conclusions.