Probability and Statistics:
SREB Middle Grades Series
 

 

Text:   Elementary Statistics, A Step by Step Approach, Bluman, 5th edition Textbooks are available from the Darton College Bookstore.    
  
Calculator:   TI 83, TI-83 Plus, or TI 34 II Explorer Plus
   
Computer:  

Internet connection, Real Player, and a sound card are required. More information on recommended computer specifications are available at the Darton College Distance Learning Website.   Prior to the first day of class, go to the Browser Tune-up page to prepare your computer for viewing online course content.
 



Course Information 

This course is designed for middle grade teachers.  The course includes topics such as frequency distributions, graphing techniques, descriptive measures, counting techniques, probability, simulation techniques, normal distributions, and confidence intervals.  Applications will be included in each topic of discussion.  Enrollment in this course is limited to middle grade teachers. Credits: 3.00 Semester Hours

Course Objectives

It is expected that the student will demonstrate appropriate skills in the topics listed above in the Course Information.  Specific Expected Educational Outcomes are also listed below.

Attendance

There is not a special attendance requirement for this course.  Students are responsible for all lecture material, reading assignments, assigned exercises, and additional assignments.

Course Work

Your grade in this course will be based on the following:

Quizzes, labs, and other assignments* 30%
Course Project 10%
Midterm Exam** 30%
Final Exam** 30%

*Your grade for quizzes, labs, and other assignments will be computed as the average of your scores.  The lowest two grades in this category will be dropped before the average is calculated.

**The Midterm and Final exams must be taken by the dates indicated on the course calendar.  It is your responsibility to locate an appropriate proctor for your exams.  Exams must be taken at a Testing Center at a local college or university. Exams may also be proctored by an approved college professor.  Proctors must be approved by the instructor at least two weeks prior to the first exam.

Graded Assignments

Assignments that are to be turned in to your instructor may be faxed (229 - 430 - 6964) or emailed as an attachment through WebCT. 

Makeup Policy

Makeup exams will not be given for any reason.  Quizzes, lab projects, and other similar assignments must be turned in by the dates indicated on the course calendar.  Assignments to be graded will not be accepted late.
    
Grading Scale

Letter grades will be assigned as follows.  Note that you must satisfactorily complete the course to receive staff development unit credit.

A:  90 - 100%
B:  80 - 89%
C:  70 - 79%
D:  60 - 69%
F:    0 - 59%

Students with Disabilities

In compliance with the Americans with Disabilities Act (ADA), Darton College will honor requests for reasonable accommodations made by individuals with disabilities. Students must self disclose their disability to the office of Disability Services before academic accommodations can be implemented.

 

Expected Educational Outcomes

It is expected that at the end of the course, all of the following educational outcomes will have been met.

Probability Objectives

  1. to identify possible outcomes of a simple experiment and calculate the probability of the event.

  2. to identify appropriate counting techniques and calculate possible outcomes

  3. to explore the relationship between experimental and theoretical probabilities including: making predictions of outcomes, conducting simulations, and analyzing results of simulations

  4. to conduct a compound experiment and analyze the results

  5. to model situations using simulations

  6. to apply probability in a practical, real-life setting

  7. to explore concepts of chance

  8. to calculate odds and relate them to probability

  9. use appropriate technology for computation and exploration of probability

Statistics Objectives:

  1. to explore and use a variety of data collection methods

  2. to formulate and solve problems that involve collecting and analyzing data

  3. to construct, read and interpret displays of data (i.e. scatterplots, box and whisker plot, circle graphs, histograms, bar graphs, stem and leaf plots, line plots, line graphs, pictographs, frequency distributions)

  4. to make inferences and convincing arguments that are based on data analysis

  5. to evaluate arguments that are based on data analysis

  6. to develop an appreciation for statistical methods as a powerful means for decision making process

  7. to select an appropriate graph and scale for displaying data (i.e. scatterplots, box and whisker plot, circle graphs, histograms, bar graphs, stem and leaf plots, line plots, line graphs, pictographs)

  8. describe a set of data using measures of central tendency (mean, median, mode)

  9. select, justify, and use an appropriate measure of central tendency to describe a set of data (mean, median, mode)

  10. describe a set of data using measures of dispersion (standard deviation, variance, range, interquartile range)

  11. select, justify, and use an appropriate measures of dispersion (standard    deviation, variation, range, interquartile)

  12. to hypothesize outcomes of experiments

  13. to calculate and interpret measures of position (quartiles, percentiles, median, stanine, deciles)

  14. to identify, locate and explore resources for real world data (internet, almanacs, people, census)

  15. to design, construct, administer, analyze, and interpret surveys experiments to investigate real world problems

  16. to calculate measures of central tendency and dispersion using appropriate tools

  17. to make predictions and conclusions based on data displays

  18. to recognize when statistics have been used incorrectly (in the media, in polls, or other interpretations)

  19. to use statistics to persuade an audience

  20. calculate confidence intervals of the population mean
  21. identify the properties of a normal distribution
  22. find probability using the standard normal distribution