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In this course, you will learn elementary descriptive and inferential statistical methods and concepts to aid you in understanding the results of statistical studies and to enable you to perform basic data analyses within your area of interest. Among the many statistical techniques, you will learn data collection methods, concepts of probability, various ways to present data graphically, and how to use data to make inferences.
Entry Level Competencies:The prerequisites for this course are Competency in Math Essentials Units MTE 1-5 as demonstrated through the placement and diagnostic tests, or by completion through unit 5 in an MTT course. |
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Possible Assignments Include: (Subject to change each semester. The actual assignments are available in the Syllabus in the Blackboard course site on the first day of classes.)
Assignment |
Points |
Percentage of Grade |
Introduction (DB) |
10 |
1% |
Application Assignment (DB) |
25 |
2.5% |
Case Study Assignment (DB) |
25 |
2.5% |
Regression Analysis (DB) |
50 |
5% |
Final Reflection (DB) |
20 |
2% |
Quizzes in MyStatLab (10 @ 15 points each)
*2 attempts allowed per quiz |
150 |
15% |
Proctored Exams (3 @ 140 points each) |
420 |
42% |
MyStatLab Exams (2 @ 75 points each) |
150 |
15% |
MyStatLab Homework (5 @ 30 points each)
"collected" before each exam |
150 |
15% |
Total |
1000 |
100% |
Your final grade may be based on the following scale. Please note that you must also pass the three (3) proctored exams in order to pass the course, regardless of your scores on the other assignments.
Grade |
Points |
Percent |
A |
900-1000 |
90-100 |
B |
800-899 |
80-89 |
C |
700-799 |
70-79 |
D |
600-699 |
60-69 |
F |
0-599 |
0-59 |
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