Goals for the Course
Upon completing General Statistics, you will:
Homework and Activities
Most sections of the text (called topics)
will consist of preliminary questions (often involving gathering of
data), several in-class activities, and a few homework problems. As
opposed
to passively taking notes while I lecture, you will spend the vast
majority
of class time actively engaged with the material. You will work through
activities carefully designed to lead you to discover fundamental
statistical
ideas for yourself. You will be encouraged to work collaboratively with
a partner on most of these activities, and some will require the use of
the computer. My role during class time will be to mill about the
classroom,
answering your questions and prodding you toward a better understanding
of the material. I will also lead class discussions and present
explanations
where appropriate. You are encouraged to work together on the
assignments, but your answers
must
be written up individually in your own words. I will collect the
homework from each topic as well as one or two of the activities for
grading. There will be approximately 400 points for homework and
activities.
Class Participation and Attendance
There will be 100 points of your final grade based on your class
participation
(asking questions, taking part in discussions, contributing to your
group in activities, etc.) and attendance. I will determine your score
for these 100 points. You are responsible for all of the material
covered in
class each day, even if you are not present. The key to success in this
class is to take all of the activities seriously and keep up with the
pace of the class.
Course Grades
Grades, based on the letter, or A, A-, B+, B, B-, . . . system, will be
based on a weighted curve of the points in the class. The curve used
will be the traditional 100-93 A, 92-90 A-, 89-88 B+, etc. (or an
easier curve). The breakdown of points in the class is given below. There
is no extra credit for this class. You are encouraged to work
together on group assignments (including homework), but copying answers
of
others (including those in the back of the text) will result in
no credit. We expect you to uphold Central's Academic Honesty
Policy given below.
| Each of Exams 1, 2, 3 |
3 x 100
|
| Final Exam |
150
|
| Quizzes |
100 |
| Homework and Activities |
400
|
| Class Participation |
100
|
| Total Points |
1050
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2: Data and Distributions |
1.7, 1.11, 1.12 and 1.17 Due Th 8-23
2.12, 2.13, and 2.17 due Tues 9-2 |
| 2 |
Sept
2-4 |
3:
Drawing Conclusions from Studies 4: Random Sampling |
3-8,3-15,3-16,3-26
due Th 9-4 4-14, 4-16, 4-20 due Tues 9-9 |
| 3 |
Sept
9-11 |
5:
Designing Experiments 6: Two Way Tables |
5.9, 5.12, 5.14, 5.21, due Th 9-11 6.8, 6.9, 6.11 due Tues 9-16 |
| 4 |
Sept
16-18 |
7:
Displaying and Describing Distributions |
7.10, 7.15, 7.16, 7.17 due Th 9-18 |
| 5 |
Sept
23-25 |
Exam 1 8: Measures of Center |
8.18, 8.20, 8.22, 8.26 due Tuesday 9-30 |
| 6 |
Sept
30 Oct 2 |
9: Measures of Spread | 9.7, 9.10, and 9.19 due Th 10-2 9-8,9-11,9-14 and 9-25 due Tues 10-7 |
| 7 |
Oct
7-9 |
10:
Box Plots, Five Number Summary, and An Outlier Criterion |
10-4, 10-6, 10-7, 10-16 due Thurs 10-9 |
| 8 |
Oct
14 |
11: Probability | 11-8, 11-12, 11-19 due Tues 10-21 |
| 9 |
Oct
21-23 |
12: Normal Distributions | 12-5,12-9,12-16,12-19 due Tues 10-28 |
| 10 |
Oct
28-30 |
13:
Sampling Distributions: Proportions Exam 2 |
13-5a,d,e,h,m,o, 13-10, 13-12 due Th 10-30 |
| 11 |
Nov
4-6 |
14: Sampling Distributions: Means 15: Central Limit Theorem |
14-3, 14-7, 14-9, 14-10 due Th 11-6 15-6, 15-9, 15-11 due Tues 11-13 |
| 12 |
Nov
11-13 |
16: Confidence Intervals: Proportions | 16-7,16-12,16-14,16-19 due Tues 11-18 |
| 13 |
Nov
18-20 |
17: Tests of Significance: Proportions | 17-6, 17-8, 17-10 due Tues 11-25 |
| 14 |
Nov
25 |
19: Confidence Intervals: Means 20: Significance Tests: Means |
19-7, 19-14, 19-16, 19-19 due
Tues 12-2 20-7, 20-10, 20-11 due Tues 12-9 |
| 15 |
Dec
2-4 |
26: Graphical Displays of Association 27: Correlation |
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| 16 |
Dec
9-11 |
28: Least Squares Regression 29: Inference on Regression |
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