COURSE PRESENTATION
Summer 2017
Course:
Course: Math 1115-S10
Classroom: Fir 336
Lab Room #:
Phone/VM:
Email: Mary.hosseinyazdi@kpu.ca
1.
Instructor:
Class Hours:
Lab Hours:
Office Room #
Office Hours:
Mary Hosseinyazdi
Tue/ Thu 4-5:50 PM
Arbutus 3670
Tuesday and Thursday 2-4 pm
COURSE FORMAT
Lecture
2.
COURSE DESCRIPTION
Students will summarize and display data and perform inferences about proportions, means and
standard deviations for one and two populations. Students will summarize and display data, find
confidence intervals, and perform hypothesis tests for proportions, means, and standard deviations, for
one and two populations, both large and small. They will also perform regression analysis, and determine
probabilities.
3.
COURSE OBJECTIVES
A student who successfully completes the course will have reliably demonstrated the ability to:
Summarize data using appropriate tables, summary statistics and plots
Make inferences about populations based on samples
Choose an appropriate methodology for sampling
Critically read statistical reports
Find the probabilities for simple events
Use software for statistical purposes
4. REQUIRED TEXTBOOKS AND MATERIALS:
Textbook: “Introduction to the Practice of Statistics”, Moore, McCabe and Craig, 8th Ed.
5. SUPPLIES:
A scientific calculator that will perform the basic arithmetic, and statistical functions (including
automatically calculating standard deviation and linear regression) will be required for classes, tests
and the final examination. Acceptable calculators include: TI-30XIIS and Sharp EL-531.
Graphing or programmable calculators are not allowed in tests and exams.
A geometry set that contains a ruler, a compass and a protractor.
6. TENTATIVE SCHEDULE OF TOPICS
1
SESSION
Week 1
DATE
2017
May 9
Jun 1
Introduction- Displaying
distributions with graphs
Describing distributions with
numbers
Density curves and Normal
Distributions
Scatterplots and correlation
Least squares regression composite
Correlation and regression.
Causation
Quiz 1 (30 minutes)- Sources of
data.
Design of experiments
Jun 6
Jun 8
Sampling design Polynomial
Statistical inference
May 11
Week 2
May 16
Week 3
May 18
May 23
Week 4
May 25
May 30
Week 5
CONTENT
Section
1.2
1.3
1.4
2.1-2.3
2.4
2.5
3.1
3.2
3.3
3.4
Week 6
Jun 13
Midterm 1
Jun 15
Jun 20
Jun 22
Jun 27
Jun 29
4.1, 4.3
4.4
4.5
5.1
5.2
Week 10
Jul 11
Randomness, Random variables
Means and variances of random
Probability rules
The sampling distribution of a
Sampling distributions for counts
and proportions
Quiz 2 (30 minutes)- Estimating
with confidence
Tests of significance
Power and inference as a decision
Week 11
Jul 13
Jul 18
Jul 20
Inference for population mean
Comparing two means
Midterm 2
7.1
7.2
Week 12
Jul 25
Jul 27
Inference for standard deviation Sum
7.3
Week 13
Aug 1
Aug 3
Inference for a single proportion
Comparing two proportions Catch
Regression revisited
8.1
8.2
10.1, 10.2
Week 7
Week 8
Week 9
Jul 4
Jul 6
Final exam Thu Aug 10- 3:30-6:30 PM
7. DETAILED SUMMARY OF EVALUATION SCHEME
2
6.1
6.2
6.4
Assignments
10%
2 Quizzes (multiple choice) 20% (10% each)
2 Midterms
40% (20% each)
Final
30%
Grade
Grade
Conversion Scale
Points
(%)
A+
4.33
90 - 100
A
4.00
85 - 89
A-
3.67
80 - 84
B+
3.33
76 - 79
B
3.00
72 - 75
B-
2.67
68 - 71
C+
2.33
64 - 67
C
2.00
60 - 63
C-
1.67
56 - 59
D
1.00
50 - 55
F
0.00
0 - 49
Definition
Exceptional Achievement
Outstanding Achievement
Excellent Achievement
Very Good Achievement
Good Achievement
Good Achievement
Satisfactory Achievement
Satisfactory Achievement
Minimal Achievement. This grade does not
permit student to pursue another course for
which the graded course was a prerequisite.
Minimal achievement. This grade does not permit
student to pursue another course for which the
graded course was a prerequisite.
Unsatisfactory achievement. Student did not
meet minimum course requirements.
8. INSTRUCTOR/CLASSROOM POLICIES:
Take responsibility for your learning. Attend all classes; arrive on time; complete all assigned
work; assign yourself extra work; ask questions if you don’t understand; read textbook and study
the examples; don’t fall behind.
Take advantage of the instructor’s office hours if you need extra help. Don’t wait until exam time
to review concepts. Continuous review throughout the semester is the best way to be prepared
for midterms and final.
Cell phones and other electronic devices must be turned off and put away while in class.
9. INSTRUCTOR POLICY ON LATE ASSIGNMENTS:
Missed tests and quizzes will not be rescheduled. If you miss a test or a quiz because of a major
illness or unavoidable emergency, you must contact the instructor immediately to explain the
situation, and provide written documentation from a medical or other professional confirming
the reason for your absence. In this case, the test will be omitted and the weight of the test will
3
be moved toward final exam. Otherwise, all missed test receive a score of zero. Assignment will
not be accepted late.
10. WITHDRAWAL DATES (see http://www.kpu.ca/registration/dates/full-semester)
May 7, 2017
May 14, 2017
May 15, 2017
May 19, 2017
June 22, 2017
Last day to drop without ‘W’ (100% refund)
Last day to add/drop without ‘W’ (70% refund)
Withdrawal/no refund period commences
Fee payment deadline (late penalties will be applied to payments not
received by the deadline)
Last day to withdraw with a ‘W’ grade
11. KPU POLICIES
All KPU policies can be found at: www.kpu.ca/policies
Policy No. HR15 – Diversity and Inclusiveness
Policy No. ST2 – Plagiarism and Cheating
Policy No. ST11 – Attendance and Performance in Semester and Other Term Based Courses
4