Days:
Monday & Wednesday
Time:
6:00 PM 8:25 PM
Prerequisite: Successful completion of Math 154 with a grade of C or better or
the appropriate skill demonstrated through the math assessment process.
Course Description: This
course covers elements of probability, frequency distributions, graphs and
measures of central tendency, function of random variables, probability
distributions, sampling, hypothesis testing, confidence intervals, regressions
analysis, and analysis of variance (ANOVA).
Office
Hours: Monday,
Wednesday:
2:00 PM to 3:00 PM
Tuesday &
Thursday:
12:00 PM to 1:00 PM
Friday:
10:00 AM to 11:00 AM
Office
Location: D
127
Office
Phone: (530)
541 4660 ext. 287
Text:
Introductory Statistics, by Jay Devore and Roxy Peck.
Grading
Scale: A
90 100%
B
80 89%
C
70 79%
D 60 69%
F 59% and below
Grade
Breakdown:
Exams:
45%
Project:
15%
Homework:
15%
Final:
25%
Exams:
There will be 3
exams, usually occurring on Wednesdays. Students
are to bring calculators, pencils or pens, and paper to each exam. A one page (standard size) front and back formula sheet may
be used during each exam. Grading
will based on the progress towards the final answer, and the demonstration of
understanding of the concept that is being tested, therefore, work must be shown
in detail. If all homework
assignments are turned in for the quarter, then the midterm with the lowest
score will be dropped.
Project:
Each student
in the class will develop a hypothesis that involves paired data. A group of
several students will individually collect data to test the hypothesis. A report
will be turned in that discusses the results of the test, the method of the
test, and the validity of the test. The report must be more than two pages not
including raw data and graphs. Included in the report will be all applicable
methods of data interpretation that we have learned in class. More details will
be given in class.
Homework: Students are encouraged to collaborate with each other on the homework. They may also gain assistance in the Gateway Math Center and with the instructor. Calculators and computers can also be of assistance. Homework will be collected each week during the last class meeting of that week. If all homework is completed and collected on schedule, the student may drop her/his lowest exam score.
Final: There will be a comprehensive final exam given on Wednesday, Dec 6 at 6:00 PM. Students may bring a two-page formula sheet use during the final exam.
Extra Credit:
Any student
who has turned in every homework assignment may elect to work on an extra credit
assignment or project that will count as additional points towards either a
midterm or the final.
Attendance: If a
class is missed, it is the responsibility of the student to check what was
missed. If a student is to miss an
exam or a quiz, it is the responsibility of the student to contact the
instructor prior to the exam or quiz and make arrangements for taking the exam
or quiz. This does not mean that you call me 10 minutes before class time to
notify me of your pending absence. If
a student is ill, in an accident, or meets with other such unavoidable
situations, the student may make up the exam if proper documentation is
presented legitimizing the absence. (Such
documentation can be a doctors note on appropriate letterhead, police report
of an accident, etc.)
Note:
Please be polite and deactivate audio devices prior to entering class.
Pagers and Cellular phones are distracting. Please
do not receive calls during class time.
Tentative
Assignments:
Section:
Problems
1.1 Reasons For Statistics Read Only
1.2 Sampling
and Experimentation
2,3,5,6
1.3 Population
Samples and Statistics
8,11,13,14
2.1 Data
Types
1,4
2.2 Stem and
Leaf Displays
5,8,11,13
2.3 Frequency
Distributions
14,17,20,26
2.4 Histograms
28,33,36,40
2.5 Interpretations Read Only
3.1 Mean,
Median, & Proportion
1,4,6,11,13
3.2 Variance
& Standard Deviation
14,17,20,24
3.3 Data
Summary
28,33,41
3.4 Interpretations Read Only
4.1 Experiments
& Events
1,3,6,9,10
4.2 Probability
11,14,15,18,22
4.3 Conditional
Prob. & Independence
27,28,33,37
5.1 Random
Variables
1,5,6
5.2 Probability
Distributions
8,15,16
5.3 Mean
& Standard Deviation
20,24,27,30
6.1 Continuous
Probability Distributions
1,2,6,7
6.2 The
Normal Distribution
9,11,14,17,18,25,27
7.1 Statistics
& Random Samples
2,3,5
7.2 A Sampling
Experiment
14,17
7.3 Sample Mean
Distribution
18,23,24,29
7.4 Sample
Proportion's Distribution
30,33,35
8.1 Point
Estimation
1,2,3,8,11
8.2 Confidence
Intervals
12,15,18,20,23,25,26,28
8.3 Confidence
Intervals For Proportions
30,31,34,37,41
8.4 Small
Sample Confidence Intervals
43,45,48,51
8.5 Interpretations Read Only
9.1 Hypothesis
Testing
1,2,4,5,7
9.2 Errors
In Hypothesis Testing
9,10,11,13,14,15
9.3 Hypothesis
Testing For a Pop. Mean
16,23,24,27,30
9.4 p-Values
34,37,40,42,43
9.5 Hypothesis
Test For a Proportion
45,47,48,54,55
9.6 Small
Sample Hypothesis Testing
56,60,61,64,67
9.7 Interpretations Read Only
10.1 Difference
Between Pop. Means
1,2,4,7,8,9,11,13,16
10.2 Small
Sample Diff. Between Means
19,21,24,25,27,30,31
10.3 Paired
Data
33,36,38,39,41,42
10.4 Two
Population Proportions
44,47,48,51,52,54
10.5 Interpretations Read Only
11.1 Scatter
Plots
1,2,3,7
11.2 Regression
Lines
8,9,11,13,14,15
11.3 Assessing
the Fit
16,19,20,21
11.4 Correlation
24,25,26,28,35
11.5 Interpretations Read Only
12.1 Linear
Regression
1,5,9,11,12
12.2 Inferences
On Slope
16,18,21,24,26
12.3 Inferences
On Prediction
28,35,36
12.4 Inferences
On r
43,44,45
12.5 Interpretations Read Only
14.1 Chi-Square
2,4,5,7,9
14.2 2 Way
Tables
10,15,18,19,20
14.3 Interpretations Read Only