Math Department
James Reilly
Probability and Statistics Syllabus
2015-2016
Welcome to Probability and Statistics
Probability and Statistics Course Description:
Probability and Statistics is a year-long course designed to introduce the methods used in the field of applied
statistics. Emphasis is given to basic concepts and techniques for collecting and analyzing data, drawing
conclusions, and making predictions. The major focus of this course is to provide students with experience in
using the computer to solve problems which can be set up as mathematical models.
In Prob/Stat this year the student will be able to:
1. Demonstrate the concept of randomness and simulation as it relates to experiment designs.
2. Generate and represent data using graphical displays.
3. Describe data and distributions using measurements of central tendency, variation, and positioning.
4. Demonstrate ability to understand and calculate simple probability.
5. Demonstrate ability to use the formulas for permutations, combinations, and individual and compound events
to solve problems in counting theory.
6. Demonstrate ability to construct and calculate probabilities associated with distributions of random variables
and probability functions based on these variables.
7. Demonstrate ability to work with the normal distribution as it relates to a continuous variable.
8. Demonstrate understanding of Central Limit theorem as it applies to a sampling distribution.
9. Demonstrate the ability to construct a confidence interval for a population parameter.
10. Demonstrate the ability to use hypothesis testing to a test claim about a population.
11. Demonstrate the ability to use and analyze simple linear regression for bivariate data.
12. Demonstrate the ability to apply Chi-square distributions to contingency tables.
13. Apply statistical concepts learned to an individual cumulative project.
Supplies Needed:
1. 1” three ring binder
2. Paper
3. Pencils/Ink Pen/Expo markers
4. TI-83+ or TI -84 graphing calculator or
equivalent
5. Flash Drive
Grading:
Grading for each nine week period will be based on tests, project, quizzes, graded assignments, class work, and
homework.
Class Work/Homework
10%
Quizzes
30%
Graded Assignments
20%
Tests/Projects 40%
Expectations:
1. Students are required to behave in a mature manner at all times. Classroom courtesy and respect will
serve as our guide for the classroom. During class, students are required to work!
2. Students are to bring required materials to class each day. Required materials include textbook,
homework, notebook with contents, graphing calculator, pencil, ink pen, and Expo marker.
3. Homework will be assigned every day.
4. The tardy bell signals the beginning of class. The student should be in his /her assigned seat.
5. It is the responsibility of the student to maintain the cleanliness of the student desk and work area.
6. Snacks, gum and drinks are not allowed in the classroom. Only clear water will be allowed in classroom.
7. Restroom passes will be issued for emergencies only.
8. Class ends upon teacher dismissal.
9. All students are to make up assignments missed when absent or tardy. Make-up work must be
completed according to school policy. It is the responsibility of the student to meet with the teacher to
arrange for make-up work.
10. Cell phones and similar electronic devices are not to be used without teacher permission.
11. Students are expected to follow the guidelines established by the KWHS Code of Honor and Integrity.
Course Outline:
Dates are subject to change. Please refer to the school calendar and pacing guides online.
1st 9-weeks (Q1)
Demonstrate
knowledge of statistical
terms, types of data,
and identify variables.
List steps necessary for
collection of data
Identify the methods of
sampling; random,
systematic, stratified,
and cluster
Interpret and Apply
graphical displays of
data
Calculate and use the
measures of Central
Tendency, Dispersion,
and Measures of
Position
Important Dates:
Nov 3rd (no school)
Nov 9th (early dismissal –
end of Q1)
Interims:
Oct. 7th/8th
2nd 9-Weeks (Q2)
Introduce
Probability
3rd 9-Weeks (Q3)
Identify Sampling
Methods
Computer
Permutations and
Combinations
Define and Apply
definitions used in
Hypothesis Testing
Probability of
Compound Events
Use the z-test to test
large sample means
Construct and Find
Standard Deviation
of Distributions
Use the t-test to test
small sample means
Compute Mean for
Binomial
Distribution
Use the chi-square test
to test variance and
standard deviation
4th 9-Weeks (Q4)
Calculate Correlation Coefficient
Calculate equation of the regression
line
Test for goodness of fit using Chisquare
Test two variables for independence
using chi-square
Test hypothesis using various
methods
Design and Conduct an experiment
Construct and
Interpret Confidence
Intervals
Nov 19th Parent
conferences (early
dismissal)
Nov 25-27th (no school)
Dec 19th (early dismissal)
Dec 21st – Jan 1st (no
school)
Jan 18th (no school)
Exams Jan 25th – 28th
Jan 28th (end Q2)
Jan 28th (end S1)
Jan 29th (no school)
Feb 1st – S2 starts
Feb 15th (no school)
Mar 2nd (early dismissal)
Mar 28th - Apr 1st (no
school)
April 8th (early dismissal
- end of Q3)
Dec. 14th/15th
Mar 3rd/4th
May 27th (early
dismissal)
May 30th (no school)
June 10th (end Q4)
Exams June 13th - 16th
June 17th (end S2)
May 11th/12th
Student’s Name: _______________________________________________________________________
Please Print
I have read the syllabus for the course listed above, and I understand and will comply with its contents.
__________________________________________
Student’s Signature
___________
Date
PARENT/GUARDIAN:
I have read this syllabus and will expect my son/daughter to comply with its contents.
__________________________________________
Parent’s Signature
____________
Date
Please place this syllabus in your notebook for reference
I am available for student/parent conferences, make-up work, or additional help before or after school. Please
call me at 804-769-3434 or e-mail me at jreilly@kwcps.k12.va.us whenever I can be of assistance to you.
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