Course Outline & Timeline
Statistics
Mr. Jordan Roy, Instructor
Course Philosophy – This course is a traditional representation of introductory statistics.
The goal will be to
introduce students to the different topics associated with a classic statistics course with emphasis on algebraic
applications. The daily completion of readings and homework problems will be essential and required. Students
will be taught proper techniques in calculating values, reviewing data, and preparing data charts. Finally, it is my
hope that the course will be interesting, relevant, and challenging. I will do all I can to assist, be available for, and
offer encouragement to you. United in an unwavering commitment to mathematic excellence, we will succeed.
Course Outline – Third Quarter
Course Outline – Fourth Quarter
Introduction to Statistics
Descriptive Statistics
Probability
Discrete Probability Distributions
Normal Probability Distributions
Confidence Intervals
Hypothesis Testing with One and Two Samples
Correlation and Regression
Chi-Squared Tests and F-Distribution
Grades
Grading Policy & Scale
Grade Opportunities
100 – 93
92 – 86
85 – 78
77 – 70
69 – 0
Homework
Tests
Exam
A
B
C
D
F
15%
50%
35%
Homework:
Students will have homework most every day to complete. This homework will be a combination
of problem - solving from the textbook and other prepared problems from outside sources. There will be usually 10
- 15 problems to complete each day. Students are also expected to do the reading and review of text material as a
chapter is begun. Successful completion of the homework is a major indicator of understanding and the student’s
ability to keep up with the class. Completed solutions for all problems will be provided to the student with a few
being demonstrated in class for clarification on concepts and techniques. Class time will not be given to
demonstrate all solutions. Students are encouraged to frequently visit Mr. Roy’s website for additional information
on assignments and presentations.
Tests:
Testing will mirror the material presented in class. Testing will include free - response problems and
objective testing. Tests are to be completed within the timeframe of the class period.
Exam:
An exam will be given at the end of each quarter that will comprise 35% of the grade. The second and
fourth quarter exams will be cumulative to their respective semesters with emphasis on the material cover in the
later quarter.
Make-up Work: The course will follow the policy stated in the Student-Parent Handbook as it pertains to
homework, tests, quizzes, and exams. Make-up work will always be scheduled for a time outside of class. Students
will be expected to come either before or after school according to a schedule offered by the instructor to make up
the work. Homework that is late beyond the 5-day limit will be scored as a 0 and will not be available for make-up.
Additionally, the work will be made up after school with the teacher. The student will be required to come each
afternoon until all work has been completed.
Bonus Work: This course has many opportunities for students to demonstrate their competence and skill.
Therefore, students are encouraged to make the most of each opportunity that is provided. The teacher will assign
bonus work each quarter. No other opportunities will be made available.
Classroom Decorum:
Conduct of a student is a choice and a statement of personal self-discipline. Students
are to enter the class quietly and in an orderly fashion and to prepare themselves for the start of class by having all
materials out and ready for when the class begins. Students are expected to stand and display reverence as the
prayer is offered to start the class. Students are expected to be respectful in times of discussion/presentation by not
talking while others are speaking. Courtesy and manners are to be extended to everyone in the class. Tardiness
for class without written validation will result in detention and for subsequent tardies, detention time will be
increased. Continued tardies, will result in referral to the Dean of Discipline’s office. Other policies of conduct
and dress code/grooming will be enforced according school policy. Finally, students are to not leave their desks
without permission of the teacher. Students who find themselves in contradiction to these expectations will be given
disciplinary measures by the teacher to re-establish a productive and positive outlook for them with the teacher and
the class. Note-taking and interaction with the teacher to ensure mastery of the material is expected and in the
absence of this, pop quizzes and notebook checks may occur. Learning is not a passive event nor can it be
accomplished without the student’s best effort daily.
Availability: Students are invited to seek additional help or assistance outside of class on Monday,
Tuesday, or Thursday mornings from 7:20 – 7:50 a.m. and on Wednesday afternoons fro 3:40 – 4:30 p.m.
I can also be reached by email at jroy@ststan.com and voicemail at extension 561.
Final Thoughts: This course is intended for students who have a desire to study statistics in preparation for
the remainder of their high school math coursework and hopefully, college level study. Remember that, if you are
faithful with your reading, studying, and completion of your homework, you will learn statistics! I am committed as
your teacher to giving you all that you need to be successful. I encourage you to seek additional help outside of
class after school as needed.
Materials List:
Pencils/Mechanical Pencils (no ink should be used on submitted assignments/tests)
Scientific Calculator (TI -83 or TI – 84 is fine)
1.5” binder with college-ruled loose leaf paper
Graph paper
Statistics Skill Set
Chapter 1
a)
b)
c)
d)
e)
f)
Distinguish between a population and a sample
Differentiate between a parameter and a statistics
Differentiate between descriptive and inferential statistics
Differentiate between qualitative and quantitative data
Demonstrate understanding of data classification based on levels of measurement
Demonstrate understanding of how data is collected using experimentation and sampling
Chapter 2
a)
b)
c)
d)
e)
f)
Construct a frequency distribution
Construct a frequency histogram
Graph quantitative data sets using stem-leaf plots & dot plots
Graph and interpret paired data using scatter plots & dot plots
Graph quantitative data using pie and Pareto charts
Solve for mean, mode, and median of a population and a sample
g)
h)
i)
j)
k)
l)
m)
n)
o)
p)
Find a weighted mean of a data set and the mean of a frequency distribution
Use shape of distribution curve to make comparisons of mean and median
Find the range of a data set
Find the variance and the standard deviation of a population and sample
Use the Empirical Rule and Chebychev’s Theorem to interpret standard deviation
Approximate the sample standard deviation
Find quartile and inter-quartile range of a data set
Draw box-and-whisker plot
Interpret other fractiles as percentiles
Find and interpret standard scores
Chapter 3
a)
b)
c)
d)
e)
f)
g)
h)
i)
j)
k)
Identify the sample space of a probability experiment
Use the Fundamental Counting Principle to determine event frequency
Distinguish between classical, empirical, and objective probability
Solve for probability of a complement of an event
Solve for conditional probabilities
Distinguish between independent and dependent events
Use the Multiplication Rule to find probability of two events occurring in sequence
Determine if two events are mutually exclusive
Use the Addition Rule to find the probability of two events
Grouping methods to select objects that may /may not be affected by order
Use counting principles to find probabilities
Chapter 4
a)
b)
c)
d)
e)
f)
g)
h)
i)
Distinguish between discrete and continuous random variables
Determine if a distribution is a probability distribution
Construct a discrete probability distribution to find mean, variance, and standard deviation
Find the expected value of a discrete probability distribution
Determine if a probability experiment is a binomial experiment
Use the binomial probability formula and table
Construct a binomial distribution to find the mean, variance, and standard deviation
Find probabilities using the geometric distribution
Find probabilities using the Poisson distribution
Chapter 5
a)
b)
c)
d)
e)
f)
g)
h)
i)
j)
Interpret graphs of normal probability distributions
Solve for & interpret z-scores
Find areas below a standard normal curve
Find probabilities for normally distributed variables
Find a z-score using area below the normal curve
Transform a z-score to an x-score
Find a specific data value of a normal distribution given the probability
Find sampling distributions and verify their properties
Interpret the Central Limit Theorem
Apply the Central Limit Theorem to find the probability of a sample mean
Chapter 6
a)
b)
c)
d)
e)
f)
g)
Find a point estimate and margin of error
Construct and interpret confidence intervals for the population mean
Determine the minimum size required when estimating 
Interpret and use a t-distribution table
Construct confidence intervals for small samples with a normal distribution
Find a point estimate for the population proportion
Construct a confidence interval for a population proportion
h) Determine the minimum sample size required to estimate a population proportion
i) Interpret chi-square distribution data and use a chi-distribution table
j) Use a chi-square distribution to construct a confidence interval for the variance and standard deviation
Chapter 8
a)
b)
c)
d)
e)
Differentiate whether two samples are independent or dependent
Perform a two-sample z-test for the difference between two means using large independent samples
Perform a t-test for the difference between two population means using small independent samples
Perform a t-test to test the mean of the differences for a population of paired data
Perform a z-test for the difference between two population proportions
Chapter 9
a)
b)
c)
d)
e)
Construct a scatter plot
Find a correlation coefficient
Perform a hypothesis test for a population correlation coefficient 
Find the equation of a regression line, y = mx + b
Predict y-values using a regression equation
f)
Find and interpret the coefficient of determination r2
g) Find and interpret the standard error of estimate for a regression line
h) Construct and interpret a prediction interval
Chapter 10
a)
b)
c)
d)
e)
f)
Use chi-square distribution to test whether a frequency distribution fits a claimed distribution
Use a contingency table to find expected frequencies
Use a chi-square distribution to test whether two variables are independent
Interpret the F-distribution and use an F-table to find critical values
Perform a two-sample F-test to compare two variances
Use one-way analysis of variance to test claims involving three or more means