Mr. Tamialis (e-mail: tamialisj@svusd.org)
Laguna Hills High School
Laguna Hills High School Vision Statement :
We believe that every student has the ability to succeed at LHHS and will be held accountable for
A
W
K
S
S
O
A his/her success.
Laguna Hills High School Learning Standards: “HAWKS SOAR!”
H Honorable
Accountable
Wise
Kreative
Studious
R
Sincere
Organized
Artistic
Respectful
Grades Based On:
Home work (show all possible work or no credit given)
Quizzes and Tests (average)
Semester Exam
TOTAL
15% of total grade
65% of total grade
20% of total grade
100% of grade
Grading Scale:
90 - 100% = A // 80 - 89% = B // 70 - 79% = C // 60 - 69% = D // below 60% = F
Absences : With an excused slip you may make up work missed within 2 days.
Calendar of Assignments, Tests and Quizzes and Grade Reporting:
Material covered and homework assigned are posted on my web page, accessed through the LHHS or
SVUSD web sites. Grades are updated online regularly and can be accessed through the Family Portal.
TESTS or QUIZZES MISSED DUE TO ABSENCES:
Excused Absences: Tests Made Up at 6:00 am on the next day back to school.
Home work (MUST HAVE HEADING

) NAME (printed) NO NAME = NO CREDIT
(Must be in upper right corner of page) Math Studies, period #
Date (assigned)
Pages / Problems <=missing: NO CREDIT
Late Homework
1 day late = 90% // 2 days late = 80% // 3 or more days late = 50%
More than 2 days late will have lunch detention assigned to make up missing work.
Notebook:
Have 2 dividers in a 3 ring binder.
Divider labels: (1) Warm ups / Notes / Class work
(2) Home work
Calculator
: Must have a “TI-83 Plus” graphing calculator
You’ll be sent out of class to get it and marked tardy for that class period.
See other side
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STATISTICS TOPICS
INTRODUCTION TO STATISTICS
Types of Data
Critical Thinking
Design of Experiments
SUMMARIZING AND GRAPHING DATA
Frequency Distributions
Histograms
Statistical Graphics
STATISTICS FOR DESCRIBING, EXPLORING, AND COMPARING DATA
Measures of Center
Measures of Variation
Measures of Relative Standing
Exploratory Data Analysis (EDA)
PROBABILITY
Fundamentals
Addition Rule
Multiplication Rule: Basics
Multiplication Rule: Complements and Conditional Probability
Counting
PROBABILITY DISTRIBUTIONS
Random Variables
Binomial Probability Distributions
Mean, Variance, and Standard Deviation for the Binomial Distribution
The Poisson Distribution
NORMAL PROBABILITY DISTRIBUTIONS
The Standard Normal Distribution
Applications of Normal Distributions
Sampling Distributions and Estimators
The Central Limit Theorem
Normal as Approximation to Binomial
Assessing Normality
ESTIMATES AND SAMPLE SIZES
Estimating a Population Proportion
Estimating a Population Mean: Known
Estimating a Population Mean: Unknown
Estimating a Population Variance
HYPOTHESIS TESTING
Basics of Hypothesis Testing
Testing a Claim About a Proportion
Testing a Claim About a Mean: Known
Testing a Claim About a Mean: Unknown
Testing a Claim About Variation
INFERENCES FROM TWO SAMPLES
Inferences About Two Proportions
Inferences About Two Means: Independent Samples
Inferences from Matches Pairs
Comparing Variation in Two Samples
CORRELATION AND REGRESSION
Correlation
Regression
Variation and Prediction Intervals
Multiple Regression
Modeling
MULTINOMIAL EXPERIMENTS AND CONTINGENCY TABLES
Multinomial Experiments: Goodness-of-Fit
Contingency Tables: Independence and Homogeneity