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Math

Math



For a full list of math classes available to LHS students, please click here.



Course Name: Probability and Statistics A Level 

Teacher Name: Mrs. Thomas

Did you know that every college major requires you to take a Statistics class even if your major is a non-math major? Get a head start before you go to college and take Probability and Statistics A.

Topics reviewed in this course include but are not limited to: basic measure of central tendency and variability, frequency distributions, probability, the binomial distribution, the normal distribution, sampling of distributions, estimation of parameters, confidence levels and hypothesis testing, simple regression and correlation analysis. The computer program Minitab will also be used in this course to help prep you for future college statistics courses.

This class is a great fit for all who have passed Algebra 2A and Geometry A. There are many students who take this course concurrent with Pre-Calculus or Calculus.


Course Name: Probability and Statistics B Level

Teacher Name: Ms. DeArville

Ms. DeArville said her new favorite math class to teach is PROBABILITY AND STATISTICS B level – At the perfect pace for those who might struggle with math comes Probability and Statistics B level.  You will learn about Standard Deviation, Confidence Intervals, Normal Distributions as well as Probability topics including permutations and combinations as well as other topics.

New topics, classwork, discussion and some homework (yes, you will have homework!) this class is a great fit for all who have passed Algebra 2B and Geometry B!   Many colleges and majors need a statistics course, even if your major is a non-math major.  There are statistics courses for Psychology and other liberal arts… Come learn the basics with us!

If you have done well in math and completed Algebra 2A and Geometry A, then sign up for Probability and Statistics A level and continue learning at the right pace for you!


Course Name: Trigonometry (B level) 

Teacher Name: Ms. DeArville

Trigonometry is a great class for all who have passed

Algebra 2B and Geometry B: (If you passed Algebra 2A and Geometry A – you will be able to see Trigonometry concepts when you take Pre-Calculus.)

My favorite lesson in Trigonometry is when we go outside and measure the angle of elevation to the top of the flagpole and then find the height of the flagpole using a simple equation.  It is great to see how it is used in the real world.  Many careers use Trigonometry including Criminology, Architecture, Construction, Game Development, Surveying, Aviation and even Music Theory and Production!


Course Name: Finite Math 

Teacher Name: Mrs. Bound

This course will deal with various advanced mathematics topics and their connections to real life modeling problems and business applications. Topics will include linear equations, matrices, linear programming, graphing and simplex method, finance, sets and counting, and logic.

Students can borrow/purchase a graphing calculator and will learn the essential functions to complete problems.

This course is good for students going to school for business or non-math related major but still interested in the real life applications of what math means to them.  You will be graded on homework, classwork, quizzes, tests, projects, and group work.

This is a one semester course for students coming from either Geometry A or CP Precal A and not interested in taking Calculus.

This class earns 3 credits as a Project Running Start dual enrollment through Manchester Community College.


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Course Name: AP Statistics 

Teacher Name: Ms. Viel

Interested in mathematics, engineering, business, biological sciences, or the social sciences? Or just want to know how to get better use out of your graphing calculator!? Then consider enrolling in AP Statistics! The purpose of AP Statistics is to introduce students to the major concepts and tools for collecting, analyzing, and drawing conclusions from data. This will be accomplished through the following major units of study: I Exploring Data; II. Sampling and Experimentation; III. Anticipating Patterns; and IV. Statistical Inference.

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