Ch 19: MCAS STE Biology: Using Mathematics in Science

About This Chapter

Use the lessons in this chapter to study up on the relationship between math and science. Learn how mathematical equations are used to understand scientific data so you can prepare for the MCAS STE Biology exam.

MCAS STE Biology: Using Mathematics in Science - Chapter Summary

Having an understanding of mathematical concepts is crucial for interpreting data collected from scientific experiments. To help you feel prepared for questions related to analyzing and representing data on the MCAS STE Biology exam, the lessons in this chapter will review the following:

  • Equations with decimals
  • Math estimations
  • Percents and scientific notation
  • Ratios and proportions
  • Pie charts and bar graphs
  • Histograms and frequency distributions
  • Plotting points on the coordinate plane
  • Various linear equations
  • Slopes, rates of change and tangents
  • Calculating conditional probabilities
  • Algebraic expressions
  • Measures of central tendency and variability
  • Correlation v. causation

Each of the lessons include a video created by educational professionals to provide you with a visual understanding of the information being covered. There is a clickable timeline below each video you can use if you would like to review a certain portion of the lesson. Take the self-assessment quizzes at the end of each lesson to test your abilities and see how questions may look on the exam.

MCAS STE Biology: Using Mathematics in Science - Objectives

The MCAS STE Biology is exam assesses high school students' level of academic understanding of biology as set by the Massachusetts Curriculum Framework standards. The MCAS STE Biology exam is scored based on five content areas including biochemistry and cell biology, genetics, anatomy and physiology, ecology, evolution and biodiversity. Because mathematical equations are essential in understanding all scientific data, questions related to using math in science could be part of any or all of these content areas.

The MCAS STE Biology exam is comprised of 40 multiple-choice questions and five open-ended responses. A scaled score of 220 or higher is required on one of the four STE exams in order to qualify for graduation.

18 Lessons in Chapter 19: MCAS STE Biology: Using Mathematics in Science
Test your knowledge with a 30-question chapter practice test
Solving Problems Using Decimal Numbers

1. Solving Problems Using Decimal Numbers

Problems involving decimal numbers might sound like a way to torture you, but learning how important these types of problems are in the real world is important. In this lesson, you will see a couple areas in life where you routinely encounter decimal number problems.

How to Estimate in Math: Definition & Concept

2. How to Estimate in Math: Definition & Concept

Learn how to use estimate values in this lesson. It can help you answer math problems that use more complicated numbers and even make it easier to split a check at the restaurant next time you are out with friends!

Percents: Definition, Application & Examples

3. Percents: Definition, Application & Examples

Maybe you know that 95% is an A and 75% is a C. But what do those percents really mean? In this lesson, we'll learn about percents, including how to convert them to fractions and decimals.

Scientific Notation: Definition and Examples

4. Scientific Notation: Definition and Examples

Scientific notation is a special way of writing numbers so they are easier to work with. This lesson will define scientific notations and show some examples of how to convert numbers from standard notation to scientific notation and back.

Ratios and Proportions: Definition and Examples

5. Ratios and Proportions: Definition and Examples

Watch this video lesson to learn how ratios and proportions are related. Also, learn how ratios and proportions are used in real life and how you can apply them to yours.

Understanding Bar Graphs and Pie Charts

6. Understanding Bar Graphs and Pie Charts

In this lesson, we will examine two of the most widely used types of graphs: bar graphs and pie charts. These two graphs can provide the reader with a comparison of the different data that is displayed.

Creating & Interpreting Histograms: Process & Examples

7. Creating & Interpreting Histograms: Process & Examples

Creating histograms can help you easily identify and interpret data. This lesson will give you several examples to better understand histograms and how to create them.

Frequency Distributions: Definition & Types

8. Frequency Distributions: Definition & Types

This lesson explores the process of creating frequency distributions and histograms to give readers of your future scientific articles a numerical or visual way to understand the data you have presented.

Plotting Points on the Coordinate Plane

9. Plotting Points on the Coordinate Plane

If you'll be working with a graph, otherwise known as the coordinate plane, it's essential to understand how it works. This includes learning the parts of a graph, identifying points and plotting points.

Linear Equations: Intercepts, Standard Form and Graphing

10. Linear Equations: Intercepts, Standard Form and Graphing

Do you know what to do if an equation doesn't look like y=mx+b?! If not, then this video is for you. Chances are the equation is in standard form, so we'll learn how to use standard form equations, how to graph them and why they can be helpful.

Slopes and Rate of Change

11. Slopes and Rate of Change

If you throw a ball straight up, there will be a point when it stops moving for an instant before coming back down. Consider this as we study the rate of change of human cannonballs in this lesson.

Slopes and Tangents on a Graph

12. Slopes and Tangents on a Graph

Hit the slopes and learn how the steepness of a line is calculated. Calculate the slopes between points and draw the tangents of curves on graphs in this lesson.

How to Calculate Simple Conditional Probabilities

13. How to Calculate Simple Conditional Probabilities

Conditional probability, just like it sounds, is a probability that happens on the condition of a previous event occurring. To calculate conditional probabilities, we must first consider the effects of the previous event on the current event.

Expressing Relationships as Algebraic Expressions

14. Expressing Relationships as Algebraic Expressions

What do you do when you don't know what a number is but you do know how it relates to something else? You use an algebraic expression. In this lesson, we'll learn how to express relationships as algebraic expressions.

Evaluating Simple Algebraic Expressions

15. Evaluating Simple Algebraic Expressions

In this lesson, we'll learn how to evaluate algebraic expressions, which involves substituting numbers for variables and following the order of operations. By the end of the lesson, you'll be an algebraic expression expert.

Mean, Median & Mode: Measures of Central Tendency

16. Mean, Median & Mode: Measures of Central Tendency

By describing the data using central tendency, a researcher and reader can understand what the typical score looks like. In this lesson, we will explore in more detail these measures of central tendency and how they relate to samples and populations.

Measures of Variability: Range, Variance & Standard Deviation

17. Measures of Variability: Range, Variance & Standard Deviation

Looking specifically at range, variance, and standard deviation, this lesson explores the relationship between these measures and samples, populations, and what it says about your data.

Correlation vs. Causation: Differences & Definition

18. Correlation vs. Causation: Differences & Definition

When conducting experiments and analyzing data, many people often confuse the concepts of correlation and causation. In this lesson, you will learn the differences between the two and how to identify one over the other.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
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Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
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