About This Chapter
Who's it for?
Anyone who needs help learning or mastering MCAT material will benefit from taking this course. There is no faster or easier way to prepare for the MCAT. Among those who would benefit are:
- Students who have fallen behind in understanding how to design experiments or analyze scientific data presented in tables, graphs and charts
- Students who struggle with learning disabilities or learning differences, including autism and ADHD
- Students who prefer multiple ways of learning science (visual or auditory)
- Students who have missed class time and need to catch up
- Students who need an efficient way to learn about analyzing scientific data for the MCAT
- Students who struggle to understand their teachers
- Students who attend schools without extra science learning resources
How it works:
- Find videos in our course that cover what you need to learn or review.
- Press play and watch the video lesson.
- Refer to the video transcripts to reinforce your learning.
- Test your understanding of each lesson with short quizzes.
- Verify you're ready by completing the Analyzing Scientific Data for the MCAT chapter exam.
Why it works:
- Study Efficiently: Skip what you know, review what you don't.
- Retain What You Learn: Engaging animations and real-life examples make topics easy to grasp.
- Be Ready on Test Day: Use the Analyzing Scientific Data for the MCAT chapter exam to be prepared.
- Get Extra Support: Ask our subject-matter experts any question about scientific data analysis. They're here to help!
- Study With Flexibility: Watch videos on any web-ready device.
Students will review:
This chapter helps students review the concepts in a scientific data analysis unit of a standard science course. Topics covered include:
- Designing scientific experiments
- Interpreting tables of scientific data
- Understanding charts and graphs of scientific data
1. Understanding Laboratory Measurements: Units & Types
There are many different units that can be used for measurements. This may not only lead to incorrect data measurements, but also to confusion about which units are most appropriate. Therefore, a standard set of units is used for each type of measurement in the biology lab.
2. What Is a Meniscus? - Definition, Uses & Lab Examples
Liquids can be tricky to measure because surface tension causes them to do interesting things like forming a meniscus. In this video lesson you'll learn what a meniscus is, why it forms, and how to correctly read the volume of a liquid using the meniscus at the surface.
3. Unit Conversion and Dimensional Analysis
Dimensional analysis is used in converting different units of measure through the multiplication of a given proportion or conversion factor. Learn how to solve single-step and multi-step problems using dimensional analysis and understand the cancellation of units in a numerator and denominator.
4. Significant Figures and Scientific Notation
A significant figure is a number that is necessary to express precise measurements. All non-zero numbers, zeros located between two non-zero numbers, and trailing zeros in numbers with a decimal point are significant figures. Learn about significant figures and how to express calculations in scientific notation.
5. Understanding Textual & Non-Textual Scientific Presentations
In order to understand science, you have to know science. This knowledge includes understanding the various ways that scientific information may be presented as well as how to critically analyze that information.
6. How to Read Scientific Graphs & Charts
Scientists often rely on graphs and charts to organize information, as well as compare it to other scientific findings and share the information with others. Learn about the more commonly used scientific graphs and charts, including line graphs, as well as bar, pie, and flow charts. Understand the variables used to create these graphs and charts and recognize the x and y axes.
7. Interpreting Graphs and Charts of Scientific Data: Practice Problems
To interpret charts and graphs of scientific data, you should know the correct orientation of x- and y-axes, understand the trends of the chart, and answer the chart questions on your own. Learn more about the three rules of solving problems that include charts and graphs, and explore relevant practice problems.
8. Interpreting Tables of Scientific Data: Practice Problems
To interpret tables that contain scientific data, the contents of the table shall be scanned and verified before trying to answer the question on your own. Explore in-depth discussion and practice problems on solving scientific table problems.
9. 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.
10. Calculating the Standard Deviation
Standard deviation helps determine if a set of data is normally distributed by measuring how closely the data set surrounds the mean, or average. Learn about standard deviation, including the steps to calculate it. Explore variance, review examples of calculations, and understand what standard deviation means in regard to a data set.
11. Scientific Data Analysis
Science involves collecting data. But what do you do once is collected? Learn about how to analyze data, including the difference between accuracy and precision.
12. Statistical Analysis: Using Data to Find Trends and Examine Relationships
Statistical analysis helps answer complex questions using collected data. Learn the role of descriptive, inferential, and predictive statistics in discovering trends and relationships using specialized software.
13. The Relationship Between Variables: Correlation Coefficient & Scatterplots
The focus of this lesson is on how both correlation coefficients and scatterplots convey the same message. Specifically, this lesson will explore how these two can reveal the same information but in different ways.
14. Make Estimates and Predictions from Categorical Data
Categorical data can be estimated but not predicted. Learn why in this video lesson along with how to read and gather information from a bar graph of categorical data.
15. Making Estimates and Predictions using Quantitative Data
Watch this video lesson to learn how you can read a scatter plot to learn more about a particular situation. Also learn how you can make estimates within the range of data you have and predict what may happen outside the range of data.
16. Drawing Conclusions Based on Internal Validity
When a researcher gets the results of their study back, how do they know that the independent variable caused the results? In this lesson, we'll look at how internal validity shapes the way researchers draw conclusions about their research.
17. Design a Scientific Experiment: Example of Avery and Griffith's Experiments
The Avery and Griffith experiments are popular models in microbiology that followed a set of rules for designing scientific experiments. Learn about the rules and factors to consider when designing a scientific experiment, and how Avery and Griffith's experiments followed these criteria for experimental design.
18. Subjective Data in Nursing: Definition and Examples
By the end of this lesson, you will know the definition of subjective data in nursing, the difference between subjective and objective data, and how to gather detailed information in subjective data.
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