Fatskills
Practice. Master. Repeat.
Study Guide: GED Science Scientific Practices Experimental Design Variables Independent Dependent Control
Source: https://www.fatskills.com/general-equivalency-diploma-ged/chapter/ged-science-scientific-practices-experimental-design-variables-independent-dependent-control

GED Science Scientific Practices Experimental Design Variables Independent Dependent Control

By Fatskills Exam Guides Team — the exam nerds behind 28,500+ quizzes and 2.1M practice questions across 500+ global exams.

⏱️ ~9 min read

What Is This?

Experimental Design is the systematic process of planning and conducting experiments to answer scientific questions. It involves identifying and controlling variables to isolate cause-and-effect relationships.

This topic appears in exams to test your ability to design and analyze experiments, which is crucial in various fields, including biology, chemistry, physics, and psychology. Exams often include questions that require you to identify variables, design experiments, and analyze data.

Why It Matters

This topic is tested in exams like the AP Biology, AP Chemistry, and SAT Subject Tests in Science. It typically carries 10-20% of the total marks and requires you to demonstrate your understanding of experimental design principles, including the identification of independent and dependent variables.

The examiner is testing your ability to think critically and apply scientific principles to real-world problems. You need to be able to design experiments, identify variables, and analyze data to answer scientific questions.

Core Concepts

To master this topic, you need to understand the following core concepts:


  • Independent Variable: The variable that is intentionally changed or manipulated by the experimenter to observe its effect on the outcome.
  • Dependent Variable: The variable that is measured or observed in response to the independent variable.
  • Control Group: A group in the experiment that does not receive the treatment or intervention, serving as a baseline for comparison.
  • Experimental Group: A group in the experiment that receives the treatment or intervention.

You need to be able to distinguish between these concepts and understand how they relate to each other.

Prerequisites

Before tackling this topic, you need to understand the following prerequisites:


  • Scientific Method: The process of formulating a hypothesis, testing it through experimentation, and drawing conclusions based on the data.
  • Variables: Quantifiable characteristics that can be measured or observed.
  • Experimental Design: The systematic process of planning and conducting experiments.

If you are missing these prerequisites, you may struggle to understand the concepts of independent and dependent variables.

The Rule-Book (How It Works)

The primary rule of experimental design is to control for variables to isolate cause-and-effect relationships. This involves:


  • Identifying independent and dependent variables: Clearly defining the variables that will be manipulated and measured.
  • Controlling for extraneous variables: Minimizing the impact of external factors that could affect the outcome.
  • Using a control group: Comparing the experimental group to a group that does not receive the treatment.

Sub-rules include:


  • Randomization: Randomly assigning participants or samples to experimental and control groups.
  • Blinding: Preventing participants or experimenters from knowing which group they are in.
  • Replication: Repeating the experiment to confirm the results.

A simple visual pattern to remember is the "ICD" acronym:


  • I - Identify independent and dependent variables
  • C - Control for extraneous variables
  • D - Use a control group

Exam / Job / Audit Weighting

  • Frequency: 20-30% of exam questions
  • Difficulty Rating: Intermediate
  • Question Type or Real-World Task Type: Multiple-choice questions, short-answer questions, and essay questions

Difficulty Level

Intermediate

Must-Know Rules, Formulas, Standards, or Principles

The following are the most important rules and principles for experimental design:


  • The Law of Cause and Effect: Every effect has a cause.
  • The Law of Specificity: Every cause has a specific effect.
  • The Law of Parsimony: The simplest explanation is usually the best one.

Worked Examples (Step-by-Step)


Example 1: Easy

A researcher wants to investigate the effect of exercise on heart rate. They design an experiment where participants are randomly assigned to either an exercise group or a control group. The dependent variable is heart rate, and the independent variable is exercise.


  • Question: What is the purpose of the control group in this experiment?
  • Answer: To serve as a baseline for comparison.
  • Key rule applied: Control for extraneous variables.

Example 2: Medium

A scientist wants to investigate the effect of a new fertilizer on plant growth. They design an experiment where plants are randomly assigned to either a treatment group or a control group. The dependent variable is plant growth, and the independent variable is fertilizer.


  • Question: What is the purpose of randomization in this experiment?
  • Answer: To minimize the impact of external factors.
  • Key rule applied: Randomization.

Example 3: Hard

A researcher wants to investigate the effect of a new medication on blood pressure. They design an experiment where participants are randomly assigned to either an experimental group or a control group. The dependent variable is blood pressure, and the independent variable is medication.


  • Question: What is the purpose of blinding in this experiment?
  • Answer: To prevent participants or experimenters from knowing which group they are in.
  • Key rule applied: Blinding.

Common Exam Traps & Mistakes

The following are common errors that cost marks in exams:


  • Failing to identify independent and dependent variables: This can lead to confusion and incorrect analysis of data.
  • Failing to control for extraneous variables: This can lead to incorrect conclusions and a lack of reliability in the results.
  • Failing to use a control group: This can lead to a lack of comparison and a lack of reliability in the results.
  • Failing to randomize participants or samples: This can lead to bias and a lack of reliability in the results.
  • Failing to blind participants or experimenters: This can lead to bias and a lack of reliability in the results.

Shortcut Strategies & Exam Hacks

The following are practical techniques to solve questions faster or more accurately under time pressure:


  • Use the "ICD" acronym: To remember the key steps in experimental design.
  • Eliminate impossible answers: To reduce the number of options and increase the chances of choosing the correct answer.
  • Use pattern recognition: To identify common experimental design patterns and apply them to new questions.
  • Use formula shortcuts: To quickly calculate statistical measures and apply them to experimental design questions.

Question-Type Taxonomy

The following are the distinct question formats this topic appears in across different exams:


Format Description Example
Multiple-choice Choose the correct answer from a list of options What is the purpose of randomization in an experiment? A) To minimize the impact of external factors B) To maximize the impact of external factors C) To eliminate bias D) To increase the sample size
Short-answer Answer a question in a few sentences Describe the purpose of a control group in an experiment.
Essay Answer a question in a few paragraphs Discuss the importance of controlling for extraneous variables in an experiment.

Practice Set (MCQs)

The following are 5 multiple-choice questions at mixed difficulty levels:

Question 1: Easy

What is the purpose of a control group in an experiment?

A) To serve as a baseline for comparison B) To maximize the impact of external factors C) To eliminate bias D) To increase the sample size

Correct Answer: A) To serve as a baseline for comparison Explanation: The control group serves as a baseline for comparison to the experimental group.
Why the Distractors Are Tempting: B) Maximizing external factors is not a purpose of a control group, C) Eliminating bias is a goal of experimental design, but not a purpose of a control group, and D) Increasing the sample size is not a purpose of a control group.

Question 2: Medium

What is the purpose of randomization in an experiment?

A) To minimize the impact of external factors B) To maximize the impact of external factors C) To eliminate bias D) To increase the sample size

Correct Answer: A) To minimize the impact of external factors Explanation: Randomization helps to minimize the impact of external factors by distributing them evenly across the experimental and control groups.
Why the Distractors Are Tempting: B) Maximizing external factors is not a purpose of randomization, C) Eliminating bias is a goal of experimental design, but not a purpose of randomization, and D) Increasing the sample size is not a purpose of randomization.

Question 3: Hard

What is the purpose of blinding in an experiment?

A) To prevent participants or experimenters from knowing which group they are in B) To maximize the impact of external factors C) To eliminate bias D) To increase the sample size

Correct Answer: A) To prevent participants or experimenters from knowing which group they are in Explanation: Blinding helps to prevent participants or experimenters from knowing which group they are in, which can reduce bias and increase the reliability of the results.
Why the Distractors Are Tempting: B) Maximizing external factors is not a purpose of blinding, C) Eliminating bias is a goal of experimental design, but not a purpose of blinding, and D) Increasing the sample size is not a purpose of blinding.

Question 4: Easy

What is the purpose of a dependent variable in an experiment?

A) To measure the effect of the independent variable B) To minimize the impact of external factors C) To eliminate bias D) To increase the sample size

Correct Answer: A) To measure the effect of the independent variable Explanation: The dependent variable measures the effect of the independent variable.
Why the Distractors Are Tempting: B) Minimizing external factors is a goal of experimental design, but not a purpose of a dependent variable, C) Eliminating bias is a goal of experimental design, but not a purpose of a dependent variable, and D) Increasing the sample size is not a purpose of a dependent variable.

Question 5: Medium

What is the purpose of an independent variable in an experiment?

A) To measure the effect of the dependent variable B) To minimize the impact of external factors C) To eliminate bias D) To manipulate the dependent variable

Correct Answer: D) To manipulate the dependent variable Explanation: The independent variable is manipulated to observe its effect on the dependent variable.
Why the Distractors Are Tempting: A) Measuring the effect of the dependent variable is a purpose of the dependent variable, not the independent variable, B) Minimizing external factors is a goal of experimental design, but not a purpose of an independent variable, and C) Eliminating bias is a goal of experimental design, but not a purpose of an independent variable.

30-Second Cheat Sheet

The following are the 5-7 things you need to remember walking into the exam hall:


  • Control for variables: To isolate cause-and-effect relationships.
  • Identify independent and dependent variables: To understand the relationship between the variables.
  • Use a control group: To serve as a baseline for comparison.
  • Randomize participants or samples: To minimize the impact of external factors.
  • Blind participants or experimenters: To prevent bias.
  • Replicate the experiment: To confirm the results.

Learning Path

The following is a suggested study sequence to master this topic from scratch to exam-ready:


  1. Beginner foundation: Understand the basics of scientific method and experimental design.
  2. Core rules: Learn the key concepts of independent and dependent variables, control groups, and randomization.
  3. Practice: Practice designing experiments and analyzing data.
  4. Timed drills: Practice answering questions under time pressure.
  5. Mock tests: Practice taking full-length exams.

Related Topics

The following are 3 closely connected topics that appear alongside this one in exams:


  • Scientific Method: The process of formulating a hypothesis, testing it through experimentation, and drawing conclusions based on the data.
  • Data Analysis: The process of collecting, organizing, and interpreting data to draw conclusions.
  • Research Design: The process of planning and conducting research to answer research questions.

Note: These topics are closely related to experimental design and often appear together in exams.




ADVERTISEMENT