1. What is scientific inquiry?

2. What makes a hypothesis testable?
3. Why is it important to control variables in an experiment?
4. When you begin an experiment, why should you create a table to
record your data?
5. How does a scientific law differ from a theory?
Building Vocabulary
Fill in the blank to complete each statement.
6. Facts, figures, and other evidence gathered through qualitative and
quantitative observations are called
7. A(n) is a possible answer to a scientific
question.
8. In an experiment, the variable is the factor
that may change in response to the manipulated variable.
9. A scientific is a statement that describes what
scientists expect to happen every time under a particular set of
conditions.
10. When only one variable is manipulated at a time, a(n)
experiment is conducted.
11. The scientific process includes the diverse ways
in which scientists study the natural world.
12. A factor that can change in an experiment is called a(n)
13. The variable is the only variable that is
purposely changed to test a hypothesis.

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What is a factor that can change in a experiment called?

1. Scientific inquiry is the process by which scientists explore and investigate the natural world. It involves asking questions, making observations, conducting experiments, collecting data, analyzing results, and drawing conclusions. To engage in scientific inquiry, scientists use a systematic and logical approach to understand and explain natural phenomena.

To understand scientific inquiry better, one can start by following these steps:
- Ask a question: Identify a phenomenon or problem that you want to investigate.
- Formulate a hypothesis: Make an educated guess or propose a possible explanation for the question.
- Design an experiment: Plan and set up a controlled experiment to test the hypothesis.
- Collect data: Carry out the experiment, make observations, and record results.
- Analyze data: Use statistical methods and tools to analyze the collected data and look for patterns or trends.
- Draw conclusions: Based on the analysis of the data, evaluate the hypothesis and determine if it is supported or refuted.
- Communicate results: Share the findings through scientific journals, conferences, or other means to contribute to the scientific community's knowledge.

2. A hypothesis is considered testable if it can be evaluated and potentially supported or refuted through empirical evidence or experimentation. A testable hypothesis is one that can be translated into an experiment or an observation that can provide data to support or reject it.

To make a hypothesis testable, it should be framed in a way that allows for the collection of relevant data and the comparison of outcomes. It should be specific, clear, measurable, and have a cause-and-effect relationship. Additionally, a testable hypothesis should be falsifiable, which means that it is possible to prove it false through experimentation or observation.

3. Controlling variables in an experiment is essential to ensure that any observed effects or changes can be attributed to the manipulated variable, rather than other uncontrolled factors. By controlling variables, scientists can isolate the specific effects of the manipulated variable and measure its impact on the experiment's outcome.

There are two types of variables in an experiment:
- Independent variable: This is the variable that scientists deliberately change or manipulate in the experiment. It is the variable being investigated to see its effects on the dependent variable.
- Dependent variable: This is the variable that is being measured or observed in response to the changes in the independent variable. It is the outcome or result that the scientists want to understand or explain.

By controlling other variables, known as control variables, scientists can minimize their influence on the experiment's outcome. Control variables are those that are kept constant or unchanged throughout the experiment, ensuring that any observed changes can be attributed to the independent variable.

4. Creating a table to record data in an experiment is important for several reasons. It allows for organized data collection, clear presentation of results, and easy analysis of data.

When conducting an experiment, it is crucial to systematically record data to maintain accuracy and to have a reliable reference for future analysis. A table provides a structured format to record and organize data, such as measurements, observations, or experimental outcomes. By recording data in a table, scientists can easily identify patterns, trends, or relationships between variables, making it easier to draw conclusions from the experiment.

Additionally, tables can facilitate the presentation of results in a clear and concise manner, making it easier for others to understand and evaluate the experiment's findings. Tables can also be used for comparison, allowing scientists to compare different sets of data or results from multiple experiments.

5. A scientific law and a scientific theory differ in their scope and level of understanding.

A scientific law is a description of a natural phenomenon or pattern that has been observed repeatedly and is supported by extensive empirical evidence. It summarizes observations and experiments and describes how a particular process or phenomenon behaves in a given set of conditions. Scientific laws are often expressed as mathematical equations or principles. Examples of scientific laws include Newton's laws of motion or the law of conservation of energy. Unlike theories, which explain why or how something happens, laws describe what happens.

On the other hand, a scientific theory is a well-substantiated explanation or framework that combines and integrates multiple observations, experiments, and hypotheses to explain a broader range of phenomena. Theories are based on extensive evidence and undergo rigorous testing and revision. They offer an in-depth understanding of the underlying mechanisms, causes, and relationships behind observable facts. Scientific theories are considered to be the highest level of scientific understanding and can be modified or revised as new evidence emerges. Examples of scientific theories include the theory of evolution or the theory of relativity.

Building Vocabulary:
6. Facts, figures, and other evidence gathered through qualitative and quantitative observations are called data.
7. A hypothesis is a possible answer to a scientific question.
8. In an experiment, the dependent variable is the factor that may change in response to the manipulated variable.
9. A scientific law is a statement that describes what scientists expect to happen every time under a particular set of conditions.
10. When only one variable is manipulated at a time, a controlled experiment is conducted.
11. The scientific process includes the diverse ways in which scientists study the natural world.
12. A factor that can change in an experiment is called a variable.
13. The independent variable is the only variable that is purposely changed to test a hypothesis.

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8. dependent variable

13. Independent/manipulated variable.