Podcast
Questions and Answers
What is a testable question?
What is a testable question?
It is a question that can be answered through hands-on investigation.
What is the difference between a 'general interest science question' and a 'testable question'?
What is the difference between a 'general interest science question' and a 'testable question'?
A testable question is about changing one thing to see how it affects another object.
What does this article tell you to use in order to make a good question?
What does this article tell you to use in order to make a good question?
Make a hypothesis about the outcome based on the research or their own knowledge.
What is the difference between an observation and an inference?
What is the difference between an observation and an inference?
What is the difference between qualitative and quantitative observations?
What is the difference between qualitative and quantitative observations?
What is wrong with the way that the hypothesis 'Chocolate may cause pimples' is written?
What is wrong with the way that the hypothesis 'Chocolate may cause pimples' is written?
How does this article suggest you write a good hypothesis?
How does this article suggest you write a good hypothesis?
How many variables must be changed in an experiment?
How many variables must be changed in an experiment?
Why do you have to have a lot of geese in the control group and the experimental group instead of only one webbed goose and one web-free goose?
Why do you have to have a lot of geese in the control group and the experimental group instead of only one webbed goose and one web-free goose?
What are four ways that you can graphically present data?
What are four ways that you can graphically present data?
What could be two reasons why the data might not support the hypothesis?
What could be two reasons why the data might not support the hypothesis?
Flashcards
Testable Question
Testable Question
A question answerable through hands-on investigation.
General Interest vs. Testable Question
General Interest vs. Testable Question
A testable question focuses on a change affecting another, while a general interest question doesn't.
Hypothesis Writing
Hypothesis Writing
A testable prediction about the outcome, often based on research or prior knowledge.
Observation vs. Inference
Observation vs. Inference
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Qualitative Observation
Qualitative Observation
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Quantitative Observation
Quantitative Observation
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Bad Hypothesis Example
Bad Hypothesis Example
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Good Hypothesis
Good Hypothesis
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Variables in Experiment
Variables in Experiment
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Control Group Size
Control Group Size
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Graphical Data Presentation
Graphical Data Presentation
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Unsupportive Data
Unsupportive Data
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Study Notes
Testable Questions
- A testable question can be answered through hands-on investigation.
- It involves manipulating one variable to observe the effect on another.
General Interest Science vs. Testable Questions
- General interest science questions are broader, while testable questions are specific and focus on causal relationships.
Creating a Good Hypothesis
- Formulating a hypothesis should be based on existing research or personal knowledge.
- A hypothesis should be clear and measurable, avoiding ambiguous language such as "may."
Observations vs. Inferences
- Observations are factual data collected through senses.
- Inferences are interpretations or conclusions drawn from observations.
Qualitative vs. Quantitative Observations
- Qualitative observations are descriptive and derived from sensory data.
- Quantitative observations involve numerical data obtained through instruments (e.g., rulers).
Writing Effective Hypotheses
- A hypothesis should be definitive, stating what is being tested and predicting an outcome.
- Effective hypotheses must be measurable to allow for experimentation.
Variables in Experiments
- Only one variable should be changed at a time in an experiment to isolate effects.
Importance of Sufficient Sample Sizes
- Utilizing multiple subjects in both control and experimental groups enhances the accuracy of results.
- Larger sample sizes provide a better basis for conclusions.
Data Presentation Methods
- Graphical data can be presented using various methods, including defining questions, forming hypotheses, gathering resources, and planning data collection.
Reasons for Unexpected Data Results
- Discrepancies between data and hypotheses could arise from an incorrect hypothesis or flawed data.
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