Lesson 1.3 Flashcards

Experimental Design

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1
Q

What is an independent variable?

A

The variable that is being changed or manipulated.

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2
Q

What is a dependent variable?

A

The variable that is responding or the effect caused by independent variable.

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3
Q

What axis’s do the independent and dependent variables go on?

A

The independent variable goes on the x -axis while the dependent goes on the y-axis.

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4
Q

What is a hypothesis?

A

An educated guess about what will happen in you experiment.

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5
Q

What are the two steps to writing a hypothesis?

A

Step 1 - Come up with a specific reason that explains the phenomenon
The <phenomenon,topic> is (due to/caused by) ,specific reason>
Step 2 - Write a testable statement; actual hypothesis
If <independent> is (increased or decreased) then, <dependent> will (increase or decrease).</dependent></independent>

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6
Q

What is a control group?

A

The standard to which comparisons are made in an experiment.

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7
Q

Why do we need a control group?

A

To be able to identify and observe the changes that occurred in the experimental group/s based on the independent variable.

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8
Q

How many control groups and experimental groups can you have?

A
  • Only one control group
  • Can have one or more experimental group/s
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9
Q

Why shouldn’t you use more than one independent variable?

A

So you can interpret your results better because multiple independent variables will make it hard to observe certain changes and data.

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10
Q

What is a line graph and when should it be used?

A

Graph used to show change over time and should be used if independent variable is quantitative or related to time.

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11
Q

What is a bar graph and when should It be used?

A

Graph used to show grouped independent variables; should be used when independent variables are grouped (categorical).

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12
Q

What are error bars?

A

Gives an idea of variability within a sample and tells us the level of uncertainty in our experiment.

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13
Q

How can we analyze errors bars?

A

If error bars on a graph cross/overlap then there isn’t a significant difference or there is no difference at all. If error bars don’t overlap/cross then there is a difference between them.

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14
Q

What are confidence intervals and standard errors?

A

Confidence intervals state that no overlap means difference while standard errors show that overlap means difference.

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15
Q

What do short error bars and long error bars mean?

A

Short errors bars show that data is more reliable while long error bars show that there is more uncertainty in data.

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16
Q
A