Independent Variable
The factor that is manipulated in an experiment.
- Always on the x-axis
Dependent Variable
The factor that is measured based on how it is changed by the independent variable
- Always on the Y-Axis
Positive Control Group
A group that is not expose to the experimental treatment, or Independent Variable, but is exposed to a treatment known to produce a known result.
Used to tell if an experiment is working.
Negative Control Group
A group that is not exposed to any treatment, nothing is expected to happen.
May receive a placebo to avoid psychological effects.
Experimental group
The group given treatment.
Standard Deviation
How close the data is to the mean.
Low Standard Deviation
Data is closer to the mean and there is a greater likelihood that the independent variable is causing the changes to the dependent variable.
High Standard Deviation
Data is spread out from the mean and it is more likely that other factors are affecting the dependent variable other than just the manipulated variable.
Hypothesis
Predictions that can be tested by recording data from observations and experiments.
“If_______, then____________, because_____________________________________________.”
Null Hypothesis(H0)
An instance where the researcher tries to disprove, nullify, or reject an idea by stating that there is no difference between two groups of data, and that experimental observations are due to change.
Ex: Tylenol will have no effect on headache relief
Alternative Hypothesis
After the null, list all the other possible hypotheses.
(H1, H2, H3, etc…)
EX:
- H1: Tylenol will relive headaches
- H2: Tylenol will not relive headaches
Constants
All the factors that stay the same between all groups in an experiment.
Qualitative Data
Observations with senses
Quantitative Data
Observations measured with instruments / numbers
Mode
Value that appears the most
Median
The middle number in a range of data points.
Mean
Average
1 Standard Deviation
68% of the data
2 Standard Deviations
95% of the data (Most common)
3 Standard Deviations
99% of the data
Standard Error of the Mean
How well the mean of the sample represents the true mean of the population.
Error Bars
Bars drawn usually (+/- 2) standard errors.
Low Standard Error
Increase in confidence