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17 Cards in this Set
- Front
- Back
Mean |
Quantity that has a value in between other values; an average. Way to represent the center of the data |
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Error Bars |
Bars placed on graphs to show how much the data varies. Can represent standard deviation or the range of data. |
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Standard Deviation |
A measure of how the spread out data points in a set are from the mean of the set. |
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Relative Standard Deviation |
Measures how large the standard deviation is compared to the mean of the data set. Expressed as a percentage. |
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Causation |
The idea that one thing causes something else |
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Correlation |
The idea that two things vary in a patterned way. As one increases the other increases, as one decreases the other decreases. (Positive vs negative) |
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Range |
The measure of the spread of a data set. It is the difference between the largest and smallest values. |
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Normal Distribution |
When a large sample is taken, the most common data points are values that fall within the center of the values collected. When a frequency graph is made the graph has a bell-shaped. |
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Probability |
How likely something is to happen or be true |
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Null Hypothesis |
The hypothesis that there is no difference between two sets of data. |
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Variability |
The description of how much the data points will be different from each other. |
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Median |
The middle number in a sequence of numbers. This is a measure of center. |
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Mode |
In a set of numbers the number that is most common within the set. This is a measure of center. |
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Frequency |
How common a data point occurs. |
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Percent Error/Change |
The percent that the experimental value differs from a known value (real value) |
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Outlier |
A data point that is very different from the other data points in a set. There are statistical tests that can be done to determine if a data point is an outlier |
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Significance |
In this chapter it doesn't mean that it is important but that there has been statistical tests to show that something is very likely to be true. |