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17 Cards in this Set

  • Front
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Mean

Quantity that has a value in between other values; an average. Way to represent the center of the data

Error Bars

Bars placed on graphs to show how much the data varies. Can represent standard deviation or the range of data.

Standard Deviation

A measure of how the spread out data points in a set are from the mean of the set.

Relative Standard Deviation

Measures how large the standard deviation is compared to the mean of the data set. Expressed as a percentage.

Causation

The idea that one thing causes something else

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)

Range

The measure of the spread of a data set. It is the difference between the largest and smallest values.

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.

Probability

How likely something is to happen or be true

Null Hypothesis

The hypothesis that there is no difference between two sets of data.

Variability

The description of how much the data points will be different from each other.

Median

The middle number in a sequence of numbers. This is a measure of center.

Mode

In a set of numbers the number that is most common within the set. This is a measure of center.

Frequency

How common a data point occurs.

Percent Error/Change

The percent that the experimental value differs from a known value (real value)

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

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.