unit 1 ap stats vocab

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Categorical/Qualitative Variable

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26 Terms

1

Categorical/Qualitative Variable

Values that are category names or group labels. (examples: color, mood, type of music)

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2

Quantitative Variable

Numerical values of a certain quantity. (examples: height, weight, population of a city)

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3

Frequency Table

Gives the number of cases falling into each category.

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4

Relative Frequency Table

Gives the proportion/percentage of cases falling into each category.

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5

Center

Separates the values roughly in half, it’s in the middle of graphs.

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6

Spread

The range of values from smallest to largest.

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7

Clusters

Natural subgroups that values fall into in a graph.

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8

Gaps

Holes where no values fall in a graph.

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9

Unimodal

A distribution with one peak.

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10

Bimodal

A distribution with two peaks.

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11

Symmetric distribution

Where the two halves of a graph are mirroring each other.

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12

Skewed to the right

The graph gets lower on the right side.

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13

Skewed to the left

The graph gets lower on the left side.

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14

Bell-shaped distribution

The graph dips on two sides and has a large mound in the middle. Looks like an upside-down “U” and shows that the graph has a normal distribution.

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15

Uniform

The values are mostly equal/the graph is in a straight line.

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16

Sample

A part of a population.

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17

Median

The middle number in a set of numbers in numerical order. It’s also equal to the mean of a normal distribution.

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18

Mean

The average of a set of numbers, found by adding all values and dividing by the amount of numbers in the set.

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19

µ

The mean of an entire population.

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20

The mean of a sample.

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21

Range

The difference between the largest and the smallest value.

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22

Interquartile Range (IQR)

The difference between the largest and smallest values after removing the lower and upper quartiles.

IQR = Q3 – Q1 / 75th percentile minus 25th percentile.

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23

Standard Deviation

The typical distance that each value is from the mean.

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24

Variance

The average of the squared differences from the mean.

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25

Discrete quantitive variable

Takes on a countable number of values. There’s gaps between each of the values. (example: the number of times that a runner finished first in a race)

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26

Continuous Quantitive Variable

Infinite values with no gaps (example: heights between a group of 10 people)

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