Statistics

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26 Terms

1

Discrete Data

Data that can be counted

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2

Continuous Data

Data that can be measured

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3

Different types of averages

Mean, Median, Mode

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4

Mean

Average of a set of numbers

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5

How to calculate Mean

Add all values together and divide by number of values

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6

Mode

Most common number in a set of values

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7

Range

Highest number minus lowest number

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8

Sigma sign

The sum of

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9

Line of best fit

A straight line that best represents the data on a scatter plot

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10

Standard Deviation

Average distance any given point is away from the mean

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11

Large Standard Deviation:

Points aren’t close to mean

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12

Small Standard Deviation:

Points are close to the mean

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13

Variability

How spread out data is

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14

When can you use SD?

Symmetrical Data

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15

Outlier

Data point that doesn’t fit the general trend of data

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16

What is any point considered if it isn’t in the first three levels of SD?

Outlier

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17

Histogram

For continuous data

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18

Bar Chart

For discrete data

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19

Quartiles

Divide data equally into four groups each worth 25%

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20

IQR (interquartile range)

Q3 - Q1

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21

Cumulative Frequency

Sum of all frequencies up to a particular value

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22

Systematic Sampling

Sampling Method where elements are selected at regular intervals from a sorted list

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23

Convenience Sampling

Non-probability sampling method where samples are selected based on easy availability and proximity to researcher

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24

Random Sampling

Type of probability sampling in which the researcher randomly selects a subset of participants from a population

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25

Quota Sampling

Non-probability sampling method that relies on the non-random selection of a predetermined number or proportion of units, exclusive groups

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26

Stratified Sampling

Type of sampling method in which the total population is divided into smaller groups or strata to complete the sampling process

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