Chapter 3 Flashcards

1
Q

descriptive statistics

A

methods that summarize the characteristics of data

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2
Q

inferential statistics

A

use sample statistics to make generalizations about a population

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3
Q

rounding rule

A

round to one extra decimal place that is present in the original data set

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4
Q

measure of center

A

represents the center/middle of the data

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5
Q

mean

A

add all data values and divide by amount of data values

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6
Q

A

mean found using sample data

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7
Q

μ

A

mean found using population data

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8
Q

median

A

middle value of the data set

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9
Q

x~

A

median symbol

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10
Q

mode

A

data value with the highest frequency

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11
Q

midrange

A

(max value + min value) / 2

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12
Q

range

A

max value - min value

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13
Q

standard deviation

A

determines how much the data values deviate from the mean of the data set (x-x̅ )

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14
Q

variance

A

standard deviation^2

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15
Q

s

A

standard deviance found using sample data

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16
Q

σ

A

standard deviance found using population data

17
Q

range rule of thumb

A

based on the idea that roughly 95% of the data lies within 2 standard deviations of the mean

18
Q

minimum usual value

A

[(mean)-2]x[standard deviance]

19
Q

maximum usual value

A

[(mean)+2]x[standard deviance]

20
Q

z-score

A

number of standard deviations a data value is from the mean of the data set

21
Q

z-score formula (sample notation)

A

(x-x̅)/s

22
Q

z-score formula (population notation)

A

(x-μ)/σ

23
Q

rounding rule for z-score

A

round to 2 decimal places

24
Q

quartiles

A

divides the data set into 4 groups

25
Q

5-number summary

A

min data value, Q1, median, Q3, max data value

26
Q

skeletal boxplot

A

graph used to compare the 5 number summary of 2 different data sets together

27
Q

modified boxplot

A

graph used to determine outliers