numerical summary of measures Flashcards

1
Q

frequency distribution from continuous data are defined by

A

types of descriptors aka parameters
-central tendency
-dispersion

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2
Q

Defined as the value used to represent the center or the middle of a set of data values.

A

central tendency

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3
Q

it locates observation on a measurement scale

A

central tendency

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4
Q

Describes the spread of values in a given data set

A

dispersion

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5
Q

Suggest how widely spread out the observations are

A

dispersion

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6
Q

the mean bar is used in

A

quantitative and dichotomous data

  • the mean provides a single no. that summarizes the data, making it easier to understand and compare datasets
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7
Q

it is the average value or the sum of all the observed values divides by the total no. of observation

A

mean

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8
Q

the middle observation data

A

median

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9
Q

the most commonly observed value

A

mode

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10
Q

how can the data be misinterpreted in mean

A

due to the extreme value, the data wiil not fall in the middle

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11
Q

how do u find mean, median and mode in excel

A

mean: =AVERAGE
median: =MEDIAN
mode: =MODE

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12
Q

measure of dispersion is aka

A

measures of spread

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13
Q

what can u infer if your measures of spread is
dispersed:
clumped:

A

dispersed: kalat kalat not near each other
clumped: near the average value

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14
Q

it is a statical measurement of the spread between numbers and measures how far each number in the set is from the average

A

variance

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15
Q

it is the average amount of variability in the dataset and how far each value lies from the mean

A

standard deviation

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16
Q

the difference between observed value and the expected value

A

mean deviation

17
Q

mean deviation is aka

A

deviation in statistics

18
Q

it is the average deviation of a data point from the mean, media or mode of the data set

A

mean deviation

19
Q

how to find range

A

subtract highest value and lowest value

*used in only small data

20
Q

how can the range be misinterpreted

A

have a high chance to have a large outlier as the larger values is taken into account

21
Q

N-1

A

degrees of freedom
*to have room for error

22
Q

standardize the spread

A

coefficient of variation

23
Q

values that spilt sorted data or a probability distribution into equal parts

24
Q

a statical term that describes a division of observation into four defined intervals based on the values oof the data and how they compare to the entire set of observations

25
Q

in descriptive statistics, the range of data set is size of the narrowest interval which contains all the data

A

range and IQR

26
Q

what measures of central tendency is considered robust to extreme values

A

median

extreme values is aka outliers.
the median ignore the extremes and even if u change the most extreme values dramatically, the median often stays the same or changes very little.

median remains stable despite an extreme value, while the mean is heavily affected