Unit 1 Flashcards

1
Q

statistics

A

science of collecting, organizing, analyzing and interpreting data to make decisions

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2
Q

data

A

information coming from observations, counts, measurements, or responses

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3
Q

quantitative

A

consists of numerical measurements and counts (quantity)

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4
Q

qualitative

A

consists of attributes, labels, and non-numeric entries (qualities someone has)

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5
Q

2 types of data sets

A

population and sample

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6
Q

population

A

consists of all outcomes, responses, measurements, or counts of interests

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7
Q

sample

A

subset of population (smaller group from the population)

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8
Q

frequency tables

A

shows the number of individuals in each “class”/category

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9
Q

frequency (f)

A

the number of data entries in each class

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10
Q

sample size (n)

A

the sum of the frequencies

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11
Q

relative frequency

A

portion/% of data that falls in each class.
Rel. frequency: frequency/sample size

 rel. freq. always has a sum of one
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12
Q

cumulative freq

A

sum of the frequency in that class and all previous classes

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13
Q

mean

A

average
(mu): population mean
fancy n: sample size for proportion
x bar: sample mean (sum of x/n)
n: sample size for sample

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14
Q

median

A

value that lies in the middle of a data set (least to greatest)

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15
Q

mode

A

the number that occurs most often
–> if there are 2 modes, it is known as bimodal

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16
Q

range

A

difference between the max and min val.

17
Q

outliers

A

the number that is far removed from the data set

18
Q

fractile

A

numbers that are partitioned or divided into equal parts of an ordered data sets (ex: median)

19
Q

quartile

A

divides the data set into 4 equal parts
Q1: first quartile (1/4th of the data)
Q2: second quartile (1/2th of the data, median)
Q3: third quartile (3/4th of the data)

20
Q

InterQuartile Range (IQR)

A

measure of variation that gives the range of the middle portion (about 1/2) of the data

IQR: Q3-Q1

21
Q

How to find outliers

A

S1) find Q1 and Q3
S2) find IQR (Q3-Q1)
S3) multiply IQR by 1 1/2 (1.5)
S4)
a) Q1-IQR(1.5): number below this are outliers
b) Q3+IQR(1.5): numbers above this are outliers

22
Q

deviation

A

difference between the entry (x) and the mean (mu, x bar)
–> the sum of the deviation is always 0

23
Q

sum of the square (SS sub x)

A

each deviation is squared. Then added up.