Midterm 1 Flashcards

1
Q

median formula

A

.5(n+1) —> position

p + .5((p+1)-p)

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2
Q

modes

A

there can be more than 1

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3
Q

IQR resistant or sensitive ?

A

resistant to outliers, always

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4
Q

in stem and leaf plot do you list reoccurring numbers

A

yes

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5
Q

shape of distribution

A

shape
center
spread/outlier (observations close together –> small)

do outliers affect the shape ?

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6
Q

standard deviation

A

s

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7
Q

variance

A

s^2

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8
Q

mean

A

x bar

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9
Q

independent variable

A

x

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10
Q

if b is negative, what does that mean for the slope ?

A

negative

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11
Q

relationship between bivariate data

A

strength (r)
direction (b and r)
form (r^2h — grades)

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12
Q

Q1

A

.25(n+1) –> position

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13
Q

Q3

A

.75(n+1) —> position

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14
Q

finding quartile from position

A

p+(.5)((p+1)-p)

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15
Q

Determine outliers

A

Upper and Lower Fence

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16
Q

upper and lower fence

A

Q1/3+-1.5IQR

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17
Q

parameter owner needs

A

sample gained

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18
Q

statistic

A

parameter for desired # of sample

19
Q

quantitative

A

math operation can be applied

20
Q

qualitative

A

classified according to a category

21
Q

discrete

A

finite

22
Q

continuous

A

infinite

23
Q

interval

A

quantitative

24
Q

nominal

A

qualitative (numerically meaningless)

25
Q

ordinal

A

qualitative (calculations have meaning)

26
Q

draw a pie chart without percentages

A

divide by the total

27
Q

class width

A

range/# of classes

28
Q

left inclusion

A

include # on left, lower boundary

29
Q

describe histogram

A

shape
center
spread
outliers

30
Q

median

A

list position

31
Q

3 stats that measure central location

A

mean
median
mode

32
Q

mean

A

average

33
Q

median

A

middle

half is this and half is that

34
Q

mode

A

what’s repeated

35
Q

variance

A

can’t be negative bc it’s a square of numbers

36
Q

emperical rule

A

68-95-99.7

37
Q

chebyshev

A

x bar + ks

at least # of the obsefcatiks fall into this number set

38
Q

(1-1/k^2)100

A

obvs will fall into x bar + ks

39
Q

1/k^2

A

will not fall into x bar+ ks

40
Q

covariance

A

Sxy/n-1

tells you direction based of negative or positive

41
Q

correlation coefficient

A
r
>0 positive
<0 negative
r >= .8 strong 
.6
42
Q

coefficient of determination

A

r^2

“grades”

43
Q

a

A

when x equal 0 this still happens “a” times