Stats Test 1

Front 1

Stem and leaf display
Steps
1.
2.
3. no more

Back 1

1. determine units
2. how many lines
(10 leaf values 1,2,5,10)
(100 leaf values 1,2,4,5,10)
3. no more than 20 lines

3.

Front 2

Histograms
Steps
1.
2.
3.
4. always ..
5. remember no class
6. relative histogram is ?

Back 2

1. range length (max-min)
2. # of classes 5-20
3. class width
(range length\ classes)
4. always round up
5. remember no class except for last class may end with last value
6. frequency/ En (add all f)

Front 3

Measure of Center
1. 2. 3.
4. median rank formula
5. m < x(mean) ?

Back 3

1. mean
2. median
3. mode
4. n+1 /2
5. right scewed

Front 4

if no doubles for mode means?

Back 4

all numbers are mode
1,2,3,4,..

Front 5

Measures of Spread
Definition standard deviation formula

Back 5

s= (sqare root) E(xi-mean)^2
/ n-1

Front 6

E(xi-mean)^2 1.<means?
/ n-1
which standard deviation?

Back 6

add up the xi-mean^2 then divide by n-1
definition

Front 7

Short cut formula?

Back 7

s= (sqare root)
Exi^2 - n(mean)^2
/ n-1

Front 8

Chebychevs theorm
1. applies to?
2. K=1 formula %?
3. K=2 formula %?
4. K=3 formula %?

Back 8

1. all datasets
2. mean -/+ s at least 0%
3. mean -/+ s2 at least 75%
4. mean -/+ s3 at least 88.9%

Front 9

how do u get actual percentage

Back 9

values / n (100)
count how many values btwn the set ( 1, 5) then divide by n times by 100

Front 10

Emperical rule
1. can only use if?
2. K=1 %
3. K= 2 %
4. K= 3 %

Back 10

1. data set is mound/bell shape
2. K=1 68%
3. K=2 95%
4. K= 3 99.7%

Front 11

if you have no dataset just
mean and s to use chebychevs theorem or emperical rule (if mound shape)
1. formula

Back 11

1. K= range/ s

Front 12

Z score
1. z score formula
2. what 2 things will you need to say and how

Back 12

1. z= X. - mean / s
number given - mean / divide by s
2. interpretation= value of X lies X standard deviations to the X (right/ left) of the mean
comment= this zscore is in/not in, the expected range of (-2,2)

Front 13

Quartiles
1. formula for Q1 (rank&actual)
2. formula for Q3
3. median formula
4. IQR formula

Back 13

1. Q1= .25(n+1) rank
Q1= small value + .??(big value - small value)
2. Q3= .75(n+1) rank
Q3= small vlue + .??(big-small value)
3. m rank= n+1/ 2

Front 14

Box plot
1. step 1
2.
3. fences
LIF FORMULA
RIF FORMULA
LOF FORMULA
ROF FORMULA
4.
5.

Back 14

1. get hinges (Q1&Q3)
2. get IQR
3. LIF= LH-1.5(IQR)
RIF= RH+1.5(IQR)
LOF= LF-3(IQR)
ROF= RF+3(IQR)
4. adjacent values
5. outliers