final exam

Question 1

Interquartile range formula

Answer 1

Q3-Q1

Question 2

outliers equations

Answer 2

Q1-1.5(IQR)=lower bound
Q3+1.5(IQR)=higher bound

Question 3

When are dot plots best?

Answer 3

For small sets of data with values that are close together

Question 4

Measure of center and variation for data with no outliers

Answer 4

Mean and standard deviation

Question 5

z-score formula

Answer 5

x-x bar/s

Question 6

how to find frequency distribution

Answer 6

Highest value-lowest value/class number

Question 7

how to find percentiles

Answer 7

number/100 x number of data values

Question 8

how to find percentile corresponding to a number

Answer 8

number of values below number+0.5/number of data values x 100

Question 9

how to determine a probability distribution

Answer 9

sum of values=1, values are all between 0 and 1

Question 10

p(x=a)

Answer 10

binompdf(n,p,a)

Question 11

p(x< or equal to a)

Answer 11

binomcdf(n,p,a)

Question 12

p(x<a)

Answer 12

binomcdf(n,p,a-1)

Question 13

p(x>a)

Answer 13

1-binomcdf(n,p,a)

Question 14

p(x> or equal to a)

Answer 14

1-binomcdf(n,p,a-1)

Question 15

mean for binomials

Answer 15

n x p

Question 16

standard deviation for binomials

Answer 16

square root of n x p x q

Question 17

uniform distribtion

Answer 17

x-axis: a and b, y-axis: 1/b-a

Question 18

p(x<c>c) or p(c<x<d)</c>

Answer 18

number in between x times 1/b-a

Question 19

p(a<x<b) in-between

Answer 19

normalcdf(a,b, mean, standard deviation)

Question 20

p(x<b>b) small tail</b>

Answer 20

0.5-normalcdf(a,b, mean, sd)

Question 21

p(x<b>b) big tail</b>

Answer 21

0.5+normalcdf(a,b,mean,sd)

Question 22

area of normal distribution

Answer 22

x=invnorm(alpha, mean, standard deviation)

Question 23

two small tails

Answer 23

1-normalcdf(a,b,mean,sd)

Question 24

distribution for z scores

Answer 24

mean=0, standard deviation=1

Question 25

Empirical rule

Answer 25

percentage of values that lie within an interval estimate in a normal distribution: 68%, 95%, and 99.7% of the values lie within one, two, and three standard deviations of the mean, respectively

Question 26

Chebyshev's theorem

Answer 26

if the mean (μ) and standard deviation (σ) of a data set are known, then at least 75% of the data points should lie within two standard deviations of the mean (μ ± 2σ)

Question 27

Sample size is larger or smaller if you increase the confidence level or decrease the margin of error

Answer 27

Larger

Question 28

Level of confidence increases as...

Answer 28

the size of the interval increases

Question 29

Relative frequency

Answer 29

sum of all values=1

Question 30

Cumulative frequency

Answer 30

how much has accumulated up to that class

Question 31

Cumulative relative frequency

Answer 31

Cf/total