UNIT 1

Question 1

frequency

Answer 1

count/ how many

Question 2

relative frequency

Answer 2

percent

Question 3

marginal relative frequency

Answer 3

the percent count of occurrences in a single row in a data table compared to total

Question 4

Joint relative frequency

Answer 4

the percent count of 2 categories together compared to total

Question 5

Conditional relative frequency

Answer 5

the percent count of 1 category compared to a smaller category (not the total)

Question 6

We have lots of ice cream flavors. what is the percent of chocolate compared to all the other flavors called

Answer 6

marginal relative frequency

Question 7

We have lots of ice cream flavors. what is the percent of chocolate and strawberry compared to all the other flavors

Answer 7

joint relative frequency

Question 8

some people like cones and some people like cups. What is the percent of people who like chocolate ice cream given they like cones

Answer 8

conditional relative frequency

Question 9

what is it called when a variable explains or predicts another variable

Answer 9

explanatory variable and response variable

Question 10

Quantitative Data

Answer 10

can measure
no ranges!

Question 11

Categorical Data

Answer 11

values that are category names or groups
displayed using bar graphs
yes ranges

Question 12

when you make a stem plot what should you not forget

Answer 12

TITILE and KEY
ex= 2/1 = 21

Question 13

when you make a graph

Answer 13

DONT FORGET THE TITLE

Question 14

How do you describe distributions

Answer 14

SOCS (shape, outliers, center, spread)

Question 15

IQR formula

Answer 15

Q3-Q1

Question 16

Outliers formula

Answer 16

1.5 IQR rule
low= x<Q1-1.5(IQR)
high= x>Q3+1.5IQR

SD method
low= x<mean-2sD .
high= x>mean+2sD

Question 17

SOCS

Answer 17

1) shape
2) outliers
3) center (median or mean)
4) variability (range or sD or IQR)

Question 18

Standard deviation process

Answer 18

1) do (x-mean)
2) (x-mean)^2
3) then add all up
4) divide by n-1then square root that
(n is the number of variables)

Question 19

resistant to outliers

Answer 19

median and IQR

Question 20

non-resistant to outliers

Answer 20

mean and SD and very affected by outliers

Question 21

parameter

Answer 21

that describes entire population

Question 22

statistic

Answer 22

that describes a sample taken from population

Question 23

what is used to describe the center and the standard deviation

Answer 23

mean

Question 24

interpret the median

Answer 24

about half the states have fewer than the median number of electoral votes and half of the states more than median number of electoral votes

Question 25

if a distribution is strongly skewed to the right with no outliers its probably

Answer 25

mean>median

Question 26

The scores on a stats test had a mean of 81 and a standard deviation of 9, One student was absent on the test day, and their score wasn’t included in the calculation. If these students score of 84 was added to the distribution of scores, what would happen to the mean and standard deviation

Answer 26

mean will increase and standard deviation will decrease

Question 27

Is the individual of a data set a variable

Answer 27

NOPE