Chapter One Vocab

Question 1

Individual

Answer 1

Objects described by a set of data, people animals or things

Question 2

Variable

Answer 2

Any characteristic of an individual, different values for different individuals

Question 3

Categorical

Answer 3

Places an individual into one of several groups

Question 4

Quantitive

Answer 4

Takes numerical values for which it makes sense to find an average

Question 5

Distribution

Answer 5

Tells what values a variable takes and how often it takes these values

Question 6

Marginal distribution

Answer 6

The marginal distribution of one of the categorical variables in a two way table of counts is the distribution of values of that variable among all individuals described by the table

Question 7

Conditional distribution

Answer 7

Describes the values of One variable among individuals who have a specific value of another variable. There is a separate one for each value of the other variable

Question 8

Association

Answer 8

Occurs between two variables if specific values of one variable tend to occur in common with specific values of the other

Question 9

SOCS

Answer 9

SHAPE
OUTLIERS
CENTER
SPREAD

Question 10

Skewed left

Answer 10

The data is more centered on the right but has a tail to the left

Question 11

Skewed right

Answer 11

The data is more centered to the left but has a tail towards the right

Question 12

Symmetric

Answer 12

If the left and the right are mirror images of each other

Question 13

Mean

Answer 13

All the numbers added up and divided by the total amount of numbers to find the average

Question 14

Median

Answer 14

The middle number of the data, helps with skewed to eliminate outliers

Question 15

IQR

Answer 15

Inner quartile range, Q3-Q1

Question 16

Statistic

Answer 16

Data

Question 17

Standard deviation

Answer 17

Measures the average distance of the observations from their mean, find the average of the squared distances and then finding the square root

Question 18

Variance

Answer 18

The average squared distance of the observations in a data set from their mean