Chapter 1 - Exploring Data

Question 1

individuals

Answer 1

who or what the data is being gathered from or about

Question 2

variable

Answer 2

what information is gathered from the individual

Question 3

categorical variable

Answer 3

variables are placed in categories or groups

Question 4

quantitative variable

Answer 4

variables are assigned a numeric value and can be operated on

Question 5

discrete data

Answer 5

a series of natural numbers (ex. 1, 2, 3…)

Question 6

continuous data

Answer 6

a set of infinite values (ex. 1 < x < 3)

Question 7

relative frequency

Answer 7

frequency is expressed as parts of the whole (percentage)

Question 8

joint relative frequency

Answer 8

a relative frequency that is the combination of multiple variables (calculated using the inner columns/rows of a two way table)

Question 9

marginal relative frequency

Answer 9

a relative frequency of a single variable (calculated using the total column/row of a two way table)

Question 10

explanatory variable

Answer 10

indicates the probability of another variable

Question 11

response variable

Answer 11

partially controlled by an explanatory variable

Question 12

mean

Answer 12

the sum of the values in a data set divided by the total number of values

Question 13

median

Answer 13

the middle value in a data set, or the mean of the two middle values

Question 14

mode

Answer 14

the most occurring value in a data set

Question 15

roughly symmetric

Answer 15

there is a single peak in the middle of the graph

Question 16

skewed left

Answer 16

the data peaks to the right

Question 17

skewed right

Answer 17

the data peaks to the left

Question 18

bimodal

Answer 18

there are two peaks

Question 19

uniform

Answer 19

there are no peaks

Question 20

gap clusters

Answer 20

the data is sporadic

Question 21

standard deviation

Answer 21

measures spread, =√(Σ(x-mean)^2)/n-1

Question 22

standard deviation interpreation

Answer 22

“the [context] typically wavers by [standard deviation] from the mean of [mean]”