Module 2 - Section 1

Question 1

nature of the variable

Answer 1

categorical or numerical/ qualitative or quantitative

Question 2

Graph types for categorical variable

Answer 2

bar chart, pie chart

Question 3

graph types for numerical variable

Answer 3

dot plots, stem plots, histograms, time plots, box plots, scatter plots

Question 4

distribution of a categorical variable

Answer 4

how the observations are distributed across the categories

Question 5

frequency

Answer 5

number of individuals who fall into each category

AKA count

Question 6

relative frequency

Answer 6

fraction of how many people who fall into each category over total number of individuals
frequency/number of observations

Question 7

percentage of relative frequency

Answer 7

(frequency/total # of observations) x 100%

Question 8

frequency distribution table

Answer 8

categories in one column, frequency in next column

Question 9

relative frequency table

Answer 9

columns: category, relative frequency, percents

Question 10

purpose of bar chart

Answer 10

shows frequency or percent in the different categories

Question 11

purpose of pie chart

Answer 11

shows relationship between the parts and the whole

Question 12

bar chart (appearance)

Answer 12

Title

frequency
or
relative ________________________ bars
frequency

______________________ categories

Question 13

frequency vs relative frequency bar charts

Answer 13

appear the same, just different scale on the y-axis

Question 14

pie chart

Answer 14

circular chart, emphasize each category to the whole

slice size=category relative frequency x 360 degrees

Question 15

contingency table

Answer 15

shows relationship between two categorical variables

Question 16

appearance of contingency table

Answer 16

Title
smoker non smoker total
heart Y #1 #2 1+2
disease N #3 #4 3+4
Total 1+3 2+4 1+2+3+4

Question 17

marginal distribution

Answer 17

the totals along the bottom and right of a contingency table that shows the frequency distribution of its respective variable

Question 18

conditional distribution

Answer 18

shows the distribution of one variable for just the individuals who satisfy some condition on another variable
Smokers that have and do not have heart disease.
Those with heart disease that do or do not smoke.

Question 19

Associated

Answer 19

if the conditional distribution varied, or is not distributed equally, then the two variables are associated.
AKA dependent or not independent

Question 20

Independent

Answer 20

if the conditional distribution is the same for each category, or evenly distributed then the variables are independent.
AKA no association or not dependent