6. summarizing categorical data

Question 1

Frequency tables are for…

Answer 1

…One Categorical Variable

Question 2

Contingency Table are for…

Answer 2

…two categorical variables

Question 3

In contingency tables, row proportions add up to 100% at the end of the row whereas

Answer 3

column proportions do add up to 100% at the bottom of the column

Question 4

MinimumWhisker

Answer 4

Q1−1.5×IQR

Question 5

Maximum Whisker

Answer 5

Q3 +1.5xIQR

Question 6

Unimodal Distribution

Answer 6

One peak/mode

Question 7

Bimodal Distribution

Answer 7

two peaks/mode

Question 8

when figuring out standard deviation, do you do mean - number or number - mean?

Answer 8

Number - Mean

Question 9

when the data only represents one/two cases and it is unclear whether these cases are actually representative of the population.

Answer 9

Anecdotal Evidence

Question 10

in a scatter plot what should be the x and what should be the y axis

Answer 10

Y is the independent variable
X is the dependent variable

Question 11

You should have one aesthetic to

Answer 11

to one variable

Question 12

Outlier is how much above or below Q3 and Q1

Answer 12

1.5IQR

Question 13

the extent to which how different mean is to median

Answer 13

Skewed

Question 14

average distance from the mean

Answer 14

deviation

Question 15

Design Principles of Data Visualization (5)

Answer 15

1. principle of direction (reading left to right)
   2.remove chart junk + unnecessary info
2. less is more
3. visual changes must correspond with data changes
4. we identify changes in length more easily than changes in angles