1.2 Quantitive Data

Question 1

Univariate Data

Answer 1

(One-variable) describes a single characteristic of a dataset or population

Question 2

Bivariate Data

Answer 2

(Two-variable) describes two characteristics for each subject

Question 3

Multivariate Data

Answer 3

(Many variables) describes many characteristics for each subject

Question 4

How do we display Quantitive Data?

Answer 4

• Dotplots(line plots)
• Stem-and-leaf plot
• Histogram
• Box-and-whiskers plots

Question 5

What is a dot plot?

Answer 5

A dot plot is the simplest graph to construct and interpret, as each data value is shown as a dot( or x) above its location on a number line.

Question 6

What is a stem-and-leaf Plot(stem plot)?

Answer 6

It’s best for small data and nicely shows the shape of a distribution but it can be hard to make sometimes.

Question 7

How does a back-to-back stem plot look?

Answer 7

Question 8

What is a histogram?

Answer 8

Question 9

Graphical Display Of Distribution: Center

Answer 9

Where is the location of the center of the dataset(i.e, mean, median, mode)?

Question 10

Graphical Display Of Distribution: Spread

Answer 10

How far apart are the data values (i.e, variance, standard deviation , range, IQR) ?

Question 11

Graphical Display Of Distribution: Clusters

Answer 11

Are the data bunched or grouped around a specific value?

Question 12

Graphical Display Of Distribution: Gaps

Answer 12

Are there intervals for which there are no data?

Question 13

Graphical Display Of Distribution: Outliers

Answer 13

Are there values unusually different from the rest?

Question 14

Graphical Display Of Distribution: Shape

Answer 14

Symmetric, skewed, one or more peaks?

Question 15

Graphical Display Of Distribution: what is the acronym to describe the distributions graphically?

Answer 15

CUSS

• Center
• Unusual (clusters, gaps, outliers)
• Shape
• Spread

Question 16

Graphical Display Of Distribution: Example

Answer 16