Graphs.

Question 1

Histogram

Answer 1

Relative frequency table. Average is used to explain location

Question 2

boxplot

Answer 2

Relative frequency table. (Referred to as box and whiskers) Broken into quartile ranges. Interquartile range is the entire box, each end of the box is the upper and quartile ranges with the median in the middle.

Question 3

dot plot

Answer 3

Simple histogram like chart where data falls into a number of discrete bins. each data point represents 1.

Question 4

line graph

Answer 4

Line graph is represented by data points on a graph connected together by a line. Used to show change over time.

Question 5

circle graph

Answer 5

A circle divided into wedges each representing one part of the data.

Question 6

frequency (graphs)

Answer 6

Histogram or boxplot.

Question 7

trend

Answer 7

A trend is a pattern in a set of results.

Question 8

location

Answer 8

Location would be where the mean (Histograms) or median (Boxplot) sits.

Question 9

shape

Answer 9

Shape is the description of the data on the graph.
Skewed
Mound
Uniform
Bimodel

Question 10

spread (Histogram, Boxplot)

Answer 10

The range of the data. Ask whether most of the data is around the middle?

Question 11

symmetric (Histogram, Boxplot)

Answer 11

Refers to a set of data where there is a peak in the middle, and data is spread out evenly on both sides.

Question 12

Skewed (Histogram, boxplot)

Answer 12

Refers to a tail being stretched in one direction. The direction of skewness is the side with the long tail.

Question 13

peaked (Histogram)

Answer 13

How many peaks in the data.

Question 14

uniform (Histogram)

Answer 14

Refers to each bin being equal in frequency.

Question 15

Bimodel (Histogram)

Answer 15

Where there two classes in the data, or two peaks with their own spread.

Question 16

What three things are talked about when observing a graph.

Answer 16

Location
Spread
Shape

Question 17

Linear Correlation (Scatterplot)

Answer 17

Where the data plots are close to line set by R2 coefficient of determination.

Question 18

Negative Correlation (Scatterplot)

Answer 18

Where low values of (x) are associated with high values of (y) ore vice versa.

Question 19

Positive Correlation (Scatterplot)

Answer 19

Where high values of (x) are associated with low values of (y) and vice versa.

Question 20

Complementary event.

Answer 20

When 10% of something is defective, and 90% are not, these are the two complementary events as the .9 + .1 add up to 1.