Topic 4: Measures and Visualization of Variability

Question 1

A term used in statistics to express how a score compares to other scores in the same set.

Answer 1

percentile

Question 2

50th percentile is also known as

Answer 2

Median

Question 3

A type of quantile which divides the number of data points into four parts, or quarters, of more- or-less equal size.

Answer 3

quartile

Question 4

The value at which 75% of the answers lie above that value and 25% of the answers lie below that value.

Answer 4

25th percentile

Question 5

The difference between the third and first quartiles

Answer 5

interquartile range

Question 6

Extreme values that stand out greatly from the overall pattern of values in a dataset or graph.

Answer 6

outliers

Question 7

A chart that shows data from a five- number summary including one of the measures of central tendency.

Answer 7

boxplot

Question 8

The value at which 50% of the answers lie above that value and 50% of the answers lie below that value

Answer 8

50th percentile

Question 9

Interquartile Range Formula (Strictly no accronym)

Answer 9

interquartile range= third quartile - first quartile

Question 10

The value at which 25% of the answers lie above that value and 75% of the answers lie below that value.

Answer 10

75th percentile

Question 11

divides the data points in four equal parts

Answer 11

quartile

Question 12

provides information on the spread of the data and where the data is concentrated

Answer 12

quartile

Question 13

Median line in the “middle/mean”

Answer 13

Relatively symmetric

Question 14

Median line below the “middle/mean” More space above it
Skewed to the right

Answer 14

positively skewed

Question 15

Median line above the “middle”
More space below it Skewed to the left

Answer 15

negatively skewed

Question 16

CAUSES OF OUTLIERS?

Answer 16

-data entry
-measurement errors
-natural variations
-sampling problems

Question 17

to measure the spread of data. More ___ more spread the data is. but now tells where data is concentrated.

Answer 17

RANGE

Question 18

tells whether there is an outlier or not.

Answer 18

boxplot

Question 19

outliers/data points are extending bigger values/upward.
Mean is greater than median.
box partition is bigger than the lower area.

Answer 19

Positively skewd

Question 20

outliers/data points are extending towards smaller values/downward.
Median is greater than the mean.
box partition is bigger than the upper area.

Answer 20

Negatively skewd

Question 21

___ __ and ___ using to see if there is an outlier or not

Answer 21

Interquartile range and outlier