Ways to display quantitative data

0.0(0)
Studied by 0 people
call kaiCall Kai
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
GameKnowt Play
Card Sorting

1/9

encourage image

There's no tags or description

Looks like no tags are added yet.

Last updated 11:53 AM on 10/16/26
Name
Mastery
Learn
Test
Matching
Spaced
Call with Kai
Chat

No analytics yet

Send a link to your students to track their progress

10 Terms

1
New cards

What are the 6 ways quantitative data can be displayed?

Table

Pie Chart

Bar chart: non continuous data

Histogram: continuous data

Line graph

Scattergram (no line through points)

2
New cards

What is the difference between a bar chart and a histogram? (2)

A bar chart compares distinct categories so there are gaps between the bars (eg. eye colour)

A histogram compares continous data so there are no gaps between bars (eg. height)

3
New cards

Histogram (2)

No gaps between bars

X-axis must be continuous data

4
New cards

Scattegram (2)

Used for correlations

Plotted points are not joined together

5
New cards

Table (2)

Includes raw data

Sometimes descriptive statistics

6
New cards

Bar chart (2)

Height represents frequency

Used for nominal data

7
New cards

Line graph (2)

Joins plotted points together

X axis must be continuous data

8
New cards
<p>What is normal distribution? (3)</p>

What is normal distribution? (3)

Symmetrical about the mean - bell shaped curve

Symmetry means the mean, median and mode are all the same

Many human characteristics are normally distributed eg. height and IQ

9
New cards
<p>What is positive skewed distribution? (3)</p>

What is positive skewed distribution? (3)

Cluster of scores at the lower end of data set - curve has a tail to the right

Mode is less than the median, which are both less than the mean

Examples include income and no. of children in a family

10
New cards
<p>What is negative skewed distribution? (3)</p>

What is negative skewed distribution? (3)

Cluster of scores at the higher end of the data set - curve has a tail to the left

Mode is more than the median, which are both more than the mean

An example includes age at retirement