Discrete data -

He has four legs

Has two brothers

Also, discrete data is counted and continuos is measured.

• specific data

• Fixed variables

• Fixed values

• Counted

Continues Data -

• Any Value

• Not fixed variables

• Not fixed values

• Not measured

Continuous; Can be measured, not counted.

Ex...

Somebody counts how many kids went to a certain house for candy on halloween.That same person compares to how many kids went to another house.Since there can't be half a child,this is discrete

Number of children, devices, houses, etc.

Continuous;

Height, Weight, Temperature, Length, etc

Continuous data can have any value within a given range and is measured on a continuous scale. Decimals and fractions may be included. Time, weight, and temperature are a few examples. Line graphs are used to display continuous data.

Survey: When people are asked to rate a product on a scale of 1 to 5, they can only choose one of these discrete values.

.Countable

.Counted

Continous-

.Uncountable

.Measured.

Bar graphs

frequency tables

number lines

Discrete data is data that has many estimable values. In discrete data, we can switch from a value to the next because there is no value present in between.

1.Variables can take only specific values.

2.We can count the values in a discrete data series.

3.Whole numbers are used to write discrete data values.

Continuous data:

4.Variables can take any value within a range.

5.We cannot count but measure the values in a continuous data series.

6.Real numbers are used to used to write continuous data values.

Real numbers are used to used to write continuous data values.

Final outcome/values are more accurate.

Easier to process.

Not much of hardwork to organize and represent/

Example-

If you count the number of trees in different parks to compare them,this is discrete data since it is countable and uses whole numbers.

Continuous data

Continous data is not fixed data, they can be measured and are not fixed numbers, for example shirt sizes are calculated into average which is mean. For instance, 12 year olds wear size 12 normally but some like 1 or 2 people could have a larger size which is like 15. So over here mean is being used to calculate the average and also ratio and proportion could be used. Like 4:1 four students wear size 12 and one wears 15

Some examples of discrete data in real life situations are:

The amount of students present in a class

the number of employees working at so and so department

the amount of books on a shelf

....etc.

Discrete data is always simpler to analyse, as it includes whole numbers and is usually easily categorisable. Continuous data is harder due to the fact that you must create ranges in reference to the information received, and being in decimal, making the calculation time longer.

Example-

Number of students in each division.

It provides statistics by using terms for counting.

Discrete data is counted and not measurable.

Discrete data is used for smaller sets of data however continuous data is better for larger sets of data since they have ranges which are essentially easier to use.

- The student attendance in a class on a certain day.

-When you roll a dice and move that many spaces forward

-The number of homework assignments you have for a certain week.

-

For example, the no. of students in a class is a discrete data

Reason: you can't have a fraction of a student.

2)Books in a library: there cannot be half a book, books are counted in whole units.

3) Cars in a parking lot: Cars are also counted as whole units.