difference between discrete and continuous number with examples?
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Discrete data can only take particular values. There may potentially be an infinite number of those values, but each is distinct and there's no grey area in between. Discrete data can be numeric -- like numbers of apples -- but it can also be categorical -- like red or blue, or male or female, or good or bad.
Continuous data are not restricted to defined separate values, but can occupy any value over a continuous range. Between any two continuous data values there may be an infinite number of others. Continuous data are always essentially numeric.
It sometimes makes sense to treat numeric data that is properly of one type as being of the other. For example, something like height is continuous, but often we don't really care too much about tiny differences and instead group heights into a number of discrete bins. Conversely, if we're counting large amounts of some discrete entity -- grains of rice, or termites, or pennies in the economy -- we may choose not to think of 2,000,006 and 2,000,008 as crucially different values but instead as nearby points on an approximate continuum.
It can also sometimes be useful to treat numeric data as categorical, eg: underweight, normal, obese. This is usually just another kind of binning.
It seldom makes sense to consider categorical data as continuous.
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Continuous data are not restricted to defined separate values, but can occupy any value over a continuous range. Between any two continuous data values there may be an infinite number of others. Continuous data are always essentially numeric.
It sometimes makes sense to treat numeric data that is properly of one type as being of the other. For example, something like height is continuous, but often we don't really care too much about tiny differences and instead group heights into a number of discrete bins. Conversely, if we're counting large amounts of some discrete entity -- grains of rice, or termites, or pennies in the economy -- we may choose not to think of 2,000,006 and 2,000,008 as crucially different values but instead as nearby points on an approximate continuum.
It can also sometimes be useful to treat numeric data as categorical, eg: underweight, normal, obese. This is usually just another kind of binning.
It seldom makes sense to consider categorical data as continuous.
HOPE THIS WILL HELP YOU.....
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Discrete series refers to the series in which frequency is written with marks.....
Marks +...... - 10,20,30......
Frequency - - 2,5,7........
Continuous series refers to that series which include class intervals... Such as... 10-20,20-30,30-40.....
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Marks +...... - 10,20,30......
Frequency - - 2,5,7........
Continuous series refers to that series which include class intervals... Such as... 10-20,20-30,30-40.....
❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️
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