Q: Is the number of people at a pop concert continuous or discrete?

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Yes, is a discrete variable.

A continuous number can take any value, such a 1.234, or 3.5, or 10.11. Height is usually a continuous quantity (even though height cannot be negative, it is still continous). Time is also usually considered continuous. Whereas a discrete number must take certain values, such as (1, 1/2, 3, 4, 5 etc. . for shoe sizes) or (1, 2, 3 etc.. for amount of people). Since you cannot get .2 of a person, or -3 pencils or something equally illogical .

Technically it is a continuous variable but sometimes (particularly with people) it is treated as discrete because people think of their age in whole years.

A continuous variable is one that can take any real numerical value. The length of a strip can be anything. A person's height and age can take any real values, within reasonable limits. Whereas, discrete variables will only have values that are whole numbers, like the number of people on a football team, or the number of major planets in the solar system. No star could ever have 5.62 major planets, for example.

These terms are normally used in the context of [statistical] variables. A discrete variable is one which can take only a finite (or countably infinite) number of values. These can be whole numbers but could also be half-units, such as for European shoe sizes, or men's shirt collar sizes. A continuous variable is one which can take any value over a range.In normal use, though, the distinction is sometimes blurred. Time, for example, is normally regarded as continuous but people usually give their ages in whole numbers.

Related questions

Income is discrete. People can have only a finite number of possible income values.

A discrete number is a full, whole number while a continuous number may be any value in a range. Since a committee consists of people, and people aren't divisible, a committee consists of a whole number (discrete) of people.

Neither, since it is "qualitative data", not "quantitative". Only quantitative data can be discrete or continuous. (Unless your assigning a numerical "value" to each nationality type, in which case it would be quantitative discrete). Answer 2: If considering the percentage, eg 100% Irish, 50% Irish, etc., then it is theoretically a continuous variable, assuming an infinite number of generations. However, in terms of currently existing and past living people, for any nationality, it is a discrete variable.

Yes, is a discrete variable.

yes

A continuous variable is one that can take infinite number of values in an interval. Examples are weight, height. A person's weight can be 150.2 lbs, 150.456 pounds and so on. Discrete variables, on the other hand can only assume a finite number of values. For example, number of people in a movie theatre.

A continuous number can take any value, such a 1.234, or 3.5, or 10.11. Height is usually a continuous quantity (even though height cannot be negative, it is still continous). Time is also usually considered continuous. Whereas a discrete number must take certain values, such as (1, 1/2, 3, 4, 5 etc. . for shoe sizes) or (1, 2, 3 etc.. for amount of people). Since you cannot get .2 of a person, or -3 pencils or something equally illogical .

Technically it is a continuous variable but sometimes (particularly with people) it is treated as discrete because people think of their age in whole years.

A continuous variable is one that can take any real numerical value. The length of a strip can be anything. A person's height and age can take any real values, within reasonable limits. Whereas, discrete variables will only have values that are whole numbers, like the number of people on a football team, or the number of major planets in the solar system. No star could ever have 5.62 major planets, for example.

These terms are normally used in the context of [statistical] variables. A discrete variable is one which can take only a finite (or countably infinite) number of values. These can be whole numbers but could also be half-units, such as for European shoe sizes, or men's shirt collar sizes. A continuous variable is one which can take any value over a range.In normal use, though, the distinction is sometimes blurred. Time, for example, is normally regarded as continuous but people usually give their ages in whole numbers.

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Both. It is correct to consider age as a continuous variable, but we collect data on people's ages as if they were discrete variables. Age is generally given in years, at least in humans. When we round off our numbers, we make age a discrete variable. We say a person turns 21 as if one day he's 20 years old and the next day he's 21 years old. This is the way we treat age as a discrete variable. If we considered age as a continuous variable, we would say he is 20.99 years old a day before his birthday and exactly 21 years old only on his birthday, on the exact time of his birth. After that he is 21.001 years old.