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What is the difference between discrete data and continuous data?
Discrete variables have numbers that can be counted. Continuous data is measurable. Discrete data are data which can only take on a finite or countable number of values within a given range. Continuous data are data which can take on any value. It is measured rather than counted. The mass of a given sample of iron is continuous; the number of marbles in a bag is discrete.
Is age continuous data?
Age is typically considered to be continuous data. It can be measured as a precise number, such as 25.5 years, and can take on any value within a given range. However, in certain contexts, age may be treated as discrete data if it is categorized into distinct groups or intervals (e.g., 0-10, 11-20, 21-30 years).
What is the difference between continuous and cumulative?
Continuous refers to measurements that can take any value, possibly between two limits. Cumulative usually refers to a count "up to and including" the current value.
What is continuous data protection?
Continuous data protection is a program that minimizes downtime and data loss. It provides backup for your information so that any data can be retrieved and not lost forever.
What is the difference between continuous sampling and discrete sampling?
Continuous data is data that can theoretically be any amount at all. There may be a maximum and minimum value, but all numbers in between are possible. For instance, the amount of time it takes to complete a task, might be 13.4864 seconds. This makes the time continuous data. Discrete is data that can only be set amounts. For instance, how much money someone has, or how many times they've been to the cinema. You cannot have 13.4864 cents, or have visited the cinema 7.33 times. This is a discrete value.
What is the difference between discrete data and continuous data?
Discrete variables have numbers that can be counted. Continuous data is measurable. Discrete data are data which can only take on a finite or countable number of values within a given range. Continuous data are data which can take on any value. It is measured rather than counted. The mass of a given sample of iron is continuous; the number of marbles in a bag is discrete.
What is Continuous data in statistics?
It means numerical data which can hold any value . For instance, human height is continuous. There is no set of allowable heights. It can be any number. In contrast, human sex (i.e male or female) is categorical data, because there are only two possible values.
Is age continuous data?
Age is typically considered to be continuous data. It can be measured as a precise number, such as 25.5 years, and can take on any value within a given range. However, in certain contexts, age may be treated as discrete data if it is categorized into distinct groups or intervals (e.g., 0-10, 11-20, 21-30 years).
What is the difference between continuous and cumulative?
Continuous refers to measurements that can take any value, possibly between two limits. Cumulative usually refers to a count "up to and including" the current value.
What is continuous data protection?
Continuous data protection is a program that minimizes downtime and data loss. It provides backup for your information so that any data can be retrieved and not lost forever.
Random variable that can take any numeric value within a range of values?
continuous random variable
Can a function have a limit at every x-value in its domain?
Yes, that happens with any continuous function. The limit is equal to the function value in this case.Yes, that happens with any continuous function. The limit is equal to the function value in this case.Yes, that happens with any continuous function. The limit is equal to the function value in this case.Yes, that happens with any continuous function. The limit is equal to the function value in this case.
What is the difference between a discrete and a continuous distribution?
A simple continuous distribution can take any value between two other values whereas a discrete distribution cannot.
What is the difference between continuous sampling and discrete sampling?
Continuous data is data that can theoretically be any amount at all. There may be a maximum and minimum value, but all numbers in between are possible. For instance, the amount of time it takes to complete a task, might be 13.4864 seconds. This makes the time continuous data. Discrete is data that can only be set amounts. For instance, how much money someone has, or how many times they've been to the cinema. You cannot have 13.4864 cents, or have visited the cinema 7.33 times. This is a discrete value.
Are the mode and medium in any data set always similar in value?
i gotta take a dump
Is population a continuous variable?
No, it is a discrete variable. Since there are no fractional people, a count of people can only be a positive integer. For a variable to be continuous, it must be able to take on *any* real value in a domain. So, if populations could take on any real value, including rational and irrational ones, between 1 and say 10^12, including ones like 6.1385391..., then population would be a continuous variable.
What is discrte data in maths?
In maths there is discrete data and continuous data. Continuous data can be measured to any degree of accuracy, e.g. I am 1.8716749873651 metres tall. Discrete data cannot...e.g. I have 2 sisters. Discrete data cannot have halves or decimals, whole numbers only.
