Continuous data is one that falls on a continuous sequence.

Continuous. As volume, it is continuous. Surely, the names of anything are discrete. Discrete. What do you think? If we divided that, it would not be water any more! We imagine that we could take any part. But as a form, a circle is discrete; half a circle is not also a circle. b) The distance from here to the Moon. Ten people can be divided only in half, fifths, and tenths. Q. Common examples are variables that must be integers, non-negative integers, positive integers, or only the integers 0 and 1. a box of chocolates -- it will always have a limit, namely one chocolate.

(Half a thought?).

We need them for measuring; for assigning a number to whatever is continuous. For instance, we could make a regression analysis to check if the weight of product boxes (here is the continuous data) is in synchrony with the number of products inside ( here is the discrete data). Discrete data is the type of data that has clear spaces between values. Half a person is not also a person. We do not need fractions for counting. That distance is not. That means that as we go from A to B, the line "continues" without a break. And most important, any part of AB, however small, will still be a length. One person, two, three, four, and so on. is done for discrete data. But consider the distance between A and B. We count things that are discrete. A NATURAL NUMBER is a collection of indivisible ones. And most important, any part of AB, however small, will still be a length. Continuous!

Discrete.

That gives rise to the fractions, which are the parts of number 1. Was it like a balloon being inflated? We can imagine half of that distance, or a third, or a fourth, and so on. Our idea of time, like our idea of distance, is that there is no smallest unit. Any parts. Discrete. Example: the number of students in a class.

f) 60 minutes. A R I T H M E T I C. WE MEASURE things that are continuous; therefore we need fractions.

Our idea of time, like our idea of distance, is that there is no smallest unit. Continuous. That is why, when we do something with discrete and continuous data, actually we do something with numerical data. The speed is changing continuously. We can imagine half of that distance, or a third, or a fourth, and so on. There is nothing to count. What do you think? Identify whether the experiment involves a discrete or a continuous random variable. Discrete data is graphically represented by bar graph whereas a histogram is used to represent continuous data graphically. That means that as we go from A to B, the line "continues" without a break. Discrete data contains distinct or separate values. To take up this question, we must explain what we mean by continuous versus discrete.

Data can be Descriptive (like "high" or "fast") or Numerical (numbers). Continuous. Continuous. Continuous.

l)  The acceleration of a car as it goes from 0 to 60 mph.

Discrete. But consider the distance between A and B. Continuous data is data that falls in a continuous sequence. Problem 2.

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As area, it is continuous; half an area is also an area. Half a person is not also a person. It can take only distinct or separate values. Was it like a balloon being inflated?

Unlike, continuous function graph, the points are connected with an unbroken line. c) A bag of apples. And Numerical Data can be Discrete or Continuous: Discrete data is counted, Continuous data is measured . Continuous. p)  Thoughts. Discrete. On the contrary, tabulation for continuous data, done against a group of value, called as grouped frequency distribution. What exactly is the difference? You cannot take a third of them. Or was each new form discrete? s done for continuous data. f) 60 minutes.

In a graph of the discrete function, it shows distinct point which remains unconnected. Ten people can be divided only in half, fifths, and tenths. Discrete Data can only take certain values.

d) Applesauce. Continuous. Continuous. Discrete. I think you can technically look at your project as a continuous set. Half a sentence is surely not also a sentence. Discrete data contains distinct or separate values. If we divided that, it would not be water any more! What is more, a collection of discrete units will have only certain parts. Half a sentence is surely not also a sentence. By and large, both discrete and continuous variable can be qualitative and quantitative. There is nothing to count. Privacy, Difference Between Histogram and Bar Graph, Difference Between Discrete and Continuous Variable, Differences Between Skewness and Kurtosis, Difference Between Primary and Secondary Data.