variable is discrete or continuous



How can I convert discrete variable into continuous using r?

The meaning and difference between discrete and continuous variable are poorly understood by many people. So, check out this article to have a better understanding n the two basic statitical terms.

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Discrete and Continuous Data. Data can be Descriptive (like "high" or "fast") or Numerical (numbers). And Numerical Data can be Discrete or Continuous: Discrete data is counted, Continuous data is measured . Discrete Data. Discrete Data can only take certain values. Example: the number of students in a class.

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Discrete if measured in a number of years, minutes, seconds. However it would be continuous if measured to an exact amount of time passed since the start of something. Age is measured in units that, if precise enough, could be any number. Therefore the set they come from is infinite. For example, someone could be 22.32698457 years old or …

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I would like to convert my continuous variable into a discrete one using the threshold variables: If x is between 0 and 3 the discrete variable should be 1 If x is between 3 and 4.5 the discrete variable should be 2 If x is between 4.5 and 6 the discrete variable …

8/29/2009 · Topic Discrete Vs Continuous Data. ... (go on), big, and too big. Is it attribute or variable?. I would still call it discrete, categorical data. I could put enough go – no go gages to have a better discrimination than a calipper, for example. And now you are into the grey area you mentioned. At some point, if you had a set of pin gages in ...

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Video: Continuous, Discrete & Categorical Variables: Definition and Examples When doing research, variables come in many types. In this lesson, we'll explore the three most common types of ...

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The meaning and difference between discrete and continuous variable are poorly understood by many people. So, check out this article to have a better understanding n the two basic statitical terms.

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Numeric variables may be further described as either continuous or discrete: A continuous variabl e is a numeric variable. Observations can take any value between a certain set of real numbers.

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Discrete, when the variable takes on a countable number of values. Most often these variables indeed represent some kind of count such as the number of prescriptions an individual takes daily. Continuous , when the variable can …

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Discrete and Continuous Variables

Discrete or Continuous Variables. Ask Question. up vote 1 down vote favorite. ... convert continuous random variable to a discrete one for the given exponential distribution. 2. Invariant Probability of Discrete Time MC from Continuous Time Markov Chain. 0. Independence of coin tosses (Exercise 1.5.3 from Probability and Random …

A discrete variable is a kind of statistics variable that can only take on discrete specific values. The variable is not continuous, which means there are infinitely many values between the maximum and minimum that just cannot be attained, no matter what.

Continuous Variable: Definition

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Answer: Continuous if looking for exact age, discrete if going by number of years. If a data set is continuous, then the associated random variable could take on any value within the range. As an example, suppose that the random variable X, representing your exact age in years, could take on any value between 0 and 122.449315 (the latter …

dependent variable - (statistics) a variable in a logical or mathematical expression whose value depends on the independent variable; "if f(x)=y, y is the dependent variable" predictor variable - a variable that can be used to predict the value of another variable (as in statistical regression)

Define and distinguish between discrete and continuous variables; ... blueberry, and spinach. The variable "type of supplement" is a qualitative variable; there is nothing quantitative about it. In contrast, the dependent variable "memory test" is a quantitative variable since memory performance was measured on a quantitative scale (number ...

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A random variable is a numerical description of the outcome of a statistical experiment. A random variable that may assume only a finite number or an infinite sequence of values is said to be discrete; one that may assume any value in some interval on the real number line is said to be continuous ...

Random variables, also those that are neither discrete nor continuous, are often characterized in terms of their distribution function. Definition Let be a random variable. The distribution function (or cumulative distribution function or cdf ) …

Discrete vs Continuous Variables . In statistics, a variable is an attribute that describes an entity such as a person, place or a thing and the value that variable take may vary from one entity to another.

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In an introductory stats class, one of the first things you’ll learn is the difference between discrete vs continuous variables. In a nutshell, discrete variables are like points plotted on a chart and a continuous variable can be plotted as a line.

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Discrete, when the variable takes on a countable number of values. Most often these variables indeed represent some kind of count such as the number of prescriptions an individual takes daily. Continuous , when the variable can …

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Fundamentals of Statistics 1: Basic Concepts :: Discrete and Continuous If you have quantitative data, like time to complete a task or number of questions correct on a quiz, then the data can be either continuous or discrete.

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Converting discrete variables into continuous... Learn more about genetic algorithm, discrete variable . ... Do you know what kind of program or function i can use to transform those discrete variables into continuous variables ? ... discrete variable;

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1.2 - Discrete Data Types and Examples. ... Continuous variables grouped into small number of categories, e.g., income grouped into subsets, blood pressure levels (normal, high-normal etc) ... Methods applicable for one type of variable can be used for the variables at higher levels too (but not at lower levels). For example, methods ...

5/11/2012 · Best Answer: A discrete variable can take only discrete values, that is, you can find values a and b which discrete random variable can take, but it cannot take any value between them. On the contrary, if a continuous variable can take values a and b, then it can take any value between a and b as well. a ...Status: ResolvedAnswers: 3Discrete Dependent Variable Modelsonlinepubs.trb.org/onlinepubs/nchrp/cd-22/manual/v2chapter5.pdf · PDF filevariable Y and one or more independent variables X. The dependent variable, Y, is a discrete variable that represents a choice, or category, from a …

Fundamentals of Statistics 1: Basic Concepts :: Discrete and Continuous If you have quantitative data, like time to complete a task or number of questions correct on a quiz, then the data can be either continuous or discrete.

Discrete if measured in a number of years, minutes, seconds. However it would be continuous if measured to an exact amount of time passed since the start of something. Age is measured in units that, if precise enough, could be any number. Therefore the set they come from is infinite. For example, someone could be 22.32698457 years old or …

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Discrete and Continuous Data. Data can be Descriptive (like "high" or "fast") or Numerical (numbers). And Numerical Data can be Discrete or Continuous: Discrete data is counted, Continuous data is measured . Discrete Data. Discrete Data can only take certain values. Example: the number of students in a class.

Discrete Random Variables - Probability Distributions. A probability distribution is similar to a frequency distribution or a histogram.Defined characteristics of a population selected randomly is called a random variable and when the values of this variable is measurable we can determine its mean or average or expected value and also its …

In this post, we're going to look at why, when given a choice in the matter, we prefer to analyze continuous data rather than categorical/attribute or discrete data. As a reminder, when we assign something to a group or give it a name, we have created attribute or categorical data.

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A discrete random variable is a random variable which takes on at most countably many values. In particular, any random variable that takes on finitely many values is discrete. In particular, any random variable that takes on finitely many values is discrete.

determine whether the quantitative variable is discrete or continuous Length (in minutes) of a country song continuous determine whether the quantitative variable is discrete or continuous Temperature on a randomly selected day …

Discrete and Continuous Data. Data can be Descriptive (like "high" or "fast") or Numerical (numbers). And Numerical Data can be Discrete or Continuous: Discrete data is counted, Continuous data is measured . Discrete Data. Discrete Data can only take certain values. Example: the number of students in a class.

Discrete or Continuous Variables. Ask Question. up vote 1 down vote favorite. ... convert continuous random variable to a discrete one for the given exponential distribution. 2. Invariant Probability of Discrete Time MC from Continuous Time Markov Chain. 0. Independence of coin tosses (Exercise 1.5.3 from Probability and Random …

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A Random Variable is a set of possible values from a random experiment. Discrete Data can only take certain values (such as 1,2,3,4,5) Continuous Data can take any value within a range (such as a person's height) In our Introduction to Random Variables (please read that first!) we look at many ...

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A type of variable, also called a categorical or nominal variable, which has a finite number of possible values that do not have an inherent order.For example, hair color would be a discrete variable, because it can only have a limited number of values, such as red, brown, and black, that does not occur in any particular order. Different from other variable types such as continuous …

Discrete Random Variables - Probability Distributions. A probability distribution is similar to a frequency distribution or a histogram.Defined characteristics of a population selected randomly is called a random variable and when the values of this variable is measurable we can determine its mean or average or expected value and also its …

Random variables - Statlect

5/11/2012 · Best Answer: A discrete variable can take only discrete values, that is, you can find values a and b which discrete random variable can take, but it cannot take any value between them. On the contrary, if a continuous variable can take values a and b, then it can take any value between a and b as well. a ...Status: ResolvedAnswers: 3Discrete Dependent Variable Modelsonlinepubs.trb.org/onlinepubs/nchrp/cd-22/manual/v2chapter5.pdf · PDF filevariable Y and one or more independent variables X. The dependent variable, Y, is a discrete variable that represents a choice, or category, from a …

Continuous Variable. If a variable can take on any value between its minimum value and its maximum value, it is called a continuous variable; otherwise, it is called a discrete variable.. Some examples will clarify the difference between discrete and continuous variables. Suppose the fire department mandates that all fire fighters must …

Discrete and Continuous Data. Data can be Descriptive (like "high" or "fast") or Numerical (numbers). And Numerical Data can be Discrete or Continuous: Discrete data is counted, Continuous data is measured . Discrete Data. Discrete Data can only take certain values. Example: the number of students in a class.

Numeric variables may be further described as either continuous or discrete: A continuous variabl e is a numeric variable. Observations can take any value between a certain set of real numbers.

dependent variable - (statistics) a variable in a logical or mathematical expression whose value depends on the independent variable; "if f(x)=y, y is the dependent variable" predictor variable - a variable that can be used to predict the value of another variable (as in statistical regression)

9/12/2007 · Is money discrete or continuous? Discussion in 'Mathematics' started by deleted456, Sep 10, 2007. Page 1 of 2 1 2 Next > deleted456. Just marking a homework and a pupil has put money down as discrete. Thought (1) Money can only take certain values, i.e. whole pennies

Random variables, also those that are neither discrete nor continuous, are often characterized in terms of their distribution function. Definition Let be a random variable. The distribution function (or cumulative distribution function or cdf ) …

determine whether the quantitative variable is discrete or continuous Length (in minutes) of a country song continuous determine whether the quantitative variable is discrete or continuous Temperature on a randomly selected day …

If a variable can take on any value between two specified values, it is called a continuous variable; otherwise, it is called a discrete variable. Some examples will clarify the difference between discrete and continuous variables.

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Types of Variables

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Discrete and Continuous variables. Hello everybody! I have a data frame with discrete and continuous variables something like...

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Is age continuous or discrete data? + Example - …

In this post, we're going to look at why, when given a choice in the matter, we prefer to analyze continuous data rather than categorical/attribute or discrete data. As a reminder, when we assign something to a group or give it a name, we have created attribute or categorical data.

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Most variables in a data set can be classified into one of two major types. Numerical variables. The values of a numerical variable are numbers. They can be further classified into discrete and continuous variables.. Discrete numerical variable

The second type of random variable is a continuous random variable, which is a variable that takes on an infinite number of possible values. Continuous random variable is not defined at specific value.

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Discrete and Continuous Random Variables (Jump to: Lecture | Video) Random Variable A random variable is a variable which has its value determined by a probability experiment.

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1.2 - Discrete Data Types and Examples. ... Continuous variables grouped into small number of categories, e.g., income grouped into subsets, blood pressure levels (normal, high-normal etc) ... Methods applicable for one type of variable can be used for the variables at higher levels too (but not at lower levels). For example, methods ...

Discrete and Continuous Random Variables

Discrete and Continuous Random Variables

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A continuous variable is one that can assume different values between each point. Put as an example (e.g when looking at height) one can assume a height of 178, 178.1, 178.2. . . 178.9. Thus ...

Discrete vs Continuous Distributions The distribution of a variable is a description of the frequency of occurrence of each possible outcome. A function can be defined from the set of possible outcomes to the set of real numbers in such a way that ƒ(x) = P(X = x) (the probability of X being equal to […]

Types of variable - Massey University

Discrete and Continuous Data. Data can be Descriptive (like "high" or "fast") or Numerical (numbers). And Numerical Data can be Discrete or Continuous: Discrete data is counted, Continuous data is measured . Discrete Data. Discrete Data can only take certain values. Example: the number of students in a class.

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Types of Variables

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Most variables in a data set can be classified into one of two major types. Numerical variables. The values of a numerical variable are numbers. They can be further classified into discrete and continuous variables.. Discrete numerical variable

Types of Variables

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Since you're providing the group variable with a numeric vector, this is understood as a continuous variable. You need to convert it to a categorical variable. You need to convert it to a categorical variable.

Discrete and Continuous Variables

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Discrete if measured in a number of years, minutes, seconds. However it would be continuous if measured to an exact amount of time passed since the start of something. Age is measured in units that, if precise enough, could be any number. Therefore the set they come from is infinite. For example, someone could be 22.32698457 years old or …

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What is the difference between discrete data and continuous data? ... What is the difference between discrete data and continuous data? continuous-data discrete-data. share | cite ... Some introductory textbooks confuse a ratio variable with continuous variables. A count variable is a ratio variable, but it is not continuous. ...

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A probability distribution is a formula or a table used to assign probabilities to each possible value of a random variable X. A probability distribution may be either discrete or continuous. A discrete distribution means that X can assume one of a countable (usually finite) number of values, while a continuous distribution means that X […]

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9/12/2007 · Is money discrete or continuous? Discussion in 'Mathematics' started by deleted456, Sep 10, 2007. Page 1 of 2 1 2 Next > deleted456. Just marking a homework and a pupil has put money down as discrete. Thought (1) Money can only take certain values, i.e. whole pennies

DISCRETE AND CONTINUOUS VARIABLES

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An explanation of the difference between discrete and continuous outcomes. ... Let's first break down the use of the term random variable. Why random? ... Discrete vs. continuous: What's the ...

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An explanation of the difference between discrete and continuous outcomes. ... Let's first break down the use of the term random variable. Why random? ... Discrete vs. continuous: What's the ...

Discrete and Continuous Variables

In an introductory stats class, one of the first things you’ll learn is the difference between discrete vs continuous variables. In a nutshell, discrete variables are like points plotted on a chart and a continuous variable can be plotted as a line.

A random variable is a numerical description of the outcome of a statistical experiment. A random variable that may assume only a finite number or an infinite sequence of values is said to be discrete; one that may assume any value in some interval on the real number line is said to be continuous ...

A type of variable, also called a categorical or nominal variable, which has a finite number of possible values that do not have an inherent order.For example, hair color would be a discrete variable, because it can only have a limited number of values, such as red, brown, and black, that does not occur in any particular order. Different from other variable types such as continuous …

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Converting discrete variables into continuous... Learn more about genetic algorithm, discrete variable . ... Do you know what kind of program or function i can use to transform those discrete variables into continuous variables ? ... discrete variable;

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A random variable is a numerical description of the outcome of a statistical experiment. A random variable that may assume only a finite number or an infinite sequence of values is said to be discrete; one that may assume any value in some interval on the real number line is said to be continuous ...

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variable is discrete or continuous