# Questions tagged [continuous-data]

A random variable $X$ is called continuous if its set of possible values is uncountable, and the chance that it takes any particular value is zero ($\text{P}(X = x) = 0$ for every real number $x$). A random variable is continuous if and only if its cumulative probability distribution function is a continuous function.

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### Transform to a continuous variable [closed]

I need to make my year variable (2010, 2011,...) which is currently numerical in to a continuous variable starting at 0 (0,1,2,...) how can i transform this?
1 vote
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### Correlation between binary (true/false) variable(s) and a continuous variable (a real number)

I have four types of binary variables (true or false) and a single continuous variable. I want to analyze the correlation between any of those binary variables with the continuous variable. My dataset ...
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### Why variable representation plays a role in prediction?

I am working on binary classification using a random forest, where the data have 977 records and 6 columns. The class ratio is 77:23. I have two derived input variables. One variable is called ...
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### R Mediation with continuous predictor and binary logistic regression models

I am running a mediation model using the r mediation package, but I am not getting the correct output for my variable types. I have a continuous predictor, but the output is treating my predictor as a ...
1 vote
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### How to consider categorial ordinal variable?

First, I would like to apologize because I'm a beginner in statistics and I'm surely confused on some points. I would like to explain a continuous quantitative variable, which is a species activity, ...
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### Salary of a group of people is continuous or discrete

I have salary data of 3000 employees ranging from 3000 - 10000 dollars. Based on my understanding:(https://mathbitsnotebook.com/Algebra1/FunctionGraphs/FNGContinuousDiscrete.html) Continuous data is ...
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### Trying to Understand my Data: New to Statistics

I’m new to statistics and I’m a bit overwhelmed by all of the methods that I’ve been reading about. I’m finding that my biggest hurdle is understanding how my data would fit into different models. I ...
1 vote
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### How can $N(x|\mu, \sigma^2)$ not be 0?

How can $N(x|\mu,\sigma^2)$ not be 0? Because a Gaussian distribution is continuous and therefore there are an infinite number of values that x can occupy in the Gaussian distribution therefore the ...
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