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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How to use a Non-Linear Ordinal Variable as (In)dependent Variable?

I am using the World Values Survey and the answers to my independent variable are as follows: Daily Weekly Monthly Never Answers to my dependent variable: Always Usually Never As you can see, the ...
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Is there a method to find optimal discrete options from continuous data?

I have human perceptual data measured in a continuous scale. I am however not sure that the underlying variable being measures is in reality continuous, in fact I believe it might be a discrete scale. ...
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Why does rank correlation only depend on copula, and not on the margins, if the margins are continuous

I read that for continuous margins, then Rank correlation only depend on copula and not on the margins. However, it is not the case for the non-continuous margins. Is that because the Kendall's tau (...
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Very skewed and zero-inflated continuous outcome variable

I am trying to predict a positive and continuous outcome by using the generalized linear model in R (glm function) and I am wondering what family could I use for the training data. Some of the ...
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Confused about type of analysis between categorical variable (degree of severity of accident) and continuous variable (number of car passengers)

Good afternoon, As indicated in the title, for a project I am interested in finding any (if at all) relation between the number of passengers in a car and the severity of an accident. I am using JMP ...
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Statistical Test According to Independent Variables

I wish to test a statistical significance between means of data groups. The groups are determined by a continuous variable, however this continuous variable is applied to different test subjects (...
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678 views

Question about point mass prior and continuous distribution

Suppose we have a point mass prior, $$\theta \sim \begin{cases} I(\theta=1) ,& prob=\frac{1}{2} \\ Gamma(c,c), & prob=\frac{1}{2} \end{cases}$$ Then if we are asked $\lim_{c \to \infty} ...
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Not normally distributed data and point-biserial correlation?

If the data for the continuous variable is not normally distributed (shapiro-wilk sig = .000) can you still use a point-biserial correlation?? I have run the point biserial correlation to see and it ...
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859 views

Bayesian networks with continuous variables in Python [closed]

I am trying to create a Bayesian network model (Probabilistic graphical model) in Python, that can handle continuous data. I have tried using pgmpy, but the 'fit' function in pgmpy has not yet been ...
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50 views

Can a continuous cause have a discrete effect?

Say we have a continuous temperature as an input and a few climate categories as an output. For example, if the temperature is between 22.93 and ...
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303 views

Calculating variance and standard deviation of continuous time series

I am trying to calculate the variance and standard deviation of an unevenly spaced continuous time series. Example data: ...
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72 views

Correlation between continuous variable and a vector of unknown sizes

I wish to calculate the correlation between two different types of variables, namely a continuous variable and a variable containing a series/vector/list of floating numbers. I'm unsure about the ...
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Is it possible to compare continuous vs. dichotomous decisions in a meaningful way, that doesn't come down to different kinds of analyses?

I'm interested in finding out how the factors that contribute to a person's decision change when they are making a continuous vs. a dichotomous choice. However, I'm concerned that these two types of ...
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How to determine if my data is discrete or continuous in java? [duplicate]

Could you mind to teach me how can I test whether the given data is discrete or continuous in java? For example, given array (98.6, 99.2, 103.1) and my statistic service should determine the data ...
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Feature selection using chi squared for continuous features

I'm looking at univariate feature selection. A method that is often described, is to look at the p-values for a $\chi^2$-test. However, I'm confused as to how this works for continuous variables. 1. ...
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Seemingly identical variables behaving differently in lme4 binomial model

I have a binomial mixed effects model that was fitted as follows: ...
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Finding probability with $|X|$

Question: Let $X$ be a continuous random variable having density $f_X(x)$ given by $f_X(x) = \frac{1}{2}(\text{e}^{−|x|})$ , $-\infty < x < \infty$. Find $P(1 < |X| < 2)$. Is it ...
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Time Series Regression - Non-Contiguous Dataset

Is there a good way to run a time series regression on non-contiguous dataset, such as number of cars purchased per Quarter from a dealership (e.g. when for a reason I want to EXCLUDE certain Quarters ...
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Which test to compare Vitamin D serum level between malignant and benign tissues

I have Vitamin D levels for both malignant and benign tumor types and I need to compare them. Which test should I use, unpaired t test ? Another question; I have also PSA level ( also continuous data ...
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which kind of statistics for continous variables

I have one sample composed by 18 subjects. I measured the performance of a game and the fatigue before and after going to sleep and before and after a certain wake condition. So, I have game scores ...
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Normality test for coarsely sampled continuous data

I have conducted a test looking at the failure temperature of 6 groups of products. The products within a group are nominally identical and groups vary by their average failure temperature where the ...
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Difference between continuous and non-continuous data . [duplicate]

In a dataset "survey", pulse and age are given as non-continuous data. how come these age and pulse can be non-continuous? this is the reference link https://explorable.com/discrete-variables
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191 views

Different Types of Data

According to my Elementary statistics for Business and Economics text book revised Edition 2012 . Under a section concerning the Different types of Data . This text book says that under Quantitative ...
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Can we encode continuous target variable to train a model to predict original unchanged values?

I’m creating a predictive model where target variable is a continuous and can have either positive or negative values. From the business perspective, it is important to predict values of positive ...
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How to formulate a nested model when the higher-level variable is continuous?

I am trying to design a model that will allow me to simultaneously assess the effects of local and landscape-scale variables (both quantitative and continuous) on an ecological response (in this case, ...
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690 views

How to run a multilevel model with hurdle/zero-inflated and continuous dependent variable

I have a dataset on voting loyalty (measured as percentage dissenting votes on votes cast) of parliamentarians (dependent variable, percentages) and the inclusiveness of their party's selection ...
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527 views

how to measure the correlation between non-normally distributed numeric variable and nominal variable?

I have two nominal variables and some numeric variables. The first nominal variable is a binary one. I want to measure the correlation between this binary variable and the other numeric variables. ...
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114 views

How to compare two groups on one continuous variable, in function of one ordinal variable

I've got two groups (independent variable), one continuous dependent variable, and one 4-level ordinal variable (socioeconomic status). I would like to compare the two groups but (within each group) ...
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Interpreting results of ordinal logistic regression - ordinal dependent variable with 5 levels and continuous predictor variable

I conducted my analysis in SPSS as follows: I fitted a generalized linear mixed model based on multinomial distribution with a logit link function. I did that using repeated measures longitudinal ...
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399 views

Is continuous mutual information the correct analogue of the discrete version?

I'm interested in the mutual information of two continuous random variables $X$ and $Y$. Shannon defined differential entropy as $h(X) = -\int p_X(x)\log p_X(x) dx$, where $p_X$ is the probability ...
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Predict probabilities for continuous variable

Usually, with a continuous dependent variable, we can apply linear regression and then predict values based on new data. For instance, defaults on loans: let's say we know an individual will default ...
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continuous independent variable with three levels

I have a model with a variable named "Delay" as a predictor (measured in seconds). It sounds reasonable to treat it as a continuous variable. However, I have two thoughts regarding this: I sampled ...
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54 views

Which type of distribution is associated with a continuous variable that can take values between zero and a constant?

I'm working in descriptive statistics of a variable that is the duration of an animal's response given an 8 s interval window. Thus, this variable is bounded between 0 and 8 s. I want to estimate ...
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Which statistical test should I apply to my case which consists of categorical and continuous variables?

I have got the following data: I have the amount of walking of the person in min as the dependent variable (continuous) and I have got a mix of categorical and continuous variables as independent ...
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640 views

Methods of doing hypothesis testing on two continuous variables from same sample

If given a sample from a population how should we test the significance of a continuous random variable on another continuous random variable in the same sample? For example - given a sample of ...
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2answers
154 views

Finding mean and variance from given density function

Got this question and I don't know which path to take in answering the question. $$f(x)=\begin{cases}k&,\text{ if }0<x<1\\\frac{1}{2}k(3-x)&,\text{ if }1<x<3\\0&,\text{ ...
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Mutual information between continuous $Z$ and $g(Z)$ for differentiable $g$?

I have a continuous random variable $Z$ and a differentiable function $X = g(Z)$. Is the mutual information between $X$ and $Z$ necessarily $\infty$ or 0? Are there any examples of differentiable ...
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54 views

Variables with negative correlation coefficients

If I have a dataset which contains two variables having a high negative correlation coefficient , should I delete one of the variables. Consider the following scenario: If I have two columns, ...
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399 views

Common methods to calculate total distance from data with categorical, continuous and counting variables

I have a data set with categorical, continuous and counting variables. I want to be able to use a method that will give me a distance for each pairwise data point. From my understanding, each type ...
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103 views

Likert-scale data as DV… curious as to which regression model to use

I have a 1-10 Likert scale as my DV and five variables as my IV. My IVs include both continuous and categorical variables. I am wondering which independent variables have a major effect on my ...
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Continuous independent variable divided into two levels without discretion

As far as I know, for differentiating between different levels of an independent continuous variable in regression model, you can convert it into a dummy variable with a reference level and other ...
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Continuous or categorical data. Modeling depth, that is continuous through a range of values, but has a max depth that is discrete

I'm modeling depth to bedrock. These data are continuous through a range of depths, but have a max value that equates to as far as we could dig with our soil auger. So they are continuous through a ...
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Would “percentage of correct answers” be considered interval or ratio data?

I'm currently working on a research assignment an I'm trying to determine whether a dependent variable like "percentage of correct answers" would be considered interval or ratio data. I was originally ...
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Consider an ordinal variable as continuos for correlation with a continous variable

I need to analyse the results of a survey. Among the different questions I have: "How happy did you feel last month"?. There are 5 possible answers: Not at all Not very Somewhat Very Completely Now,...
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Tagging NA value in a continues variable

I'm using Random Forest model to predict academic success. As far as I know RF doesn't work with NAs. One variable is a grade in a certain course, which is not mandatory for the students, thus some ...
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What would be an appropriate intra-rater reliability method for just 3 items test-retest

I had 20 raters evaluating 35 items with continuous interval scores. 3 items (randomly chosen out of the 35 for each rater) were tested at the beginning and then again at the end of the session. I ...
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628 views

Odds ratio for continuous dependent variable by regression analysis

Can the odds ratio be calculated for a continuous dependent variable using logistic regression? If yes, kindly explain the procedure in SPSS. Further, can we apply logistic regression to an dependent ...
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53 views

Expected value $=\infty$? [duplicate]

If we let $U_1, U_2, U_3,..., U_n$ be uniform (0,1), find $$\mathbb E[\sum_{i=0}^n iU_i^{i-1}]$$which, using the linearity of expectation, gives $$\sum_{i=0}^n \mathbb E[i U_i^{i-1}]$$ Doing this ...
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Correlation plot with one categorical variable and rest continuous

In my dataset, I have one binary variable (Active/Inactive) and rest of the variables are continuous. I have converted a categorical variable into binomial (0,1) and then ran a correlogram plot in R ...
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Is weight still a continuous variable if its measure is rounded to an integer?

So it is obvious that weight is a continuous variable as it can be quantified with decimal precision;like 10.2 kg and 3.0122 kg. If we were to round it to an integer like 10 kg and 3 kg. Would then ...

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