Questions tagged [histogram]

A histogram is a graphical representation of the frequencies of a continuous variable. The variable is divided into bins and a bar is drawn for each bin, proportional to its frequency in the data.

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Gaps in a histogram in sampling distribution

This histogram shows the sampling distribution of 5000 sample proportions each based on 50 persons. Why are there gaps between the bars in the histogram?
Happy Cretine's user avatar
1 vote
0 answers
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Confirming my calculation of mean, standard deviation and median for a histogram

Average travel time* for men = 27.2 minutes, women = 23.6 minutes My calculations are the followings: The problem is my calculated mean is 28.4 but chart says 27.2 I calculate the mean with this ...
Amir's user avatar
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2 votes
0 answers
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I am confused about the histogram distribution and confidence interval

I have a dataset of 12627 records (value and sd) and want to get the sum and overall uncertainty of the sum. I ran Monte Carlo analysis with 10000 simulations. I got the statistical result as below. ...
Elizabeth's user avatar
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1 vote
1 answer
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Does taking the ratio of Empirical Distributions (histogram bins) show their differences?

Background I have two Empirical distributions, both derived from social media data. The first represents a broad sample of ~4.8 million posts and the number of followers each post author has. The ...
Connor's user avatar
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0 answers
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How to interpret error histogram and scatter plot?

I'm new to machine learning and I'm having a hard time interpreting how good my model is performing. I have run my model on a dataset of wine attributes trying to predict alcohol content based on the ...
n-l-i's user avatar
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6 votes
2 answers
236 views

Does this type of distribution have a name?

I have some integer data, produced by slightly convoluted numerical procedure, which is distributed between $0$ and $300$, with the most probable values being $0$ and $300$, and the least probable ...
Tor's user avatar
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8 votes
1 answer
373 views

Histograms and R squared correlation

I have two sets of predictions. One prediction has an R2 = 0.57, the other R2 = 0.51 . Plotting histograms of the predictions shows that the set with R2 = 0.51 looks more accurate as compared to the ...
ggoogle userr's user avatar
1 vote
0 answers
60 views

How Minitab calculate optimize number of bins of a normal distribution histogram

I used minitab to draw a normal distribution histogram and saw that the number of bins in that graph doesn't follow any rules to calculate bin size that I know of (sturge, square-root, rice, freedman-...
nein_kariki's user avatar
0 votes
1 answer
68 views

What is the effect of treating the samples of a non stationary process as stationary and plotting their distribution

Say I have a non stationary process. Let's say I take one realization of this process given by finite number of random variables $X_1$, $X_2$,...$X_n$. Now I plot them on a histogram. Can this ...
Akshat Joshi's user avatar
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0 answers
451 views

Explanation of what a density plot is [duplicate]

I have been working with histograms so far. I understand what they show. I am trying to understand what density plots are. In this tutorial it says The curve (of the density plot)represents the ...
KansaiRobot's user avatar
4 votes
1 answer
302 views

Plots to judge data that is a bit asymmetric

I have data that goes from negative to positive. When plotted in an histogram it looks like this The data is the "error". If I have another set of data I want to learn how to judge which ...
KansaiRobot's user avatar
1 vote
1 answer
56 views

Histograms and other plots to judge and analyze data

I have a variable that changes over time. Let's call this variable "the error". I use a histogram to graph how many of intervals of error has occurred. For example Here you can see that a ...
KansaiRobot's user avatar
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0 answers
76 views

Jensen-Shannon Distance - Estimating the discrete probability distribution

In my current research, I am working with a comprehensive dataset that captures human mobility patterns across different locations. My specific focus is on quantifying the similarity between these ...
Negin Zarbakhsh's user avatar
3 votes
1 answer
682 views

I have applied many statistical tests to my data, but still cannot determine normality

I have run multiple tests to determine normality on my dataset, but I am unsure which one to adhere to, especially since my histograms, density plots, and QQ plots leave much to be desired in terms of ...
Kimber's user avatar
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0 answers
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What are differences, or relationships, among "relative probability", "relative frequency", "probability density" and "probability"? [duplicate]

ORIGINAL QUESTION What are the differences, or relationships, among "relative probability", "relative frequency", "probability density" and "probability"? A ...
Ommo's user avatar
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2 votes
1 answer
70 views

Histogram normalisation: a question about the correct terminology

Given a histogram and the following quantities ...
Ommo's user avatar
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0 answers
58 views

Does the number of bins influence the "measures of similarity" among histograms?

I have calculated several "measures of similarity" among histograms and discrete probability distributions (such as Cosine similarity, Kullback-Leibler divergence, Jensen-Shannon distance, ...
Ommo's user avatar
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0 votes
2 answers
50 views

What are some typical questions we can ask about the result of two university exams with a third final one yet to come?

I'm trying to understand the performance of students on an on-going university course. I built a histogram of grades of two exams of the same course. Here's the first exam. It seems to me that ...
user391518's user avatar
6 votes
1 answer
68 views

One or two tailed probability?

A rare bird recently turned up in the UK. The length of the bird's beak was measured (41.9mm). I want to check that the bird is likely to derive from the North American population of the species. To ...
luciano's user avatar
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2 votes
1 answer
76 views

Convergence of histograms

Good morning, I'm interested in the convergence of empirical distribution functions. In particular, let us suppose to have a population with unknown distribution function $ F(x) $ and that I can ...
Lorenzo Eboli's user avatar
0 votes
0 answers
53 views

Does this need to be transformed? If, yes, how?

My data is collecting deposition of particles from the atmosphere once a month for 11 months at two sites. I am testing to see if my two sites' data are normally distributed so I can determine what T-...
NickW's user avatar
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0 answers
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What metrics could I use to compare multiple 2-dimensional histograms/sinograms?

I have a set of two-dimensional shapes, each represented by one or more closed paths, which enclose one continuous area. My objective is to establish a measure of similarity between these shapes. I do ...
Dugnom's user avatar
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2 votes
2 answers
159 views

Analytical form of a Histogram of $1-\cos(X)$, $X\sim U(0, 2\pi)$

If I generate a uniform distribution of $X$ ranging from $0$ to $2\pi$ (so $X\sim U(0, 2\pi)$), then the probability distribution of $1-\cos(X)$ appears to be this function: Is this an analytical ...
Steven Sagona's user avatar
1 vote
0 answers
99 views

How to transform histogram to kernel density?

I have data aggregated as a histogram $$ (m_1, c_1), (m_2, c_2), \dots, (m_k, c_k) $$ where $m_1 < m_2 < \dots < m_k$ are the midpoints of the histogram bins and $c_i$ are the counts that sum ...
Tim's user avatar
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5 votes
1 answer
406 views

What distribution do I get when I square numbers from a normal distribution and add them together?

I have 60 numbers drawn from a normal distribution with mean 0 and standard deviation of 1. 1 realization: I then take the sum of the 60 values. I do this 1000 times and plot a histogram of the ...
user1551817's user avatar
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0 votes
0 answers
69 views

Relative Error and Chi-Squared-Test

I have a histogram A that holds a distribution describing kinematics. Now I want to approximate that distribution by other distributions that were made under simplified assumptions. Then I want to ...
MCSquared's user avatar
1 vote
1 answer
50 views

How are these simulated sample means created/plotted in R?

I had a student point out this image in Learning Statistics with Jamovi that is also in Learning Statistics with R (Page 294 in the latter). I was going to send her a reply when I noticed something in ...
Shawn Hemelstrand's user avatar
0 votes
0 answers
69 views

Skewness and log transformation and meta analysis

I am using 3 papers for a mini meta analysis using data (mean and SD) of both the experimental and control groups. Using the means I have made 2 histograms displaying distribution. Only one of them ...
Izzy's user avatar
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2 votes
0 answers
13 views

How to tell if data can be used as a predictor in a classification or clustering model?

I'm currently studying a data science handbook in preparation for job interviews, and I came across a question that I think should be simple, but honestly has me stumped. Here's a screenshot of the ...
kiring24's user avatar
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0 answers
18 views

How should I interpret the random variables in this histogram?

I'm currently trying to eyeball the type of distribution of this histogram to properly specify the family of distribution to use for a generalised linear model in python. I'm pretty sure it's a gamma ...
ADAMS zequi's user avatar
2 votes
0 answers
53 views

Measuring distance between two continuous distributions using their discrete approximations

I need to compute the distance between two continuous distributions. However, I have no idea as to what kind of distributions they are. I have a discrete approximation of the distributions. That is, ...
Nagabhushan S N's user avatar
0 votes
0 answers
99 views

Compare 2 binned non-parametric histograms with hypothesis test

According to this guy here: https://towardsdatascience.com/how-to-compare-two-distributions-in-practice-8c676904a285 and the following papers he mentions inside his article, and more specifically the ...
just_learning's user avatar
6 votes
2 answers
471 views

Is there a name for a distribution where I can take log of its histogram and get back the same histogram?

I am imagining some data distribution where taking the log over and over again yields a distribution that has the exact same shape.
user369397's user avatar
2 votes
1 answer
28 views

Create statistic to judge moisture distribution 'quality'

I am working with an agricultural dryer that gradually dries grain. During each drying run, many data are taken, including information about the moisture content distribution. The moisture content ...
Wesley Cheek's user avatar
0 votes
1 answer
356 views

Two approaches for Fitting Beta-distribution to Histogram of Survey Response. Which one is better?

We have data from a survey in which participants are asked about the probability that an event takes place. The question is probabilistic and asks the respondents to assign probabilities to pre-...
Aristide Herve's user avatar
2 votes
1 answer
405 views

Is my data normally distributed? (QQ plot and histogram analysis) [duplicate]

I am trying to create a regression model for prediction. I need to generate prediction/confidence intervals for my model. I am trying to decide whether to use a quantile regression or linear ...
Archie's user avatar
  • 205
0 votes
1 answer
218 views

How to analyse a right skewed dataset

I am trying to analyse several heavily right skewed datasets in order to determine their mode. The story behind the sets is that they are calculations of performance data from marketing posts. The ...
bubbaspaarx's user avatar
0 votes
0 answers
30 views

How limited is my dataset?

So I have multiple datasets which are all histograms and cannot be linked. The topic of the data is quite complex so for example imagine I was surveying different qualities between men and women. The ...
sputnik44's user avatar
6 votes
1 answer
893 views

Outlier/anomaly detection on histograms

So, the idea is that I have many histograms, each one representing results for something. So, I have histogram_1 for object_1, histogram_2 for object_2,...,histogram_20 for object_20. How can throw ...
just_learning's user avatar
0 votes
0 answers
138 views

Mean squared error in 2D, divide by pixel area or not?

I am comparing 2D histograms using mean squared error (MSE, mean of the squared differences). These histograms have varying pixel or bin sizes. I want to compare the MSE results across these different ...
Liet Kynes's user avatar
4 votes
2 answers
293 views

Why does my probability plot not agree with my histogram?

I am trying to determine the best distribution to characterize a dataset. My dataset visually looks like Cauchy distribution would be a good fit, so I used python to fit a Cauchy distribution to my ...
Andrew's user avatar
  • 41
0 votes
1 answer
378 views

How to convert units of KDE into physical units

I have a sample of people's heights. If I histogram it, I would usually divide by the bin width, so that my result becomes independent of my bin width, and I would label the axis something like (...
James's user avatar
  • 173
0 votes
0 answers
34 views

Is it any meaningful taking the histogram of many histograms?

So I’m working on pixel-level assessment of chest x-ray images from the NIH Chest X-ray dataset. The diseases labels on the images are a set of z different categories (i.e. Pneumonia, effusion, etc…). ...
Walid Abdelal's user avatar
-1 votes
0 answers
23 views

Find mean value of total N with only relative frequency and mid point histogram [duplicate]

I have the following data of number of vouchers redeemed : How can i calculate the mean value of total vouchers?
mafalda's user avatar
-1 votes
1 answer
157 views

Calculate mean of sample size based on relative frequency in histogram [duplicate]

I have the following data of number of vouchers redeemed : How can i calculate the mean value of total vouchers?
mafalda's user avatar
0 votes
0 answers
147 views

Mean squared error of 2 distributions when there are many zero values

I am comparing two (2-D) distributions using mean squared error. I take the difference between distributions, square them, average them and multiply them by the area of a pixel/bin. These ...
Metioche's user avatar
3 votes
1 answer
1k views

Probability for a bin in a binned histogram

This question is very basic, but I cannot figure the error in my thinking. According to the author of the book "Pattern Recognition and Machine Learning", we can get the Probability ...
kklaw's user avatar
  • 515
0 votes
0 answers
33 views

Estimating the Probability in a statistical analysis

I am carrying out a statistical analysis where I run the simulation (Matlab) 5000 times, to get 5000 results. The objective is to estimate the probability of having a result that is less than or equal ...
Amro Goneim's user avatar
1 vote
2 answers
235 views

Histogram vs Bar Graph [closed]

I have data for number of patients used to collect the data in a hospital for each day. I want to display them as a graphical representation of number of patients used to collect the data for each ...
learner's user avatar
  • 13
1 vote
0 answers
103 views

Empirical distribution for feature binning

In paper "A simple yet effective baseline for non-attributed graph classification" (https://arxiv.org/pdf/1811.03508.pdf) authors use empirical distribution for feature binning. Precisely, ...
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