Your Statistics Journal

StatsJournal is a free resource for anyone who needs basic statistics tools. We believe you shouldn’t have to learn coding or buy expensive software to run simple statistical analysis on your data. Save and share your analysis with your colleagues.

Need something you don’t see here, or found some bugs - email us a request at statisticsjournal@gmail.com

Descriptive Statistics

Analyze data for one variable. We will calculate Mean, Mode, Median, Standard Deviation (both sample and population), Variance, skewness and kurtosis. Additionally, we will calculate the Inter Quartile Range and identify potential outliers in your data. To visualize the data we will show you a box plot, a histogram and a cumulative histogram. Lastly, we will provide 95% and 99% confidence intervals for the mean.

Student’s t Tests for Hypothesis Testing

The t-tests are typically used to determine if the means of two sets of data are significantly different from each other. You can run the following types of tests:

One Sample t Test where you compare a sample mean to a population Mean you already know.

Independent Samples t Test where you compare two separate sets of independent and identically distributed samples.

Paired or Dependent Samples t Test where you compare a sample of matched pairs or a sample with two measurements (e.g before and after)

Linear Regression

Linear regression models the relationship between one dependent variable and one or more independent variables as a linear function.

Simple Linear Regressionlinear regression when there is only one independent (explanatory) variable. We calculate the model, the intercept and coefficient, along with the correlation coefficients (Pearson and Spearman) and the residual error.

Multiple Linear Regression when you have multiple independent (explanatory) variables. Again, we calculate the model, the intercept and coefficients of all the variables, along with the correlation coefficients (Pearson and Spearman) and the residual error.

Data Utilities

To help with wrangling data, a couple of helpful tools.

Pick a Random Sample from a table or from an array.

Randomly Reorder or Shuffle your data.This is useful as a step in mainly data analysis tasks.

ANOVA

ANOVA (or Analysis of Variance) is a statistical test of whether two or more population means are equal. While the t-test does the same for two means, the ANOVA tests are usually used for more than two means.

One Way ANOVA, also called the One Way Analysis of Variance is a test used to compare means of two or more samples, using the F distribution. Typically this is used with one numerical response variable Y, and always one numerical or categorical input variable X. Since there is only one input variable, this is called a one-way ANOVA.

Distributions and Tables

Binomial Calculator - this can be used to calculate the binomial probability & the cumulative probability in a binomial distribution. Binomial probability is the likelihood that a specific number of outcomes will take place when running a fixed number of trials, given three conditions. 1) Each trial can have only two outcomes (success or failure, heads or tails, etc). 2) Each trial is mutually exclusive and independent of the other trials. 3) Each outcome has the same probability in each trial.

Z Score Calculator