Descriptive Statistics and Chart Makers
Start every analysis by describing your data. These calculators summarize variables, check whether they are normally distributed, and convert test statistics into probabilities, so you can choose the right test and report it correctly.
Descriptive Statistics Calculator
Mean, median, mode, SD, quartiles, skewness and kurtosis, frequency tables, plus pie charts, bar charts, histograms and box plots.
Replaces SPSS DescriptivesPie Chart Maker and Frequency Table
Make a pie, doughnut or bar chart with a frequency table from raw responses or from a table of counts.
Box Plot Maker (Box and Whisker Plot)
Box-and-whisker plots for one or more variables or by group, with the five-number summary and outliers.
Histogram Maker
Histogram with a normal curve, adjustable bins and a grouped frequency distribution table.
Scatter Plot Maker
Scatter plot with a trend line, groups in colour, the regression equation and the correlation coefficient.
Bar Graph with Error Bars
Bar chart of group means with standard deviation, standard error or 95% confidence interval error bars.
Shapiro-Wilk Normality Test Calculator
Shapiro-Wilk and Kolmogorov-Smirnov (Lilliefors) tests with a Q-Q plot and histogram.
Replaces SPSS ExploreConfidence Interval Calculator
Confidence intervals and margin of error for a mean or a proportion from summary numbers.
Z-Score Calculator
Convert a value to a z-score and find percentiles and areas under the normal curve.
P-Value Calculator
Exact p-values from z, t, F, chi-square or r statistics, one- or two-tailed.
Descriptive Statistics Calculator
Use descriptive statistics to summarise each variable before any inferential test, and to describe your sample in the participants section. Report the mean and standard deviation for roughly symmetric variables, the median and IQR for skewed ones, and counts with percentages for categorical variables.
Pie Chart Maker and Frequency Table
Use a pie chart to show how a whole divides into a few categories (ideally six or fewer). Use a bar chart when there are many categories or you want to compare them precisely.
Box Plot Maker (Box and Whisker Plot)
Use box plots to compare the centre, spread and skew of several groups or variables at a glance, and to spot outliers before running tests.
Histogram Maker
Use a histogram to see the shape of a continuous variable: its centre, spread, skew and any gaps or outliers. Try a few bin counts, because the shape can change with the bin width.
Scatter Plot Maker
Use a scatter plot to check the form, direction and strength of a relationship between two numeric variables before computing a correlation or regression.
Bar Graph with Error Bars
Use a bar graph with error bars to present group means in a report or poster. State which error bar you used, because SD, SE and CI bars mean different things.
Shapiro-Wilk Normality Test Calculator
Run a normality test on the dependent variable (or on residuals) before a t-test, ANOVA or Pearson correlation. Shapiro-Wilk is the most powerful test for samples up to a few thousand.
Confidence Interval Calculator
Use a confidence interval to show the precision of an estimate. The margin of error is half the width of the interval.
Z-Score Calculator
Use z-scores to compare values measured on different scales or to locate a score within a normal distribution.
P-Value Calculator
Use this when you have a test statistic and degrees of freedom but no p-value. F and chi-square tests are always right-tailed.
Other categories
Data cleaning and preparation · Compare means · Nonparametric tests · Correlation and regression · Bayesian statistics · Categorical data · Reliability and agreement · Multivariate analysis · Structural equation modeling · Econometrics and time series · Panel data and causal inference · Marketing and decision research · Survival, clinical and meta-analysis · Study planning and calculators · PLS-SEM