Descriptives Statistics
Home
Educational Links
Didactive Presentations
Descriptive Statistics
Inferential Statistics
Crosstabs
Statistical Decision Making
Syllabus and Articles
Descriptive Statistics
Calculators, Plotters, Function Integrators, and Interactive Programming Environments
Descriptive Statistics, Histograms, Charts
- Statiscope -- a beautifully-implemented page for calculating and displaying a large number of descriptive statistics from a set of numbers you enter
- WebStat (an integrated applet) can generate summary statistics, as well as histograms, stem and leaf plots, boxplots, dotplots, parallel coordinate plots, means plots, scatterplots, QQ plots, and time series plots
- Descriptive Sampling Statistics -- Enter up to 80 numbers; this page will calculate the mean, variance, SD, CV, skewness and kurtosis.
- Descriptive statistics (mean, SD, SEM, and CI of mean). Can enter or paste raw data, or enter mean, SD or SEM, and N to get CI.
- Descriptive Statistics -- Enter up to 80 values; page calculates: N, mean, variance, SD, CV, skewness, kurtosis, SEM, median, min, max, range, 1st & 3rd quartiles, interquartile range, quartile deviation, coeff of quartile var, and absolute deviation.
- Measuring for Accuracy-- Given a set of observed and predicted values, this page calculates the SD of errors, mean absolute & relative error, and Durbin-Watson statistic.
- Arithmetic, Geometric, and Harmonic Means -- of up to 80 values.
- Rweb - extensive tabular and graphical descriptive summarization: mean, quartiles, histograms, scatterplot matrices (with smoothers), QQ plots (normal and pairwise), time series, box plots. (When you get to the Rweb page, scroll down to the Analysis Menu and select Summary.)
- The Data Applet provides descriptive statistics, histograms, boxplots, and scatterplots
- A variety of descriptive statistics and a stem and leaf display
- Detect Outliers -- this calculator performs Grubbs' test, also called the ESD method (extreme studentized deviate), to determine whether one of the values in the list you enter is a signficant outlier from the rest. Also contains an excellent discussion of what to do about outliers.
- Combine Subgroups -- calculate the mean and SD of a combination of groups from the N, mean and SD of each group.
- Computes summary statistics for one variable, draws a crude histogram, and sorts a list of values. Given pairs of values, it computes the least squares regression line and Pearson correlation coefficient.
- Basic descriptive statistics (mean, sum of squares, variance, standard deviation, minimum, 25th percentile, median, 75th percentile, and maximum for up to 500 numbers
- Empirical Distribution Function -- from up to 42 sets of [value, frequency].
- Multinomial Distributions -- Enter up to 12 values and their corresponding probabilities, and this page will calculate Expected Value, Variance, Standard Deviation, & Coefficient of Variation
- Paired Data Sets Statistics -- Enter up to 28 sample paired data sets, and this page will calculate means, variances, and covariance
- Histogram -- Enter up to 80 numbers, and this page will display a histogram.
- Histogram from a set of numbers, lets you dynamically alter the interval width and see the effect immediately
- Histogram -- type in or upload a data set or give a URL; submit; returns a colored histogram that you can copy from the page; also does polygons and cumulative
- Determination and Removal of Outliers -- Given a set of numbers, this page iteratively isolates potential outliers for removal.
- Point Pattern Analysis -- used to describe and help analyze point patterns. It consists of 14 different analysis routines for a variety of basic descriptive statistics: nearest neighbor analysis, K-function, space-time Knox, Join-Count statistics, Global Moran%u2019s I and Geary%u2019s c, general Getis-Ord%u2019s G, local K-function, and more.
- Draw a scattergram from {x,y} data
- Draw a 3-dimensional scattergram from {x,y,z} data
- Generate a VRML file to view 3-dimensional (x,y,z) data. To view the resulting files requires a VRML viewer.
- Compute and plot a Kernel Density Estimate from a set of points, using Epanechnikov, triangular, biweight or Gaussian kernels
- Compute Poisson change-point, that is: estimate when, in a long sequence of occurrences, the occurrence rate underwent a sudden change
- Boxplot -- type in or upload a data set, or give a URL; submit; returns a colored boxplot that you can copy from the page
- Parallel Boxplot -- type in or upload a bivariate data set with a continuous variable and a group indicator; submit; returns a colored parallel boxplots that you can copy from the page
- Q-Q Plot -- type in or upload a data set, or give a URL; submit; returns a colored q-q plot that you can copy from the page
- Plot up to 10 x,y data points