# Estadisticas Descriptivas

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El Tiempo

### 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, 1
^{st}& 3^{rd}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, 25
^{th}percentile, median, 75^{th}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