Sample Size

Sampsize computes sample size and power for surveys, comparative studies including non-inferiority trials and case-control studies.

Cluster Sample Size Example This program is set up to determine the standard error of the density given three choices for n (e.g. the number of transects: n1, n2, n3), a range of the number of bins per transect and the assumed cluster variance. See the section on cluster sampling for more...

this function converts data from its original space to LDA spacedata is consist of M rows(sample size), N cols(dimensions)class is consist of M rows(sample size), 1 cols , each element of class is shows class number of each data sample(class number must be integer 1 to n)n is the number of...


Platforms: Matlab

Sample size required in tests concerning the variance, employing the Chi-square distribution and solved by iterative fashion (directed trial and error). This means that we enter an initial value for n in order to obtain a better estimate. It only needs the sample variance, expected (hypothesized)...


Platforms: Matlab

Estimates the sample size needed for a specified coefficient alpha, given the Type I error rate and effect size.


Platforms: Mac

Command language audit software - used for audits: * audit identification of duplicates, gaps, audit for outliers, population summaries, data classification and stratification, univariate statistics, audit sample size computations, percentiles/quartiles, Federal holiday dates, histograms and...


Platforms: Windows

Shapiro-Wilk parametric hypothesis test of composite normality, for sample size 3


Platforms: Matlab

In statistics, sequential analysis or sequential hypothesis testing is statistical analysis where the sample size is not fixed in advance. Instead data is evaluated as it is collected, and further sampling is stopped in accordance with a pre-defined stopping rule as soon as significant results...


Platforms: Matlab

The main function, TPOWER, will compute the power of a t-test given an effect size (d), sample size (N), and alpha. By giving N as an array the program can be used to plan sample size for an experiment. By setting the "PLOT" parameter to 1 the function calls plotpowfun, which plots the array N...


Platforms: Matlab

Sample size required to achieve a specified test for difference between two variances, using the normal approximation. This estimate assumes equal or unequal sample sizes. File only needs the sample size vector, variance vector, hypothesis direction, desired sample size (equal or unequal), sizes...


Platforms: Matlab

Statistical software for fast and easy interpretation of experimental data in science and R&D in a technical environment. This statistical package helps with analysis and prevents making false assumptions. In short it makes statistics faster and easier, suitable for less experience users but...


Platforms: Windows, Windows 8, Windows 7, Windows Server

This programme will compute effect size estimates for use in Meta-analyses. It will compute the Cohen's d effect size estimate, apply Hodges Adjustment for sample size (to Cohen's d) and also provide Hodges g effect size estimate. It will also provide 95% confidence intervals for the derived...


Platforms: Windows

These are some of the SigmaXL features: Data Manipulation: ' Subset by Category, Number, Date or Random ' Stack Subgroups Across Rows ' Random Number Generator Templates & Calculators: ' DMAIC & DFSS Templates ' Lean Templates ' Probability Distribution Calculators ' MSA Templates ' Process...


Platforms: Windows

Besides the power estimation it makes the hypothesis testing concerning the one-sample variance. The function only needs the sample variance, the sample size, the hypothesized value and the significance level.


Platforms: Matlab

Statistics::SPC is a Perl module with calculations for Stastical Process Control (SPC). Creates thresholds based on the variability of all data, # of samples not meeting spec, and variablity within sample sets, all from training data. Note: this is only accurate for data which is normally...


Platforms: *nix

SoundLib helps you manage your growing sample and sound library. If you are tired of searching through stacks of CD ROMs, floppies, and DAT tapes, SoundLib is for you. Enter basic or detailed information, use the finding and grouping functions to quickly find your sounds, mass import entire...


Platforms: Mac

The Anderson-Darling test (Anderson and Darling, 1952) is used to test if a sample of data comes from a specific distribution. It is a modification of the Kolmogorov-Smirnov (K-S) test and gives more weight to the tails than the K-S test. The K-S test is distribution free in the sense that the...


Platforms: Matlab

Analysis of Means (ANOM) is a statistical procedure for troubleshooting industrial processes and analyzing the results of experimental designs with factors at fixed levels. ANOM is an alternative to ANOVA for a fixed effects model. Unlike ANOVA only determines if there is a significant difference...


Platforms: Matlab

According to Wludyka and Nelson (1997), the Analysis of Means (ANOM), which is a test of location, can be converted into a test of scale and used to test the homogeneity of variances test, when the normality assumption is reasonable.The analysis of means for variances (ANOMV) is used for testing...


Platforms: Matlab

Anderson and Darling (1952, 1954) introduced a goodness-of-fit statistic to test the hypothesis that a random sample comes from a continuous population with a specified distribution function. It is a modification of the Kolmogorov-Smirnov (K-S) test and gives more weight to the tails than the K-S...


Platforms: Matlab