Modstat is a statistical software package that does not require any programming on the part of the user. It is completely menu driven and can handle over 300 statistical tests and routines. It also automatically can run and/or suggest follow up tests for further analysis. There is a one-time student registration fee of $17.00 which is well below the costs of other software.
Since many students who take statistics are not going to momor in statistics nor use statistics in their everyday job situation, Modstat makes a good addition to the tools that they can use on an occasional basis, for example checking reports, news and magzine articles, etc. The user doesn't have to refer to a complicated manual, do programming or know special on line commands. It does not have a spreadsheet format and is extremely easy to learn and use. Take a look at: http://come.to/statistical.help or http://members.aol.com/rcknodt/pubpage.htm Modstat does over 300 statistical tests and routines. It even has a routine to help the user select the proper test to use with the data. It will also suggest alternative tests in the event that the conditions of the first test are not met or are in doubt. A free two-month trial is available. Simply e-mail me your name and complete postal mailing address. The one time registration fee, should you decide to continue using the software after the trial period is only $22.00 for individuals and $17.00 for students. Dr. Robert C. Knodt 4949 Samish Way #31 Bellingham, WA 98226 [EMAIL PROTECTED] [EMAIL PROTECTED] "Can you afford not to have Modstat on your PC? Over 300 tests and routines, less than a dime a test." Try this with your software. Do a Pearson linear regression using the following data. This is from Moore's book,Introduction to the Practice of Statistics,1989, page 97. Age Height 18 76.1 19 77.0 20 78.1 21 78.2 22 78.8 23 79.7 24 79.9 25 81.1 26 81.2 27 81.8 28 82.8 29 83.5 Time how long it takes to complete the problem beginning when you first start the statistical software package. Modstat will produce: A plot of the data entries the coefficents of the the best fit line if you want to force the line through the origin The Pearson product-moment correlation (r) The R-square and R-square adjusted vales Indicate the percent of the total vaiation in Y that is explained by X The Intercalss correlation The Coefficient of Alienation Robinson's A The regression equation in the form of Y = mx +b The values of both m and b The standard error of (r) The standard error of the estimate The standard error, t-value and probability of both coefficients The 95% confidence interval for r using Fisher's Transformation The 95% confidence interval for both coefficients The standard error of the estimate at 0.05 and the Coefficient of Variation The Index of Forcasting efficiency The Summary table, F ratio and probability level The Root MSE value The mean and standard deviation of both variables Check to see if the distribution of the variables significantly differs from normal Show the t-value and probability level. Allows the user to compare to some theoretical population Checks the data for curved regression Shows the data entries with estimated Y values and residuals along with the percentage difference of the residuals Calculates the Sum of squares of Residuals Calculates the standard error Shows the mean percent error and standard deviation of the residuals, the Coefficient of variation and the maximum percent error. Performs Lilliefor's test for normalcy of the residuals Allows the user to make estimates of the Y value from a given X value (I used an X value of 27.7 and Modstat calculated the point value of the predicted Y) Modstat reported the estimated point value, the prediction interval for the conditional mean and the prediction interval for the individual mean, both at the 0.05 level. A plot of the residuals was produced. This is possibly more than you might want but it took me 2 minutes and 40 seconds to enter the data and get all these results. All I had to do was enter the data and depress the <Enter> key to move through the results. ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at http://jse.stat.ncsu.edu/ =================================================================
