INEXPENSIVE STATISTICAL ANALYSIS SOFTWARE
Welcome To
Dr. Robert C. Knodt's Statistical Analysis Software Page
This is the place to find out about a
GREAT STATISTICAL ANALYSIS SOFTWARE PACKAGE
Latest Update JANUARY 15, 2008
Over 410 Statistical Tests and Routines
Inexpensive Statistical Software Designed for both the Beginner and Experienced Statistical Analysis Student and Researcher.
A completely rewritten version using Visual Basic to give a Graphic User Interface is now available
This latest version contains almost all the routines from the original DOS version. The DOS version will not run under Vista although it runs well under all previous Windows versions including XP. The DOS version can only print through the parallel port of computers and cannot use the USB port. The Visual Basic version runs under Vista and can print using any printer port on the computer
Background of the software:
During over Forty years of teaching I discovered that most students could
gain a firm grasp of statistical analysis but seldom used the tool upon leaving
the university or college.
At the four universities where I taught the software was on the Main Frame:
SAS, SPSS, MiniTab and others. Most students couldn't afford to purchase
these programs and keep them on their Personal Computers.
I developed a program that performs over 400 statistical tests and routines.
The learning curve is practically nonexistant. It runs easily on a PC with limited Ram. It will
run under Windows 95/98/ME/NT/2000 and XP as well under DOS or in a DOS Window.
The best part is its one-time registration fee: Only $22.00 for non-students,
$17.00 for students (less than a dime a test) and a college or university may acquire a site license
costs $62.00. There is a FREE two-month trial available of the DOS version! The manual (supplied
both as an Adobe readable file and a Word readable file) contains quite a bit of information
regarding the tests.
The new Visual Basic version has a one-time registration fee of $35.00 US and the DOS version is included at no extra cost. You can use either or both of the versions.
YOU DO NOT HAVE TO READ THE MANUAL TO RUN THE PROGRAM.
Don't be fooled by the low cost registration fee. It is my intention to place
the software in the hands of those involved with statistics be they teachers,
students or those involved with research or business decision making. I retired from full time teaching some time ago but I recently began teaching on a part time basis at Western Washington University. Being retired but being able to teach part time is the best of both worlds. I have never intended
that I should become rich by selling this product. The reward comes from
knowing that my work is being used around the world.
Since many areas of the world still use older computers I designed the software to run on older 386 and 486 machines (underDOS), as well as on newer machines
running Windows 3.1, Windows95, Windows98, ME and XP. It also runs on
MacIntosh machines with VirtualPC and on HP 100 and HP 200 Palm-Top
Hand-Held Computers.
If you would like to try the routine to determine the correct statistical
test to use
with your data simply
CLICK HERE
Please e-mail me at RCKnodt@aol.com
if you would like a FREE two-month trial of the software. Make sure you include
your complete postal mailing address in the e-mail.
If you would like a listing of the over 400 tests and routines, contact me and
I'll be glad to send you the list as an e-mail attachment.
You can register directly for an unlimited time copy of the software by sending
a check drawn on any US bank, a postal money order or, if you prefer, US Cash by ordinary mail. The one-time registration fee is $22.00 US for individuals, $17.00 US for students.
Please send your registration fee to:
Dr. Robert C. Knodt
1414 37th Street
Bellingham, WA 98229
You can read a report done at Muskingum College involving MODSTAT in a very
unusual experiment. Simply
CLICK HERE- I don't
think anyone would try this with SAS, SPSS, MiniTab or any other statistical
software.
SOME of the tests and routines it performs: (Partial Listing)
Confidence Intervals are calculated with t-values up to 100 df.
If you need a specific test that is not listed, contact me via e-mail.
Descriptive Statistics
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Total, Number of values, Mean, Standard Deviation, Coefficient of Variation
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Kurtosis, Skewness, Bowman, Lilliefors' and D'Agostino's tests for Normality
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Estimated Population Mean
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Confidence Interval of the Population Mean (0.05 and (0.01)
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Estimation and Confidence Interval of the Population Variance
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Chi Square Goodness of Fit for testing Normality (60 or more values in list)
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Standard Error of the Mean
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Estimated Confidence Interval of Population Mean (0.05 and 0.01)
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Maximum, Minimum, 1st Quartile, Median, 3rd Quartile, IQR, Outliers, Grubb's Test
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Mean Absolute Deviation From the Sample Median
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Pearson Coefficient of Skewness
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Trimmed Mean
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Box and Whisker Plot
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Stem and Leaf Plot
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Ordered list of values, 3-Histograms (Frequency Distributions), Empirical Test
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Ability to trim the list including Winsorizing Means routine (3 levels)
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Standardization of Scores (To Any Mean and Standard Deviation)
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Log Transformation
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Test for Symmetry
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Normal Probability Plot
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Mean Square of Successive Differences
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Runs Test for Randomness
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Cox and Stuart's Test for Trend
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Test for Serial Correlation
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Moving Average
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Sign test for Median
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ANOVA
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One-Way Between-groups (t-test) Comparing up to 9 Groups
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Using Raw Data or Using Summary Data
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Comparing up to 8 groups to a Control - DUNNETT'S test
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Calculates Summary Table, F Value and Probability Level
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Calculates Eta, Omega Squared
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Mean, St. Dev., Std. Error and Estimated CI for Each Group
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Shows Box-Plot of Each Group
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Automatically applies follow-up tests:
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Barlett's Test of Homogeneity
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Confidence Interval Estiamte of the Differences Between Groups
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Application of the Bonferroni Correction Factor
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Absolute t-Test Scores Comparing All Groups
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Scheffe's Procedure
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Newman-Keuls' Test
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Duncan's Multiple Range Test
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Fisher's LSD t-test for One-Way Anova, Between-groups
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Tukey's Test
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Two-Way Between-groups
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Regular
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Nested
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Factorial
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Calculates Summary Table, F Value and Probability Level
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Interclass Correlation (When Applicable)
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Omega Squared
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Automatically applies follow up tests:
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Tukey's Test For Unconfounded Means
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Duncan's Multiple Range Test
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Graph of the Levels of the Variables
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Three-Way Between-group
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One-Way Within-groups, Repeated Measures (Correlated t-test)
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Two-Way Within-groups
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Three-Way Within-groups
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Mixed Groups
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Between-Within
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Between-Between-Within
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Between-Within-Within
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Latin Square Design
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Covariance Analysis
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One Independent Variable, One Control Variable
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One Independent Variable, Two Control Variables
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Two Independent Variables
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Correlation and Regression, Dependent Variable Estimation
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Pearson's Linear (Product-Moment), one predictor
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Shows X Y Plot
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r Value, r Square Value, Regression Equation, St. Error of r,
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St.Error of Estimate, St. Error of M, St.Error of B,
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Confidence Interval of r, M, and B
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Summary Chart, F and Probability Level, Mean and St. Dev. each Variable
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Tests variables to determine if significantly different from normal distribution
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Checks against any theoretical population 'r' or Percent Variation
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Inter-class Correlation
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Coefficient of Alienation
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Robinson's A
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Index of Forecasting Efficiency
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Comparing 'r' to a Theoretical 'r'
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Residual Listing, Percent Error and Graph
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Lagged Regression
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Applies Lilliefors' test to Residuals
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Estimates of 'Y' from 'X' - Shows CI for conditional and individual means
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Allows for reverse regression, 'X' on 'Y'
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Identification of Curved Regression
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Multiple Linear, up to 8 Independent (Predictor) variables
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Curvilinear
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Multiple Curvilinear
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Probit
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Polynomial Regression (Up to 13th Power)
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Power Regression
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Log Regression
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Exponential Regression
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Spearman's Rank-Correlation
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Kendall's Rank-Correlation
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Biserial and Point Biserial Correlation
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Partial Correlation
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Multiple Correlation
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Difference between Two Correlations
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Hypothesis Testing
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Comparing a sample Mean to a Population Mean
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Comparing a sample Proportion to a Population Proportion
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Comparing two sample Means, t-Test or Z Test, Cohen's 'd' for Effect Size
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zI test, Poisson, Binomial, 50% Probability
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Difference between two Equated Means
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Comparing a sample Variance to a Population Variance
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Comparing Variances
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Bartlett's Test for Homogeneity of Variances
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Comparing Standardized Scores
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Comparing two groups using Proportions
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Comparing more than two groups using Proportions
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Marascuilo Procedure
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Estimation of a Confidence Interval of a Population Proportion
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Estimation of a Confidence Interval of a Population Mean
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Determination of Sample size (6 types)
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Random number generator for sample size selection
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Decision rules for Acceptance Sampling, OC curve data
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Chi Square Tests
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One-Way, Up to 30 groups, equal, unequal or ratio expected values
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Two-Way, 2 x 2
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Fisher's Exact Probability
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Mantel-Haenszel Test
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Two-Way, a x b (Standardized Residuals)
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Three-Way, 2 x 2 x 2
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Three-Way, a x b x c
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Repeated Measures
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Brandt-Snedecor Test for Comparing Groups
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Poisson Chi-Square Analysis
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All Chi Square tests also apply or show results of other tests such as:
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Cross Tabs
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Correlation Coefficient, Phi, Cramer's, Four-Fold Correlation
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Lambda, Cross-Tabs, Yules', Odds Ratio, Yates, Tetrachloric 'r'
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Nonparametric Tests (Partial Listing)
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Kolmogorov-Smirnov One-Sample Test
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Kolmogorov-Smirnov Two-Sample Test
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One-Sample Runs Tests for Randomness
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McNemar Test for the Significance of Changes
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Sign Test for a Median
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The Sign Test
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Wilcoxon Matched-Pairs, Signed-Ranks test
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Behrens-Fisher Robust Rank-Order Test
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Walsh Test
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Randomization test for Matched Pairs
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Median Test, Extension of the Median Test
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Mann-Whitney U test
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Wald-Wolfowitz Runs Test
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Siegel-Tukey Test of Extreme Reactions
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Cochran Q test
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Friedman Two-Way Analysis of Variance
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Kruskal-Wallis One-Way Analysis of Variance
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Kendall's Partial Rank Correlation Coefficient
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Kendall's Coefficient of Concordance
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Kendall's Coefficient of Agreement
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Rank-Sums Test
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Kappa Statistic
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Gamma Statistic
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Somer's Statistic
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Change Point Test
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Binomial Test
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Behrens-Fisher Robust Rank-Order Test
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Page Test
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Jonckheere Test
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Ridit Analysis, Two groups, Ordered Categories
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Relative Risk Analysis
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Risk Ratio
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Distributions
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Binomial
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Chi Square
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Exponential
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F-Distribution
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Geometric Random Variable
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Hypergeometric
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Multinomial
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Normal
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Poisson
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Student's t-Distribution
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Specialized Routines
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Permutations
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Combinations
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Bayes' Theorem - Three types
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Comparing two counts (Poisson)
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Transformation of file entries or Trimming file entries
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Sorting of List
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Removal of Percentage of Values from Extremes
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Changing Values in a File so that:
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Minimum value is 0
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Minimum value is 1
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Values become Absolute Values
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Changing Values in a File to Their:
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Square Root
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Reciprocal
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Natural Log
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Log Base 10
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Log Base 2
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Probability of no Repetitions in a Sample
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Combining the Means and Standard Deviations of Two or More Groups
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Mean and Standard Deviation of Grouped and Distribution Data
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Mean and Standard Deviation of Stratified Groups
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Standardization of Scores
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Computer Intensive Analysis of One-Way ANOVA Between-Groups
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Computer Intensive Analysis of Pearson's Linear Correlation
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Financial Routines
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Financial Routines (Available only in the DOS version
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Determine The Maximum Mortgage Based On Monthly Payback.
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Produce An Amortization Schedule
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Compare Mortage Alternatives, Vary The Interest, Length and Amount
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Determine The Payback Rate On A Loan With Various Numbers Of Payments Per
Year
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Determine The Interestr Rate Being Paid On A Loan
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Determine the Principal On A Loan
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Calculate The Balloon Payment On A Loan
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Calculate The Remaining Balance On A Loan
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Calculate The Term Of A Loan
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Calculate The Discount And Net Cost Of Commercial Paper
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Future Value Of An Investment
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Future Value Of Regular Deposits (Annuity)
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Future Value Of Regular Deposits
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Regular Withdrawals For An Investment
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Initial Investment Needed For Future Value
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Minimum Investment Needed For Regular Withdrawals
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Nominal Interest Rate On Investments
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Effective Interest Rate On Investments
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Earned Interest Table
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Capital Expenditure Analysis
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Average Growth Rate And Projections For A Business
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Break-Even Analysis
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Comparing The Option To Lease Or Buy Equipment
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Depreciation Programs
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Determine A Depreciation Schedule (Straight Line And Percents)
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Determine The Remaining Balance Of A Loan (Rule of 78's)
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Determine The Depreciation Rate (Percentage) Of An Asset
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Determine The Depreciation Rate (Dollar) Of An Asset
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Determine The Salvage Value Of An Asset
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Index Number Routines
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Total Item Prices At Different Periods
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Individual Item Prices At Different Periods
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Weighted Aggregate Pirce Index Numbers
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Paasche Price Index
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Laspeyres Price Index
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Matrix routines and Equation solving
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Matrix Addition, Subtraction And Scalar Multiplication
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Matrix Multiplication
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Simulataneous Equation Solution
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Quadratic Equation Solution
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Calculation of the Detereminant Of A 3x3 Matrix
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Solution Of Three Linear Equations - Cramer's Rule
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Solution Of Up To Eight Linear Equations
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Solution Of Up To Eight Linear Equations With Complex Coefficients
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Gauss-Seidel Interative Method
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Miscellaneous Routines
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Sytem Reliability
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Prime Factors of Integers
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Greatest Common Denominator
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Angle Conversion And Triangle Solutions
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Sum of Finite Series- Arithmetic and Geometric
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Area Under A Curve
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New Routines
- Association Routines (NEW)
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Hamman's G-Index, Jaccard Coefficient, Bennett's B-Index
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Sensitivity, Quality Index of Sensitivity, Specificity
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Efficiency, Efficiency of a Random Test, Quality Index
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Youden's Index, Predicted Value of a Positive, Negative or Random Test
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False Positive and False Negative Rates
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Prevalence, Likelihood Ratio of a Positive and Negative Test
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Haldane, Byrt's, Dice's and Scott's Index, Observed Agreement
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Test level, Cohen's Kappa, Positive and Negative Agreement
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Odd's Of Outcome Given or Not Given Treatment
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Latest Update 01/15/08
Online short courses in statistics at statistics.com
CLICK HERE