|(Parent Dir)||folder|| ||Up to TI-83 BASIC Math Programs|
Given a UNIFORM Random Variable X on an interval [L, R], the Program shows 1. the height H of the probability density function graph, 2. the mean or expected value E(X), 3. the variance and standard deviation, 4. P(X < B), P(X >A), P(A< X < B), and 5. the boundary c for a given probability.
The Program finds the necessary SIZE n of a SAMPLE to produce a confidence interval of CONFIDENCE LEVEL c based on a known standard deviation S and desired maximum error E.
The Program finds 1. The ODDS against, and in favor, of an event E with a known probability of happening, and 2. The PROBABILITY P(E) of, and P(E') not, happening when given the odds against the event or the odds in favor of the event .
The Program finds the 1st, 2nd, and 3rd standard deviation INTERVALS about a known mean and standard deviation. If the data is from a sampling distribution ,where the samples are size n, the standard error of the mean is also found.
The Program finds 1. The HYPERGEOMETRIC probability of getting K 'good' objects when R objects are selected from N objects in which G are 'good', 2. The mean, median, standard deviation, and variance of the HYPERGEOMETRIC DISTRIBUTION, 3. The graph of the distribution, and 4. P(X = A), P(X <= A), P(X >= A ), P(A <= X <= B). In the LISTS is the complete distribution.
The Program makes a Histogram from a list of measurements in L1. It suggests the number of bars, or classes, K for your data, but you can override this. Also, the width range is given corresponding to your choice of K. You enter width W from the range. A whole number width is best, if possible. You will see the boundaries of each bar, the frequency and relative frequency of each class in L2, L3, L4 and L5.
The program makes a Frequency Distribution from given raw data entered into L1. After the program runs, the unique data is then displayed in L1 with frequencies in L2 and relative frequencies in L3. The original data is moved to L5 and sorted in L6.
Given the probability of success p, the Program 1. Graphs a GEOMETRIC DISTRIBUTION, 2. Gives its mean, standard deviation, and variance, and 3. Finds P(X = A), P(X <= A), P(X >= A), P(A <= X <= B).
For an EXPONENTIAL Random Variable X with average a on the interval 0 to infinity, the Program gives the 1. expected value or mean E(X), 2. variance VAR(X), 3. standard deviation, 4. median, 5. P(X < A), P(X > A), P(A < X < B), and 6. graph of the distribution showing the probability.
This Program replaces the need for the z-table and t-table. It finds the critical value CV for a given 1. center area c, 2. right tail area A’, 3. left tail area A’, or 4. two tail area A’’. It also shows the graph of the area.
The Program computes z and t CONFIDENCE INTERVALS for the mean of a population showing 80%, 90%, 95%, 98%, 99%, and 99.9% confidence along with the MARGIN OF ERROR for each interval. The intervals are also shown on a graph so you can see the difference the confidence level makes.
The Program displays a CONTROL CHART showing control lines at M + 3S, M + 2S, M + S, M, M – S, M – 2S, and M – 3S that are based on an expected mean M and standard deviation S.
The Program does a CHI-SQUARE TEST of INDEPENDENCE given a contingency table of values. It displays the Expected Values, Chi-Square, the p-value, the degrees of freedom, and states dependent or independent based on your level of significance alpha. Also, it fines the p-value for given df and critical value.
The Program uses CHEBYSHEV’S RULE to show 1. The least PERCENT of data that are within K standard deviations of the mean for K > 1, and 2. The INTERVAL containing at least P percent of the data.
Given a Probability Distribution, The Program finds: the mean, median, standard deviation, variance, and graph. Also found is P(X <= A), P(X >= A), and P(A <= X <= B).
The Program finds the TRIMMED MEAN of a list of measurements. Enter the data in L1, start the program, and enter the percent of trim. Next you see the mean and count n of the original data and also the mean and count n of the trimmed data.
The Program replaces the need for a random number table. It makes a list of just the RANDOM NUMBERS you need. You enter how many numbers you need and from what range they are to be selected. You may select without replacement or with replacement.
The Program finds the number of PERMUTATIONS and COMBINATIONS of n objects taken r at a time. Also given is n! For n < 70.
This LINEAR REGRESSION Program displays the scatter plot, then the line of best fit, then its equation along with r and r2. In the LISTS you will see each actual y, the predicted y, the error and relative error of each y.
Start by selecting the type of curve you have: 1: Z (the standard normal curve) 2: X (a general normal curve) 3: X-bar (a sampling distribution ) FIND 1: PROBABILITY or 1: the area to the left of a known boundary R 2: the area to the right of a known boundary L 3: the area between two known boundaries L and R You may select to view the graph. FIND 2: BOUNDARY of 1: a known LEFT AREA 2: a known RIGHT AREA 3: a known CENTRAL AREA The result is given as the z-score of the boundary, and actual boundary. The graph automatically displays.
The Program gives you all you need to know about a Binomial Distribution, that is: the mean, median, standard deviation, variance, and graph. For X successes, you also get P(X = A), P(X <= A), P(X >= A), and P(A < =X <= B). In the LISTS is displayed the probability of X successes from 0 to n.
Enter a frequency distribution in the LISTS. The Program displays: mean, median, standard deviation, variance, relative frequencies, and graph.
The Program describes a list of measurements, sample or population, giving the count, the sum, mean, median, standard deviation, variance, range, mode, the box plot and the z-score of each measurement.
The Program shows the steps used to hand compute the STANDARD DEVIATION of a sample entered in L1. This includes the deviations from the mean in L2 and the deviations squared in L3. Given are the sum of L1 and the sum of L3. Then you will see the parts used to find the VARIATION and the standard deviation.
Where is the data? The Program tells you how many and what percent of your data are within K standard deviations of the mean. It computes the mean, standard deviation, and shows the data that are within K standard deviations of the mean.
The Program finds five values: The “z-score” of an x or x-bar of a sampling distribution, the “t-value” of an x-bar, the “x value” of a known z-score, the “standard error of the mean”, and the “coefficient of variation”.
Given a POISSON Random Variable X with mean or average a, the Program shows 1. the standard deviation and variance, 2. the histogram of the distribution, 3. the probability of 0,1,2,3, … occurrences, and 4. P(X = A), P(X < A), P(X > A), P(A < X < B).
The Program makes a Histogram from a list of measurements. It suggests the number of bars, or classes, K for your data, but you can override this. Also, the width range is given corresponding to your choice of K. You enter width W from the range. A whole number width is best, if possible. You will see the boundaries of each bar, the frequency and relative frequency of each class.
|stdevfrq.zip||1k||12-02-12||StDevFrq [Text only]|
StDevFrq Standard Deviation w Frequency List Frequency list is a sorted list of numbers together with their frequency (number of occurances in a given list) The program takes as input either a list (list) of values with frequency list or summary statistics (data) values (n = sample size, sumX = sum of items, sumXsquared - sum of items squared) and outputs the values (mean, variance and standard deviation). The program listing at: http://freetutorials.name/Reference1/StDevFrq.html has line numbers and comments plus screenshots, reference, examples and answers.
|stdevfrm.zip||1k||12-02-12||StDevFrm [Text only]|
Standard Deviation Formula Contains Standard deviation program plus formula. Details including screenshots and program listing at: http://freetutorials.name/Reference1/StDevFrm.html
PUT YOUR PENCILS DOWN! With this collection of 18 programs you may not need a pencil (except to write down results) in your INTRODUCTORY STATISTICS class.
The program graphs the scatter plot and shows the best fit for regression types: linear, quadratic, cubic, quartic, ln, exp, and power. The equation of best fit type is given and a prediction can be made.
This Program will display facts about GROUPED DATA: midpoints, relative frequency, mean, median, standard deviation, variance, and graph. First enter the width boundaries in L1 and L2 the frequencies in L3. Start the Program to display facts about the distribution.
The Program computes the result of Bayes’ Theorem and gives P(A|B), that is, the probability of A given B. You enter P(A), P(B|A), and P(B|A’).
Calculates an interval of numbers that can result from a operation of (a) non exact number(s) or function. Operations: Addition, subtraccion, multiplication, division. Functions: x^2, x^4, sine and cosine.
|ajuste_linear_simples.zip||23k||08-04-14||Ajuste Linear Simples|
It calculates simple the linear smoothing (probabilities)
|cnvrterg83.zip||1k||05-11-19||Convert Exponential Regression|
This nifty little program performs an exponential regression, then converts the calc's "y=ab^x" into "y=ae^(bx)". Useful if your Precalculus/Calculus textbooks require answers in the latter form.
Multidimensional scaling (MDS)is used to display high-dimensional statistical data on a two-dimensional screen. Different techniques are used for different types of data. This package includes correspondence analysis, principal components analysis, biplot axes, classical scaling, unfolding and Procrustes analysis. A user's guide is included. knowledge of programming isn't required.
|invx2.zip||1k||04-10-07||Inverse Cumulative Chi-Square|
Inverse cumulative chi-squared distribution. Both left and right critical points are computed.
|invf.zip||1k||04-10-07||Inverse Cumulative F|
Inverse cumulative F distribution. Both left and right critical points are computed.
Transforms data to ranks, in order to compute nonparametric statistics from the TI-83's built-in normal theory stats. (see Conover & Iman, 1981)
Nonparametric bootstrap confidence intervals for some bivariate statistics. Allows user-specified plug-ins.
|boot.zip||1k||04-10-07||Bootstrap Confidence Intervals|
Nonparametric bootstrap confidence intervals for various statistics. Calculates the BCA bias correction.
|kolsmir.zip||1k||04-10-07||Kolmogorov Smirnov Test|
The Kolmogorov-Smirnov test for statistical goodness-of-fit to continuous distributions.
|anddar.zip||1k||04-10-07||Anderson Darling Test|
Anderson-Darling test for statistical goodness-of-fit. It is preferred over the Kolmogorov-Smirnov test by many statisticians.
This is a probibality program capabile of rolling dice, flipping coins and saving the progress. If you like this, please see my other programs, Invert and ClockPak.
programs for statistics
This is a very useful program, made for the 73, 82, 83, and 83+/SE. The program tells and solve for most of the formulas covered in an AP Statistics class. In each formula, practically any variable can be solved for in the 83(+/SE) versions.
Enter data into two lists and it will give you the correlation coefficient.
Enter a list or two of data and it will give you: mean of x values, sum of x values, sum of x^2 values, sample standard deviation of x, population standard deviation of x, number of data, mean of y values, sum of y values, sum of y^2 values, sample standard deviation of y, population standard deviation of y, sum of x*y, miniimum of x values, maximum of x values, minimum of y values, maximum of y values, 1st quartile, median, and 3rd quartile.
MEAN is a program that processes arithmetic and hypergeometric sequences, giving means, series and graphs. This version has a few bugfixes and runs a bit smoother.
Calculates the points of a function by the method interpolation.
This is a dice program. It has a single roll display, where it will show the dice. It also has a many roll option where it will roll a set of 6 sided dice as many times as you want and it will then tell you how many times each possible sum occured, and it will tell you the persentage of times each sum appeared.
Solutions to 6 common types of problems in discrete probability, plus some formulas
Partitions of a number, including special kinds of partitions such as partitions into M parts, partitions where each part is at least 2, and partitions that include the number X
SAMPLE is a program that gives a sample percentage of how often results will occur given set ranges.
RELFREQ is a statistics program used to find the relative frequency of a range of random numbers.
This program will let you either flip a coin or roll dice on your calculator. Sorry, no graphics.
This program would find the mean, median, mode(s), variance, standard deviation for a set of data, and construct a frequency table for you.
|stats.zip||6k||01-06-13||Statistics Master v1.20|
This comprehensive program embodies a lot of the principles of statistics. Topics include distribution, regression, probability, and inference. It covers almost every topic that is included in the curriculum for the AP Statistics test.
|distribution.zip||1k||01-05-31||Distribution Calculator v1.2|
Program to calculate the theoretical distribution for a sample size and a known proportion.
Finds the total subsets of a set when you supply the number of units in the set
The name says it all.
|interp3d.zip||1k||01-02-23||3Dimensional Interpolation (Basic)|
Basic 3Dimensional interpolation. Given 4 points, in a square.
|interpx2.zip||1k||01-02-23||3Dimensional Interpolation (2 Points)|
Given 2 points with (x,y,z) coordinates. You only need x to find y and z.
|interpx3.zip||1k||01-02-23||3Dimensional Interpolation (Advanced)|
Does 3Dimensional Interpolation, but your 4 points do not have to be in a square.
Finds the sum of all terms between a and b.
Calculates Poisson Probabilities, input Lambda, X, and the number of probabilities,(for problems like; P(X<4), POISSON spits out the individual probabilitys, the total probability(<> problems) and 1-(total probability) Very simple program which cuts 3 minutes off your problem calculations. Edit it, iron out any problems, but please leave my original credit in it.
|means.zip||1k||00-07-14||Means Formulas v1.10|
This program deals with the arithmetic mean, the geometric mean, and the harmonic mean.
|plotwizard.zip||1k||00-07-13||The Plot Wizard v1.0|
Use the Plot Wizard to easily create stat plots on the TI-83. No hassle here. The Plot Wizard it also found in Graph-It 2000 and any subsequent versions.
|randrol2.zip||1k||00-06-23||Random Roller 2 v1.0|
Another Dice Program that you can use to roll any number sided die and any number of dice.
Averages any number of numbers that you give it.
|chisquared.zip||1k||00-05-24||Univariate Chi-squared Test|
For some strange reason, only the bivariate chi-squared test is included with the 83. With this program, you can perform a univariate test. This program is based on a subprogram of the Statistics Toolkit.
A Dice program that randomly rolls for several different sided dice and multiples of dice.
|stattk.zip||9k||00-04-19||Statistics Toolkit v4.0|
collection of useful statistics programs
|inverset.zip||1k||00-03-03||Inverse of T|
Finds upper and lower critical values for a t-test.
|proberor.zip||1k||00-03-03||Probability of Error|
Calculates and displays probabilities of type I error, type II error, and the power of a z-test
|dice.zip||1k||00-02-08||Probability of Tossing two Dice|
Using the 36-pair sample space for tossing a red die (A) and a green die (B) to find the probabilities of (A or B) and (A and B).
Calculates LCM of a list.
|zzrank.zip||1k||99-11-11||Average Blocks in Ranks.|
Z-value from normal distribution.
Critical Value for the chi-squared distribution.
Critical value for Student's t distribution.
Compare graph of t distribution and standard normal.
Area under Students t distribution.
|srtest.zip||1k||99-11-11||Wilcoxon's Signed-Rank Test|
|srcorr.zip||1k||99-11-11||Spearman Rank Correlation Coefficient|
|rval.zip||1k||99-11-11||Correlation Coefficent Critical Value.|
Wilcoxon Rank-Sum (Mann-Whitney U) Test.
Right tail area for Pearson-Moment Corr.
|mlreg.zip||1k||99-11-11||Multiple Linear Regression|
Confidence intervals for least squares line.
|linuni.zip||1k||99-11-11||Best Line Based on L Infinity Norm|
|linl1.zip||1k||99-11-11||Best Line Based on L1 Norm|
Gamma Function (not used as subroutine).
|fval.zip||1k||99-11-10||Critical Value For F|
Critical value for F distribution
|farea.zip||1k||99-11-10||Tail Area Under F|
Tail area under F distribution
|buffon.zip||1k||99-11-10||Buffon's Needle Problem|
Buffon's needle problem demonstration.
|anova2rb.zip||1k||99-11-10||2-Factor ANOVA: Randomized Block Design|
|anova2fd.zip||1k||99-11-10||2-Factor ANOVA: Factorial Design|
|reginf.zip||1k||99-04-20||NEX Statistics - Inference for Regression|
Statistics program working with inference for regression.
|lagrange.zip||1k||99-02-25||Lagrange Interpolation Formula|
Polynomial through given points
|lagrang2.zip||1k||99-02-25||Finds Polynomial Through Points|
Faster than Lagrange program
|leastsqr.zip||3k||98-11-29||Least Squares Demo|
Demonstrates Liniar Regression process