Free normal distribution curve software

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Windows Windows. Most Popular. New Releases. Desktop Enhancements. Networking Software. Trending from CNET. Developer's Description By Max Buot. BellCurve is an easy to use calculator that finds probabilities in a normal distribution. BellCurve consists on two views. The main view displays the normal curve, with probability of interest shaded in.

Lower and upper bounds can be changed using the slider. The flipside view allows users to specify exactly the expected value mu , the standard deviation sigma , the lower bound green dot and the upper bound red dot. Z scores are also shown. Full Specifications. GeoGebra is a nice Math calculation software to solve geometry, algebra, calculus, etc.

It can be used for 3D graphing too. Probability Calculator , as the title suggests, is a dedicated probability calculator for Windows. Its main interface categorizes probability distributions into two parts:.

It displays the probability distribution curve. In case you want a dedicated software to calculate probability distributions, you can try this software. Binomial Distribution Calculator is a portable probability calculator for Windows. As the name suggests, it is used for calculating binomial distribution. For this, you need to enter number of trials, probability, and successes. It calculates expected value and standard deviation.

You can view calculated data in a table or as a graph. EDPcalc is another free portable probability calculator for Windows.

It basically determines post-test probability on the basis of input pre-test probability and likelihood ratio. As simple as that. Pre-test and post-test probabilities are basically the probabilities of the presence of a condition prior to and post a diagnostic test.

The likelihood ratio is the ratio of how likely a target disorder is expected in a patient to how likely a target disorder is not expected in a patient.

Combinatorics by alex. Permutations and combinations by karam [Solved! Name optional. Factorial Notation 2. Basic Principles of Counting 3. Permutations 4. Combinations 5. Introduction to Probability Theory 6. Conditional Probability 8. Independent and Dependent Events 9. Mutually Exclusive Events Probability Distributions - Concepts