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The TI-36X Pro is an updated version of the European model, the TI-30X Pro MultiView, which was taken off the market shortly after its release in 2010 because of programming errors. [ 1 ] [ 2 ] [ 3 ] While the 30X's bugs were fixed for relaunch as the 36X Pro, the updated version contains a notable software bug of its own, where it displays ...
Texas Instruments is a major manufacturer. The following table compares general and technical information for a selection of common and uncommon Texas Instruments graphing calculators. Many of the calculators in this list have region-specific models that are not individually listed here, such as the TI-84 Plus CE-T, a TI-84 Plus CE designed for ...
The TI-36X Pro is the American and international version of the European model, the TI-30X Pro MultiView. The TI-30X Pro MultiView was released in 2010 and then promptly recalled because of programming errors. It was re-released in 2011. [2] [3] TI-30XA (2013): retained the size and shape of the 1996 model, having buttons rounded on the bottom ...
In probability theory, the probability generating function of a discrete random variable is a power series representation (the generating function) ...
The probability is sometimes written to distinguish it from other functions and measure P to avoid having to define "P is a probability" and () is short for ({: ()}), where is the event space, is a random variable that is a function of (i.e., it depends upon ), and is some outcome of interest within the domain specified by (say, a particular ...
The term law of total probability is sometimes taken to mean the law of alternatives, which is a special case of the law of total probability applying to discrete random variables. [ citation needed ] One author uses the terminology of the "Rule of Average Conditional Probabilities", [ 4 ] while another refers to it as the "continuous law of ...
In probability theory and statistics, the law of the unconscious statistician, or LOTUS, is a theorem which expresses the expected value of a function g(X) of a random variable X in terms of g and the probability distribution of X. The form of the law depends on the type of random variable X in question.
Another form of erfc x for x ≥ 0 is known as Craig's formula, after its discoverer: [27] = (). This expression is valid only for positive values of x , but it can be used in conjunction with erfc x = 2 − erfc(− x ) to obtain erfc( x ) for negative values.
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