* " If You Win, You Lose " ( added to 2006 production ) – Sid, and Babe

Win or lose, 200 points was added to the player's weekly total for each question answered correctly.

After the fight Silva said, " Win or lose I like to give the emotion for my fans " He also added that he gave his best and promised that next time he will deliver a win.

Author Jeff Rovin in the book How to Win at Game Boy Games described the title as " one of the oldest kinds of Nintendo games ", comparing it to SNK's Alpha Mission but added there were too few instances of innovation or surprises, and the powerups were " unsatisfying ".

* Win – loss record ( pitching ), the number of wins and losses a baseball pitcher has accumulated

* Win Noyes, baseball player

* Win Mercer, born in Chester, major league baseball player

simple: Win ( baseball )

Win shares has recently been applied sabermetrically to basketball players as well as baseball players.

* Win Shares, a baseball statistic

Watson writes about his experience with prostate cancer in his 1997 book Survive To Win and speaks regularly at cancer awareness conferences and with players and staff in Major League baseball.

When more electrons are added to a single atom, the additional electrons tend to more evenly fill in a volume of space around the nucleus so that the resulting collection ( sometimes termed the atom ’ s “ electron cloud ” ) tends toward a generally spherical zone of probability describing where the atom ’ s electrons will be found.

However, consider the short but never halting algorithm which systematically lists and runs all possible programs ; whenever one of them halts its probability gets added to the output ( initialized by zero ).

All these contributions are then added together, and the magnitude of the final result is squared, to get the probability distribution for the position of a particle:

Suppose that the distribution consists of a number of discrete probability masses p < sub > k </ sub >( θ ) and a density f ( x | θ ), where the sum of all the ps added to the integral of f is always one.

The code begins ( the implied probability distribution for the code is added for clarity ):

The probability of flipping a head and the probability of flipping a tail can be added to yield a probability of 1: 1 / 2 + 1 / 2

The more elements that are added to the set, the larger the probability of false positives.

Seven miniature portraits in the Manuscript of the Gallic War in the Bibliothèque Nationale ( 13, 429 ) are attributed to Janet with very strong probability, and to these may be added an eighth in the collection of J. Pierpont Morgan, and representing Charles I de Cossé, Maréchal de Brissac, identical in its characteristics with the seven already known.

The preferential attachment process is an urn process in which balls are added to a growing number of urns, each ball being allocated to an urn with probability linear in the number the urn already contains.

Each duplicate component added to the system decreases the probability of system failure according to the formula:

This applies regardless of the details of the probability distribution, as long as θ and the direction of the added vector are independent and uniformly distributed and the length of the added vector has a continuous distribution.

A pseudocount is an amount ( not generally an integer, despite its name ) added to the number of observed cases in order to change the expected probability in a model of those data, when not known to be zero.

In 2006, Professor Steven J. Miller provided a statistical derivation of the formula under some assumptions about baseball games: if runs for each team follow a Weibull distribution and the runs scored and allowed per game are statistically independent, then the formula gives the probability of winning.

Because baseball shoes are spiked on the bottom, sliding with the spikes up increases the probability of injury to the defensive player covering the base.

Statistical hypothesis tests answer the question Assuming that the null hypothesis is true, what is the probability of observing a value for the test statistic that is at least as extreme as the value that was actually observed ?.

When the logarithm of the likelihood ratio is used, the statistic is known as a log-likelihood ratio statistic, and the probability distribution of this test statistic, assuming that the null model is true, can be approximated using Wilks ' theorem.

Whether it fits significantly better and should thus be preferred is determined by deriving the probability or p-value of the difference D. Where the null hypothesis represents a special case of the alternative hypothesis, the probability distribution of the test statistic is approximately a chi-squared distribution with degrees of freedom equal to df2 − df1.

The probability of the order statistic falling in the interval is equal to

In essence, it is a condition which ensures that the parameters of the probability distribution representing the model can all be estimated on the basis of the statistic: it ensures that the distributions corresponding to different values of the parameters are distinct.

The procedure works by assessing whether the observed departure measured by the test statistic is larger than a value defined so that the probability of occurrence of a more extreme value is small under the null hypothesis ( usually in less than either 5 % or 1 % of similar data-sets in which the null hypothesis does hold ).

For the test of independence, also known as the test of homogeneity, a chi-squared probability of less than or equal to 0. 05 ( or the chi-squared statistic being at or larger than the 0. 05 critical point ) is commonly interpreted by applied workers as justification for rejecting the null hypothesis that the row variable is independent of the column variable.

If the null hypothesis is true ( i. e., men and women are chosen with equal probability in the sample ), the test statistic will be drawn from a chi-squared distribution with one degree of freedom.

In cases where the expected value, E, is found to be small ( indicating either a small underlying population probability, or a small number of observations ), the normal approximation of the multinomial distribution can fail, and in such cases it is found to be more appropriate to use the G-test, a likelihood ratio-based test statistic.

The chi-squared distribution is then integrated on the right of the statistic value to obtain the P-value, which is equal to the probability of getting a statistic equal or bigger than the observed one, assuming the null hypothesis.

Using the chi-squared distribution to interpret Pearson's chi-squared statistic requires one to assume that the discrete probability of observed binomial frequencies in the table can be approximated by the continuous chi-squared distribution.

In statistics, a sampling distribution or finite-sample distribution is the probability distribution of a given statistic based on a random sample.

More specifically, they allow analytical considerations to be based on the sampling distribution of a statistic, rather than on the joint probability distribution of all the individual sample values.

In statistical hypothesis testing, the p-value is the probability of obtaining a test statistic at least as extreme as the one that was actually observed, assuming that the null hypothesis is true.

The vertical coordinate is probability if the statistic is discrete and in that case we should see a probability histogram rather than a curve.

In statistics, an ancillary statistic is a statistic whose sampling distribution does not depend on the parameters of the underlying population's probability distribution.

The test statistic is compared with a threshold value, which is determined based on the requirement probability of false alarm ( Pfa ).

The test statistic is compared with a threshold value, which is determined based on the requirements for the probability of false alarm ( Pfa ) and the expected measurement noise.