Statistical Tables for Palm

About Statistical Tables for Palm

TheStatistical Tables consist of the 11 statistical distributiontables in this tools. You needn't take the thick statistics book anymore if youhave this tool in your device. You can try various variables or parametersto compare the different conditions, which other programs do not allow you thisflexibility. This is the powerful tools for students and statistics relatedperson. The following distribution tables are in this tools now.Normal Distribution. The normaldistribution (the "bell-shaped curve" which is symmetrical about the mean) is atheoretical function commonly used in inferential statistics as an approximationto sampling distributions. In general, the normal distribution provides a goodmodel for a random variable.t Distribution. The tdistribution is symmetric about zero, and its general shape is similar to thatof the standard normal distribution. It is most commonly used in testinghypothesis about the mean of a particular population.F Distribution. Fdistribution is most commonly used in tests of variance (e.g.,ANOVA). The ratioof two chi-squares divided by their respective degrees of freedom is said tofollow an F distribution. The F distribution has the probabilitydensity function.Chi-square Distribution. Thechi-square distribution is most frequently used in the modeling of randomvariables in statistical applications. The sum of nindependent squared random variables, each distributed following thestandard normal distribution, is distributed as Chi-square with n degrees of freedom.Binomial Distribution. Thebinomial distribution is useful for describing distributions of binomial events,such as the number of males and females in a random sample of companies, or thenumber of defective components in samples of 20 units taken from a productionprocess. Negative-Binomial Distribution. The negative binomial distribution is used when the number of successesis fixed and we're interested in the number of failures before reaching thefixed number of successes.Poisson Distribution. ThePoisson distribution is also sometimes referred to as the distribution of rareevents. Examples of Poisson distributed variables are number of accidents perperson, number of???? sweepstakes won per person, or the number ofcatastrophic defects found in a production process.Exponential Distribution. Theexponential distribution is frequently used to model the time interval betweensuccessive random events. Examples of variables distributed in this manner wouldbe the gap length between cars crossing an intersection, life-times ofelectronic devices, or arrivals of customers at the check-out counter in agrocery store. Gamma Distribution. The gammadistribution is????probability density function of the exponential distribution has a mode of zero.In many instances, it is known a priori that the mode of the distribution of aparticular random variable of interest is not equal to zero. Geometric Distribution. Ifindependent Bernoulli trials are made until a "success" occurs, then the totalnumber of trials required is a geometric random variable.Hypergeometric Distribution.Thehypergeometric distribution arises when a random selec