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Virology is a growing field and with a lot of viral diseases still without cure, the need for virologists is stable (maybe even growing). However, the likelyhood of someone wo…rking as a virologist, depends on their enthusiasm and their qualifications too. (MORE)

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In Probability

The likelihood of an event occurring is known as the probability of occurrence. This can be calculated based on previous patterns and other factors.

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In Psychology

The likelihood of an occurrence is called its probability. Other terms associated with probability are chance, risk, and possibility.

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In Wolves

It depends where you live, a wolf is usually a shy animal when it's alone and not hungry, but people have been eaten before so its less likely to be eaten by wolves, but im no…t TOTALLY sure so please recheck this answer (MORE)

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In Pregnancy

Her period ending the day before makes it more risky but wiping it off should not lead to pregnancy and especially since it was pre-ejaculation ( the correct word if you don't… want to write with pre-***) is a smaller amount of semen and contains a smaller amount of sperm. Another thing: if I ejaculated the day before along with a three (long) urinations between our moments together, does that decrease the chance? She also urinated about 10 minutes later. Does that also make this chance reduced? Urination plays no part in chances of getting pregnant or not. (MORE)

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Cyclone Tracy itself will never recur. Cyclones cannot regenerate decades after they have dissipated. There is, however, a very high chance that a cyclone of Tracy's magnit…ude could form in the Arafura Sea and hit Darwin once more. There is far less chance that it would cause the damage that Tracy did, as Darwin was rebuilt to a stronger standard, with its buildings more cyclone-proof. (MORE)

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In Statistics

Full information maximum likelihood is almost universallyabbreviated FIML, and it is often pronounced like "fimmle" if"fimmle" was an English word. FIML is often the ideal too…l to usewhen your data contains missing values because FIML uses the rawdata as input and hence can use all the available information inthe data. This is opposed to other methods which use the observedcovariance matrix which necessarily contains less information thanthe raw data. An observed covariance matrix contains lessinformation than the raw data because one data set will alwaysproduce the same observed covariance matrix, but one covariancematrix could be generated by many different raw data sets.Mathematically, the mapping from a data set to a covariance matrixis not one-to-one (i.e. the function is non-injective), but rathermany-to-one. Although there is a loss of information between a raw data set andan observed covariance matrix, in structural equation modeling weare often only modeling the observed covariance matrix and theobserved means. We want to adjust the model parameters to make theobserved covariance and means matrices as close as possible to themodel-implied covariance and means matrices. Therefore, we areusually not concerned with the loss of information from raw data toobserved covariance matrix. However, when some raw data is missing,the standard maximum likelihood method for determining how closethe observed covariance and means matrices are to themodel-expected covariance and means matrices fails to use all ofthe information available in the raw data. This failure of maximumlikelihood (ML) estimation, as opposed to FIML, is due to MLexploiting for the sake of computational efficiency somemathematical properties of matrices that do not hold true in thepresence of missing data. The ML estimates are not wrong per se andwill converge to the FIML estimates, rather the ML estimates do notuse all the information available in the raw data to fit themodel. The intelligent handling of missing data is a primary reason to useFIML over other estimation techniques. The method by which FIMLhandles missing data involves filtering out missing values whenthey are present, and using only the data that are not missing in agiven row. (MORE)

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Discrimination is a broad term. It would help a lot if you actually specify what type of discrimination you are asking about. Generally, all if not most discrimination stems f…rom a lack of understanding. When a person did not interact with the subject of discrimination and form their opinion based on hearsay and their own biased thinking, discrimination results. Ignorance leads to discriminatory behaviour. Sometimes, if you want to reduce the possibility of discrimination, knowledge is key. Researching and experience is your best tools to counteract discriminatory behaviour. (MORE)

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Likelihood is the chance that something will happen. Severity is how bad it will be if it does happen.

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In Uncategorized

In statistics, a likelihood function (often simply likelihood) is a function of a statistical model. The likelihood of a set parameter values, given outcomes x, is equal to th…e probability of those observed outcome. (MORE)