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A California governor's commutation (executive clemency) can reduce an inmate's sentence or make the inmate eligible for early parole]

Inmates currently serving a jail or prison sentence in California can petition to have the governor commute their sentence. A commutation is a type of clemency that does not change or reverse a finding of guilt. But it reduces or eliminates a prisoner's sentence.

A governor's commutation can also make a prisoner immediately eligible for parole. Women Martin Short Boots Suede Leather Flat Heel Thicker Plush Warm Casual Shoelace Ankle Cotton Shoes GRAY43 bFKfEgUDYM
will then determine whether the prisoner is ready for release. 1

Who is eligible for a commutation?

Anyone convicted of a crime in California is eligible for a commutation (except government officials who were impeached). 2

Note that California's governor cannot commute a sentence if the conviction was for:

If the applicant was convicted of two or more felonies, the governor may not commute his or her sentence unless a majority of justices of the California Supreme Court consent. 3

But the governor can grant a commutation on his/her own to someone convicted of any number of misdemeanors or a single felony .

Whether or not the consent of the court is needed, the inmatemust submit an application for Executive Clemency to the governor in order to receive a commutation.

To help you better understand how to get a sentence for a California conviction commuted, our California criminal defense lawyers discuss, below:

An inmate's age and conduct while in prison are factors that can help California's governor decide whether to grant a commutation (executive clemency)]

A commutation is a reduction or elimination of a prisoner's sentence. It does not reverse a finding of guilt or restore civil rights lost as the result of a conviction.

Someone with a conviction may be able to get some or all civil rights restored by:

Even though a commutation does not restore civil rights, it can reduce a sentence or allow a prisoner to become immediately eligible for parole.

Thus it is used primarily to:

It can also reduce or eliminate a fine or another court-ordered penalty.

Anyone convicted of a California criminal offense can have a sentence commuted by the governor (except people who were impeached). 4

Even people sentenced to death or life imprisonment can have their sentences commuted by the governor.

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5. Covariance and Correlation

Recall that by taking the expected value of various transformations of a random variable, we can measure many interesting characteristics of the distribution of the variable. In this section, we will study an expected value that measures a special type of relationship between two real-valued variables. This relationship is very important both in probability and statistics.

As usual, our starting point is a Ajvani Womens ladies high over the knee elastic curvy stretch pull on low heel boots size Black Suede Heeled Gold Zip L9Yxe8
with probability measure \P on an underlying sample space . Unless otherwise noted, we assume that all expected values mentioned in this section exist. Suppose now that X and Y are real-valued random variables for the experiment with means \E(X) , \E(Y) and variances \var(X) , \var(Y) , respectively.

The of (X, Y) is defined by \cov(X, Y) = \E\left(\left[X - \E(X)\right]\left[Y - \E(Y)\right]\right) and, assuming the variances are positive, the of (X, Y) is defined by \cor(X, Y) = \frac{\cov(X, Y)}{\sd(X) \sd(Y)}

Correlation is a scaled version of covariance; note that the two parameters always have the same sign (positive, negative, or 0). When the sign is positive, the variables are said to be positively correlated ; when the sign is negative, the variables are said to be negatively correlated ; and when the sign is 0, the variables are said to be uncorrelated . Note also that correlation is dimensionless, since the numerator and denominator have the same physical units, namely the product of the units of X and Y .

As these terms suggest, covariance and correlation measure a certain kind of dependence between the variables. One of our goals is a deep understanding of this dependence. As a start, note that \left(\E(X), \E(Y)\right) is the center of the joint distribution of (X, Y) , and the vertical and horizontal lines through this point separate \R into four quadrants. The function (x, y) \mapsto \left[x - \E(X)\right]\left[y - \E(Y)\right] is positive on the first and third of these quadrants and negative on the second and fourth.

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