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Q: Are these true of normal probability distribution IIt is symmetric about the mean TTotal area under the normal distribution curve is equal to 1 DDistribution is totally described by two quantities?

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Nothing since it is impossible. No event can have 5 as the probability of success.

Z = -0.8416

Yes. By definition. A normal distribution has a bell-shaped density curve described by its mean and standard deviation. The density curve is symmetrical(i.e., an exact reflection of form on opposite sides of a dividing line), and centered about (divided by) its mean, with its spread (width) determined by its standard deviation. Additionally, the mean, median, and mode of the distribution are equal and located at the peak (i.e., height of the curve).

No, it is described as a relation.

because there brocken apart

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Nothing since it is impossible. No event can have 5 as the probability of success.

The probability density of the standardized normal distribution is described in the related link. It is the same as a normal distribution, but substituted into the equation is mean = 0 and sigma = 1 which simplifies the formula.

There are probably many probability distributions that have just one parameter. The most important one for statistical analysis is probably the Student t distribution.This probability distribution is fully described by a single parameter which is often called "degrees of freedom". The parameter describes the scale of the distribution, and not the location, since the Student t distribution is always centered at zero (unlike the normal distribution, which has a scale parameter, the variance, and a location parameter, the mean).Another example of a distribution that is described with a single parameter is the exponential distribution. Unlike the Student t distribution, it is a distribution that takes only positive values.

All other quantities which described in terms of base quantities are called base quantities.

All other quantities which described in terms of base quantities are called base quantities.

All other quantities which described in terms of base quantities are called base quantities.

Vector quantities are those that must be described with both a magnitude and direction. Scalar quantities can be described with only a single value.

there are three types of quantities:-1.Scalar quantities - Scalarsare quantities that are fully described by a magnitude (or numerical value) alone.2.vector quantities - Vectorsare quantities that are fully described by both a magnitude and a direction.3.Tensor quantities - tensors are quantities that are fully described by magnitude, direction and the plane thecomponent acts on.

Scaler Quantity- quantities which are described only by magnitude.Vector Quantity- quantities which are described by both magnitude as well as direction.

Probability is a numeric expression of the "odds" that something will happen.

Scalar quantities are physical quantities that can be described with a single value. They are unlike vector quantities which require both magnitude and direction.

those quantities in which we are need are both magnitude and direction for complete described is called a Victor

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