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The shape of the F distribution is?

Updated: 4/28/2022
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12y ago

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skewed right.

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12y ago
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Q: The shape of the F distribution is?
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What shape is the F distribution?

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How do you explain the characteristics of the F Distribution?

Characteristics of the F-distribution1. It is not symmetric. The F-distribution is skewed right. That is, it is positively skewed.2. The shape of the F-distribution depends upon the degrees of freedom in the numerator and denominator. This is similar to the distribution and Student's t-distribution, whose shape depends upon their degrees of freedom.3. The total area under the curve is 1.4. The values of F are always greater than or equal to zero. That is F distribution can not be negative.5. It is asymptotic. As the value of X increases, the F curve approaches the X axis but never touches it. This is similar to the behavior of normal probability distribution.


Can the F distribution be negative?

The F distribution can't be negative.


The F-distribution is symetrical around mean zero True or False?

The F-distribution is either zero or positive, so there are no negative values for F. This feature of the F-distribution is similar to the chi-square distribution. The F-distribution is skewed to the right. Thus this probability distribution is nonsymmetrical.


Is the f distribution negatively skewed?

In general the distribution of F-ratio means what


Is the f distribution a continuous distribution?

Yes.


Is f distribution a discrete distribution?

No, it is continuous.


What distribution does the F distribution approach as the sample size increases?

The F distribution is used to test whether two population variances are the same. The sampled populations must follow the normal distribution. Therefore, as the sample size increases, the F distribution approaches the normal distribution.


Is the F distribution same as t distribution?

No they are not the same.


Is the F distribution a symmetric distribution?

No.It is asymmetric.


What shape describes a poisson distribution?

A skewed bell shape.


What describes the shape of a distribution which is approximately normal?

A "bell" shape.