answersLogoWhite

0


Best Answer

Yes.

User Avatar

Wiki User

13y ago
This answer is:
User Avatar

Add your answer:

Earn +20 pts
Q: Is the shape of the chi-square distribution bsed on the degrees of freedom?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Related questions

What are characteristics of the X2?

It is not negative. it is positively skewed, and it approaches a normal distribution as the degrees of freedom increase. Its shape is NEVER based on the sample size.


What happens to the shape of the chi-square distribution as the df value increases?

As the value of k, the degrees of freedom increases, the (chisq - k)/sqrt(2k) approaches the standard normal distribution.


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.


What is Chi-square Probability Distribution?

The Chi-square probability distribution is a probability distribution that describes the distribution of the sum of squared standard normal random variables. It is often used in hypothesis testing and is characterized by its degrees of freedom. The shape of the distribution depends on the degrees of freedom parameter, with larger degrees of freedom resulting in a more symmetric and bell-shaped distribution.


Why t-distributions tend to be flatter and more spread out than normal distribution?

T-distributions tend to be flatter and more spread out than normal distributions due to their heavier tails. Unlike the normal distribution, which has thin tails, t-distributions account for uncertainty in sample variance estimation, making them more robust for smaller sample sizes. The additional variability inherent in t-distributions arises from the incorporation of the sample size through the degrees of freedom parameter. As the degrees of freedom decrease, the t-distribution becomes more spread out and flatter, reflecting increased uncertainty and variability in the estimates. This property makes t-distributions well-suited for inferential statistics, particularly when dealing with small sample sizes.


An ellipse in the plane has how many degrees of freedom?

five; they are: position, orientation, shape, and scale


What shape describes a poisson distribution?

A skewed bell shape.


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

A "bell" shape.


How does the shape of the normal distribution differ from the shapes of the uniform and exponential distributions?

the normal distribution is a bell shape and expeonential is rectangular


What is the expected shape of the distribution of the sample mean?

The distribution of the sample mean is bell-shaped or is a normal distribution.


What is the shape of a z-score distribution?

The standard normal distribution or the Gaussian distribution with mean 0 and variance 1.


How many angles has a 5 sided shape have?

The whole shape has 540 degrees in it. To work out the amount of degrees in any shape - total degrees in shape = ((180 x number of sides of shape) - 360)