0
What else can I help you with?
Does t-distribution rely on degree of freedom?
Yes. The parameters of the t distribution are mean, variance and the degree of freedom. The degree of freedom is equal to n-1, where n is the sample size. As a rule of thumb, above a sample size of 100, the degrees of freedom will be insignificant and can be ignored, by using the normal distribution. Some textbooks state that above 30, the degrees of freedom can be ignored.
Does Chi-square distribution becomes more skewed as the degrees of freedom increase?
No- skewness parameter declines with increased degrees of freedom. skewness = sqrt(8/k) see link
What are the difference between static degrees of freedom and dynamic degrees of freedom?
Mass and damping are associated with the motion of a dynamic system. Degrees-of-freedom with mass or damping are often called dynamic degrees-of-freedom; degrees-of-freedom with stiffness are called static degrees-of-freedom. It is possible (and often desirable) in models of complex systems to have fewer dynamic degrees-of-freedom than static degrees-of-freedom.
How do you identify a normal curve?
You cannot. It has a characteristic bell-shaped curve but so does a Student's t with enough degrees of freedom. There are other distributions which, with suitable choice of parameters can be made to look very similar to the Normal curve.
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.
Why t-distributions tend to be flatter and more spread out than normal distribution?
The shape of a t distribution changes with degrees of freedom (df). As the the df gets very large the shape of the t distribution will begin to look similar to that of a normal distribution. However, the t distribution has more variability than a normal distribution; especially when the df are small. When this is the case the t distribution will be flatter and more spread out than the normal distributions.
What is the relationship between specific heat and degrees of freedom in a system?
The relationship between specific heat and degrees of freedom in a system is that specific heat is directly proportional to the number of degrees of freedom. This means that as the degrees of freedom increase, the specific heat of the system also increases.
Does t-distribution rely on degree of freedom?
Yes. The parameters of the t distribution are mean, variance and the degree of freedom. The degree of freedom is equal to n-1, where n is the sample size. As a rule of thumb, above a sample size of 100, the degrees of freedom will be insignificant and can be ignored, by using the normal distribution. Some textbooks state that above 30, the degrees of freedom can be ignored.
Does Chi-square distribution becomes more skewed as the degrees of freedom increase?
No- skewness parameter declines with increased degrees of freedom. skewness = sqrt(8/k) see link
When do you use n-2 degrees of freedom?
With n observations, it could be when 2 distributional parameters have been estimated from the data. Often this may be the mean and variance (or standard deviation( when they are both unknown.
What are the difference between static degrees of freedom and dynamic degrees of freedom?
Mass and damping are associated with the motion of a dynamic system. Degrees-of-freedom with mass or damping are often called dynamic degrees-of-freedom; degrees-of-freedom with stiffness are called static degrees-of-freedom. It is possible (and often desirable) in models of complex systems to have fewer dynamic degrees-of-freedom than static degrees-of-freedom.
Can you get Linux XP for free?
There is no such thing as "Linux XP". If you're referring to Windows XP, then the answer is no. As far as Linux distributions, for the majority of distributions, they are free (as in freedom) and free-of-charge.
How do you identify a normal curve?
You cannot. It has a characteristic bell-shaped curve but so does a Student's t with enough degrees of freedom. There are other distributions which, with suitable choice of parameters can be made to look very similar to the Normal curve.
How many degrees of freedom does a diatomic molecule have?
A diatomic molecule has 5 degrees of freedom.
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.
How many degrees of freedom does a SCARA robot have?
A scara robot uaually have 4 degrees of freedom
How do you explain F-statistic?
If X and Y have Gaussian (Normal) distributions, then the ratio ofthe mean of m variables distributed as X2 andthe mean of n variables distributed as Y2 hasan F distribution with m and n degrees of freedom.
