0
If coefficient of skewness equals 0 then what would you say about the skewness of the distribution?
Add your answer:
Earn +20 pts
What is skewness how would you find it in a non symmetrical distribution?
Skewness is a measure of the extent to which the probability distribution of a random variable lies more to one side of the mean, as opposed to it being exactly symmetrical.If μ and s are the mean and standard deviation of a random variable X, thenSkew(X) = Expected value of [(X - μ)/s]3
What is skewness and How would you find it in a non symmetrical distribution?
If a random variable X has mean value m, and standard deviation s, then Skewness = E{[(x - m)/s]3} which can be simplified to skewness = [E(X3) - 3ms2 - m3]/s3 and for discrete X, E(X3) = sum of x3*Prob(X = x) where the summation is over all possible values of x. While for continuous X, E(X3) = integral of x3*f(x) where the integral is over the domain of X.
Would you consider two data sets similar or different if they have the same mean median and range but one is positively skewed and other negatively skewed?
If the skewness is different, then the data sets are different.Incidentally, there is one [largely obsolete] definition of skewness which is in terms of the mean and median. Under that definition, it would be impossible for two data sets to have equal means and equal medians but opposite skewness.
What is the coefficient of the term -5a4?
-5a4 The coefficient would be -5. The variable is a and the power is 4.
What is the slope for the equation y equals -2x plus 5?
The slope would be -2 (moving 2 units down and one across). When you have a linear equation, the slope is always the variable's coefficient.
What is skewness how would you find it in a non symmetrical distribution?
Skewness is a measure of the extent to which the probability distribution of a random variable lies more to one side of the mean, as opposed to it being exactly symmetrical.If μ and s are the mean and standard deviation of a random variable X, thenSkew(X) = Expected value of [(X - μ)/s]3
What is the between skewness and kurtosis?
While skewness is the measure of symmetry, or if one would like to be more precise, the lack of symmetry, kurtosis is a measure of data that is either peaked or flat relative to a normal distribution of a data set. * Skewness: A distribution is symmetric if both the left and right sides are the same relative to the center point. * Kurtosis: A data set that tends to have a distant peak near the mean value, have heavy tails, or decline rapidly is a measure of high kurtosis. Data sets with low Kurtosis would obviously be opposite with a flat mean at the top, and a distribution that is uniform.
What is skewness and How would you find it in a non symmetrical distribution?
If a random variable X has mean value m, and standard deviation s, then Skewness = E{[(x - m)/s]3} which can be simplified to skewness = [E(X3) - 3ms2 - m3]/s3 and for discrete X, E(X3) = sum of x3*Prob(X = x) where the summation is over all possible values of x. While for continuous X, E(X3) = integral of x3*f(x) where the integral is over the domain of X.
How skewness can effect on analysis of a study?
If the mean is greater than mode the distribution is positively skewed.if the mean is less than mode the distribution is negatively skewed.if the mean is greater than median the distribution is positively skewed.if the mean is less than median the distribution is negatively skewed. 18-226
Would you consider two data sets similar or different if they have the same mean median and range but one is positively skewed and other negatively skewed?
If the skewness is different, then the data sets are different.Incidentally, there is one [largely obsolete] definition of skewness which is in terms of the mean and median. Under that definition, it would be impossible for two data sets to have equal means and equal medians but opposite skewness.
If there is a small difference such as 5 600 and 5 602 between mean and median values what does this mean?
If the sample is small or not randomly chosen, it may not have much meaning at all. If the random sample is large, it would generally be inferred that the distribution is symmetrical. The skewness of the data can be calculated.
What is a coefficient in math?
A coefficient is a number before a variable. For example, in 2x, the 2 would be the coefficient
What is the number that precedes a variable called?
It called the coefficient of a variable. As an example 16x. 16 would be the coefficient and x would be the variable or term.
What is the answer to -y equals -12?
In this case you would divide each side by negative one. That makes the coefficient of y, 1. so now you have y=12 which is your final answer.
What is the coefficient in the algebraic expression 6n 3?
The coefficient in an expression is the multiplier of the variable in the equation. Here, the coefficient would be 6.
What is the coefficient of the term -5a4?
-5a4 The coefficient would be -5. The variable is a and the power is 4.
How do you calculate friction equals coefficient of friction X normal force when frictional force and coefficient force are variables not given?
If both the frictional force and coefficient of friction are variable and not given, it is not possible to calculate the friction force using the equation friction = coefficient of friction x normal force. The relationship between these variables would need to be explicitly provided in order to determine the friction force.
