what is meant by a negative binomial distribution what is meant by a negative binomial distribution
Yes.
The data from a normal distribution are symmetric about its mean, not about zero. There is, therefore nothing strange about all the values being negative.
Probability distribution in which an unequal number of observations lie below (negative skew) or above (positive skew) the mean.
The variance is always positive. The variance is not directly related to the sign (nor magnitude) of the mean.
what is meant by a negative binomial distribution what is meant by a negative binomial distribution
Yes. If much of your data has negative values, it's likely that the mean will be negative, too.
Yes.
The F distribution can't be negative.
It means distribution is flater then [than] a normal distribution and if kurtosis is positive[,] then it means that distribution is sharper then [than] a normal distribution. Normal (bell shape) distribution has zero kurtosis.
The data from a normal distribution are symmetric about its mean, not about zero. There is, therefore nothing strange about all the values being negative.
Probability distribution in which an unequal number of observations lie below (negative skew) or above (positive skew) the mean.
The variance is always positive. The variance is not directly related to the sign (nor magnitude) of the mean.
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.
Use the context: if the variable should be greater than the mean then z is positive and if less than the mean, it should be negative.
No. The standard deviation is not exactly a value but rather how far a score deviates from the mean.
Yes it can be negative.