Each Chi-square random variable is associated with a degree of freedom (υ),
.
As υ increase, Chi-square curves become more symmetric.
Z2, the square of a normal[0,1] random variable, follows a
distribution.
The sum of 2 independent Chi-square random variables with
υ
1
, υ
2
degrees of freedom respectively, has a Chi-square distribution with
υ = υ
1
+ υ
2
degrees of freedom.
E(
) = υ
and V(
) = 2 υ.
If {X
1
, X
2
, …, Xn} is a random sample of size n drawn from normal population with mean μ and standard deviation σ (i.e., X ~ normal[μ,σ]), then {(n-1)S2 }/ σ2 =
~
.
Chi-square is a statistic used to assess the degree of the relationship and degree of association between two nominal variables
The characteristics of the chi-square distribution are: A. The value of chi-square is never negative. B. The chi-square distribution is positively skewed. C. There is a family of chi-square distributions.
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.
There are different methods for comparing the mean, variance or standard error, distribution or other characteristics of populations. Without more specific information it is not possible to answer the question.
The probability distribution function (pdf) is defined over a domain which contains at least one interval in which the pdf is positive for all values. Usually the domain is either the whole of the real numbers or the positive real numbers, but it can be a finite interval: for example, the uniform continuous distribution. Also, trivially, the pdf is always non-negative, the integral of the pdf, over the whole real line, equals 1.
I apologize my question should have read what are the characteristics of a standard normal probability distribution? Thank you
There are many factors to be considered in channel of distribution. Just a few of them include target market characteristics, nature of the product, cost efficiency, company characteristics, middleman characteristics, and competition characteristics.
Skewness is not a characteristic.
Chi-square is a statistic used to assess the degree of the relationship and degree of association between two nominal variables
1.demand characteristics. 2.market characteristics. 3.product characteristics. 4.price characteristics. 5.place or distribution characteristics. 6.promotional characteristics. 7.behavioral characteristics.
There are so many characteristics of human population. Some of the common features of the human population include densities, ethnicities, distribution and languages among others.
Customer Characteristics, Product Attributes, Type of Organization, Competition, Marketing Environmental Forces and Characteristics of Intermediaries are all factors in selecting a distribution channel.
botany
distribution is the spreading of goods or services or other desirable characteristics of organizations throughout other entities who are awaiting their share of the distribution.
The mean is 0 and the variance is 1. This need not be the case in any other Normal (Gaussian) distribution.
1)distribution policy 2)characteristics of the product 3)the target customer in view 4)supply characteristics 5)type of middlemen in the field 6)channel competition 7)potential volume of the sale 8)costs of distribution 9)profit expected in the long run
Sturdy, combat proven, fairly easy to make, worldwide distribution.