Null hypothesis model, Advanced Statistics

The Null Hypothesis - H0: Model does not fit the data i.e. all slopes are equal to zero β12 =...=βk=  0

The Alternative Hypothesis - H1:  Model does fit the data i.e. at least one slope is not equal to zero β1,β2,...,βk ≠ 0

Reject H0 if P-Value  ≤ α = 0.05 or F ≥ F?¹'?² = F4'¹5¹4  = 2.37781

 

2102_Null Hypothesis Model.png

Inverse Cumulative Distribution Function

F distribution with 4 DF in numerator and 1514 DF in denominator

P( X <= x )        x

       0.95      2.37781

Since F = 134.74 > 2.61078 (CV) we have sufficient evidence to reject H0 at the 5% significant level. Hence we conclude that the goodness of fit model does fit the model.  Also since the P-Value = 0.000 < 0.05 we reject H0 as it is highly significant.

Posted Date: 3/4/2013 4:53:34 AM | Location : United States







Related Discussions:- Null hypothesis model, Assignment Help, Ask Question on Null hypothesis model, Get Answer, Expert's Help, Null hypothesis model Discussions

Write discussion on Null hypothesis model
Your posts are moderated
Related Questions
The graphical process most frequently used in the analysis of data from a two-by-two crossover design. For each of the subject the difference between the response variable values o

Helmert contrast is the contrast often used in analysis of the variance, in which each level of a factor is tested against average of the remaining levels. So, for instance, if th

what are all the organs

Probabilistic matching is a method developed to maximize the accuracy of the linkage decisions based on the level of agreement and disagreement among the identifiers on different

Hazard plotting  is based on the hazard function of a distribution, this procedure gives estimates of distribution parameters, the proportion of units failing by the given time per

Bimodal distribution : The probability distribution, or we can simply say the frequency distribution, with two modes. Figure 15 shows the example of each of them

Your first task is to realize two additional data generation functions. Firstly, extend the system to generate random integral numbers based on normal distribution. You need to stu

A manufacturing company has two factories F 1 and F 2 producing a certain commodity that is required at three retail outlets M 1 , M 2 and M 3 . Once produced, the commodity is

Model is the description of the supposed structure of a set of observations which can range from a fairly imprecise verbal account to, more commonly, a formalized mathematical exp

i need help for my assignment and the deadline is Friday