Normal probability plots, Applied Statistics

The Null Hypothesis - H0:  The random errors will be normally distributed

The Alternative Hypothesis - H1:  The random errors are not normally distributed

Reject H0: when P-value ≤ α = 0.05

1701_Normal Probability Plots.png

As the P value is 0.005 it is less than the 0.05 significance level therefore reject H0 and accept H1 as there is sufficient evidence to suggest that random errors are not normally distributed. The assumption of normality is possibly satisfied as the normal probability plot is close to the straight line.

Posted Date: 3/4/2013 5:13:09 AM | Location : United States







Related Discussions:- Normal probability plots, Assignment Help, Ask Question on Normal probability plots, Get Answer, Expert's Help, Normal probability plots Discussions

Write discussion on Normal probability plots
Your posts are moderated
Related Questions
Advantages of Sampling Why should we settle on a sample instead of studying the entire population?  Sampling has the following advantages over a census (study of the entire pop

Question: (a) (i) Define the term multicollinearity. (ii) Explain why it is important to guard against multicollinearity. (b) (i) Sometimes we encounter missing values


Ask queFrom these studies, which of the following may be considered a variable that can have a probability distribution? [I] Percentage of Sub-Saharan Africans that smoke [II] Perc

In 120 tosses of a coin, 45 heads and 75 tails are observed. Is this a balanced coin? Use a=0.05. (Follow the basic steps of hypothesis testing)

The Harmonic Mean is based on the reciprocals of numbers averaged. It is defined as the reciprocal of the arithmetic mean of the reciprocal of the given individual observations. Th

Coefficient of Variation The standard deviation discussed above is an absolute measure of dispersion. The corresponding relative measure is known as the coefficient of vari

calculate variance and standard deviation of the following sample 12,22,32,13,12,23,34,52,56,23,44,32,11,11

types of sampling method

First we look at these charts assuming that we know both the mean and the standard deviation of the process, that is  μ and  σ . These values represent the acceptable values (bench