Ryan-joiner - normal probability plot, 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

210_Normal Probability Plots1.png

As the P value is 0.010 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 5:20:19 AM | Location : United States

Related Discussions:- Ryan-joiner - normal probability plot, Assignment Help, Ask Question on Ryan-joiner - normal probability plot, Get Answer, Expert's Help, Ryan-joiner - normal probability plot Discussions

Write discussion on Ryan-joiner - normal probability plot
Your posts are moderated
Related Questions
the president of a certain firm concerned about the safety record of the firms employee sets aside $50 million a year for safety education. the firms accountant believes that more

#There were three types of food, and the researcher recorded which foods were bought. Peanut Butter Banana Hamburger 15

A country''s national accounts are assumed to look as follows: GDP 1180 VAT and taxes 140 Commodity subsidies 60 Raw material and consumables 530 1. Calculate GVA 2. Calculate t

If the economy does well, the investor's wealth is 2 and if the economy does poorly the investor's wealth is 1. Both outcomes are equally likely. The investor is offered to invest

The 4 assumptions of regression: 1.       Variables are normally distributed 2.       Linear relationship between the independent and dependent variables 3.       Homosced

Risk of Portfolios So far, we have seen the application of standard deviation in the context of risk in single investment. But usually most investors hold portfolios of securi

Try different numbers of clusters in your program (K=2...15) and build a plot that shows the dependency between number K and value of RSS function on the last iteration. What is th

To study the physical fitness of a sample of 28 people, the data below was collected representing the  number of sit-ups that a person could do in one minute.      10    12

Factor analysis (FA) explains variability among observed random variables in terms of fewer unobserved random variables called factors. The observed variables are expressed in