Not what you're looking for?
I'm having difficulty understanding and showing in layman terms or simple terms an example and comparison between the ANOVA test, Kruskal-Wallis test, and T-Test Statisitc.
Purchase this Solution
The solution answers the question(s) below.
When simultaneously several treatments are to be compared the ANOVA becomes cheap and fast process. But, this method is good for normal distribution. But when it deviates from normality then Kruskal-Wallis test becomes effective. The t-test is good for comparing two treatments at a time but is not good for more than 2 treatments comparision at a time.
An experiment is conducted to determine the soil moistudre deficit resulting from varying amounts of residual timber left after cuttingtrees in forest. The three treatments are treatment 1: no timber left; treatment 2: 2000 bd ft left; treatment 3: 8000 bd ft left. (Board feet is a particular unit of measurment of timber volume.) The measurments of moisture deficit are given in the table. Perform the ANOVA test and and costruct confidence intervals for treatment ...
- BEng, Allahabad University, India
- MSc , Pune University, India
- PhD (IP), Pune University, India
- " In question 2, you incorrectly add in the $3.00 dividend that was just paid to determine the value of the stock price using the dividend discount model. In question 4 response, it should have also been recognized that dividend discount models are not useful if any of the parameters used in the model are inaccurate. "
- "feedback: fail to recognize the operating cash flow will not begin until the end of year 3."
- "Answer was correct"
- "Great thanks"
- "Perfect solution..thank you"
Purchase this Solution
Free BrainMass Quizzes
Each question is a choice-summary multiple choice question that presents you with a statistical concept and then 4 numbered statements. You must decide which (if any) of the numbered statements is/are true as they relate to the statistical concept.
This quiz covers basic terms and definitions of statistics.
This quiz evaluates the students understanding of the measures of central tendency seen in statistics. This quiz is specifically designed to incorporate the measures of central tendency as they relate to psychological research.
Tests knowledge of the three main measures of central tendency, including some simple calculation questions.