Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
NON PARAMETRIC TESTS
All practical data follow normal distribution under such situations can estimate the parameters such as mean variance etc ,,, and use the standard test they are known as parametric test. The practical data may be non normal and or it may not be possible to estimate the parameter of the data. The tests which are sued for such situations are called nonparametric tests. Since these tests are based on the data which are free distribution and parameter these tests are known as nonparametric tests.
The nonparametric tests require less calculation because there is no need to compute parameters. Also these test can be applied to very small samples more specifically during pilot studies in market research.
The test techniques makes use of or more values obtained from sample data often called test statistic to arrive at a probability statement about the hypothesis. But no such assumptions are made in case of nonparametric tests. In a statistical test two kinds of assertions are involved viz... an assertion directly related to the purpose of investigation and other assertions to make a probability statement. The former is an assertion to be tested and is technically called a hypothesis whereas the set of al other assertions is called the model. When we apply a test to ( to test the hypothesis ) without a model it is known as distribution free test or the non parametric test. Non parametric tests do not make an assumption about the parameters of the population and thus do not make an assumption distribution. In other words under nonparametric or distribution free tests we do not assume that a particular distribution is applicable or that a certain value is attached to a parameter of the population.
Techniques of Observation Method Observation always involves some interaction between respondent and researcher in which researcher has an opportunity to watch respondent fu
what is meant by Application Areas of Linear Programming?
#questA paper mill produces two grades of paper viz., X and Y. Because of raw material restrictions, it cannot produce more than 400 tons of grade X paper and 300 tons of grade Y p
Characteristics of Good Average a. It should be Rigidly Defined An average should be rigidly defined so that there is no confusion in regard to its meaning and con
identify a new technological innovation not yet commercialized (e.g., house cleaning robotic). What are the product''s features? In your paper, explain how that technological innov
A paper mill produces two grades of paper viz., X and Y. Because of raw material restrictions, it cannot produce more than 400 tons of grade X paper and 300 tons of grade Y paper i
mile-high microbrewery makes a light beer and a dark beer. mile-high has a limited supply of barley, limited bottling capacity, and a limited market for light beer. profits are $0.
Explain the classification of models 1. Classification by function or uses 2. Classification by degree of qualification 3. Classification by physical characteristics 4. Classidicat
need of detailed information about the topic
Graphs of Time Series A time series is a sequence of values corresponding to successive points of time. Time series are graphed with time on the x axis and the oth
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +91-977-207-8620
Phone: +91-977-207-8620
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd