134 revision points 1 the hypothesis of a non

• 256

This preview shows pages 114–117. Sign up to view the full content.

13.4. REVISION POINTS 1) The hypothesis of a non-parametric test are concerned with something other than the value of a population parameter. 2) Rank sum tests depends on the ranks of the sample observations. 3) We will use the Mann-Whitney test when only two populations are involved and Kruskal Wallis test when more than two populations are involved. 4) A run is a sequence of identical occurrences proceed and followed by different occurrences.

This preview has intentionally blurred sections. Sign up to view the full version.

109 13.5. INTEXT QUESTIONS 1) What do you understand by non-parametric statistical test ? 2) Give a list of all non-parametric tests you know. 3) What is meant by distribution free statistical tests ? which is the most popular non-parametric statistical test and why ? 4) What are the advantages and disadvantages of the use of non-parametric tests ? 5) Describe the role of ordered statistics in non-parametric tests. 13.6. SUMMARY Non-parametric tests do not require any information whatsoever about the specific form which the population distribution should process The only requirement for these tests to be applicable is that the population distribution should be continuous. As the actual population distribution (normal) is of non- consequence for the application of non-parametric tests, these tests are also designated as distribution free testing methods. The term non-parametric does not imply the population distribution has no parameters, for all populations do possess the basic parameters which define their distribution. 13.7. TERMINAL EXERCISES Short Answer Questions 1) What do you mean by distribution free methods? 2) What is the most characteristic feature of data for which non-parametric test is used? 3) Write a note on the advantages and disadvantages of non-parametric methods. 4) When are Non-parametric tests used? 5) When should the non-parametric methods be preferably used? Objective Questions 1) When compared to parametric methods, non-parametric methods. a) Are less accurate b) Are less efficient c) Are computationally easier d) All of these. 2) Non-Parametric methods are based on. a) Mild assumptions b) Stringent assumptions c) No assumptions d) None of the above 3) Most of the non-parametric methods utilse measurements on a) Interval scale b) Ratio scale c) Ordinal scale d) Nominal scale
110 4) Ordered statistics is a sequence of a) Observations b) Ranks c) Natural numbers d) Integers 5) Most commonly used assumption about the distribution of variable is a) Continuity of the distribution b) Symmetry of the distribution c) Both (a) and (b) d) Neither (a) nor (b) 13.8. SUPPLEMENTARY MATERIALS 1) 2) 3) 4) - statistics 13.9. ASSIGNMENTS 1) Discuss the situations where only non-parametric tests can be applied.

This preview has intentionally blurred sections. Sign up to view the full version.

This is the end of the preview. Sign up to access the rest of the document.
• Spring '12
• abc

{[ snackBarMessage ]}

What students are saying

• As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

Kiran Temple University Fox School of Business ‘17, Course Hero Intern

• I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

Dana University of Pennsylvania ‘17, Course Hero Intern

• The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

Jill Tulane University ‘16, Course Hero Intern