STF1103 LU1

A non-parametric test is most suitable to analyze the data such as below, EXCEPT:

• Small set of data

• Nominal data

• Large set of data

• Ordinal data

Below are examples of ordinal data, EXCEPT:

• Customer’s satisfaction of a food store

• The height of FRST student

• Income level of manager of different companies

• Education level of employees at UNIMAS

In a non-parametric test, there is no prior assumption needed regarding the ____________.

• sample

• method

• analysis

• population

The followings show the correct pair for non-parametric test vs parametric, EXCEPT:

• Wilcoxon Sign-Rank test vs One-sample t-test or z-test

• Kruskal-Wallis test vs One-way ANOVA

• Friedman test vs Two-way ANOVA

• Mann-Whitney test vs Two-sample t-test

If you have independent samples of ranked data, which nonparametric test should you use?

• The t test

• The one-way ANOVA

• The two-way ANOVA

• The Mann-Whitney test

If you have dependent samples of ranked data, which nonparametric test should you use?

• The Wilcoxon test

• The one-way ANOVA

• The two-way ANOVA

• The Kruskal Wallis test

Nonparametric tests can be applied to _______ and ordinal scaled data.

• ANOVA

• P<0.05

• 2 way analysis

• nominal

The null hypothesis is_________ when the test statistics calculated is less than the critical value.

• accepted

• rejected

• zero

• accepted with condition

The _______ test is used to compare two or more groups that are independent.

• standard deviation

• variance

• median

• mean

_____________are not based on the restrictive normality assumption of the population or any other specific shape of the population.

• Nonparametric test

• Parametric test

• Paranormal test

• Paragraph