Question

- Name the 2 parametric tests used for 2 independent samples

- Name the nonparametric test used for 2 independent samples.

Answer #1

a)2 parametric tests used for 2 independent samples

1)Welch's t test (For unequal population variance)

2)Two sample Fisher's t test (For equal population variance assumption )

b)Two non parametric tests used for two independent samples are

1)Mann-Whitney's test..(to determine if the samples come from a single population or from two different populations meaning that the two samples may be considered identical or not.)

2)Kolmogorov-Smirnov's test(to determine if the populations from which the samples were taken have different cumulative distribution functions. )

Note :If there is any understanding problem regarding this please feel free to ask any doubt in comment box. Thank you.

What is a nonparametric test? How does a nonparametric test
differ from a parametric test? What are the advantages and
disadvantages of using a nonparametric test?
What is a nonparametric test and how does a nonparametric test
differ from a parametric test?
A.
A nonparametric test is a hypothesis test that does not require
the population mean to be positive, unlike parametric tests,
which require the population mean to be positive.
B.
A nonparametric test is a hypothesis test that...

6. (1 pt) Match each of the nonparametric tests in Column A with
its parametric counterpart in Column B
Nonparametric Test (column A) vs. Parametric
Test (column B)
1. Mann-Whitney U-test a. Paired t-test
2. Friedman test b. One-way ANOVA
3. Kruskall-Wallis test c. Independent groups t-test
4. Wilcoxon signed-ranks test d. Repeated measures ANOVA

1. State three ways that nonparametric tests differ from
parametric rests.
tests*

what is a nonparametric test? What is a parametric
test

Nonparametric tests are more likely to be appropriate than
parametric tests when: a. The response variable is severely skewed
b. The response variable is measured on at least an interval scale
c. The sample size is large d. Values in the population are
normally distributed

1.
Nonparametric tests have _________ power than equivalent parametric
tests, and are considered parameter-free because the inferential
test is ________.
a. less; based on fewer degrees of freedom
b. less; not based on sample means
c. less; not based on skewed distributions
d. more; based on estimated population means
e. more; not susceptible to sampling error
2. A spearman rank order correlation is appropriate for
_________ data because a(n) __________ cannot be computed.
a. ranked; meaningful order
b. ordered; standard...

1. Nonparametric tests
Do not test hypotheses about a population
Do not rely on samples
Do not make assumptions about the shape of a population
Do not depend on sample size
Do not work with nominal level variables

We have learned a lot about the parametric tests in this class
and just scratched the surface of the nonparametric types of tests.
Which type of tests do you think are the most useful in the world
(Parametric or nonparametric)? Please give at least two reasons why
you made your choice.

which of the following tests provides a nonparametric
alternative for a single factor independent measures anova

1. Upon which
type of data could
parametric tests be applied?
Upon which type of data could
nonparametric tests be
applied?
2. What are
at least five assumptions that must be met or nearly met to use
parametric tests?

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