Nonparametric And Anova Methods

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ANOVA has an
vantage over T test in that it allows the revelation of interaction effects
between the variables and via this it allows for even more complicated
hypothesis tests
ANOVA
b. (1) Suppose the
data maneuvered for an ANOVA test does not meet the assumptions, which nonparametric
test would be used?
This
means that the variance of the data in the groups is the same
The Chi square
test namely applied ashore the contingency table for the intention of testing the null
hypothesis of independence of the rows and the columns of the table.
class="MsoNormal" style="line-height: 200%;">QUESTION 1
The three
assumptions of the ANOVA include:
This
assumption states that the data in every data is usually dispensed.
c. What behalf
does ANOVA invest while testing three or more example means instead of the
t-test?
NONPARAMETRIC
METHODS:
Variance homogeneity:
b. What are the
assumptions (limitations) for using Chi-Square, Lind, Ch.
15, p. 531?
Chi square test
a. List and
explain the 3 assumptions for using ANOVA? (Lind, Ch. 12,[link widoczny dla zalogowanych], p. 392)
QUESTION 2
(2) Do you find
anything interesting about how the data is manipulated in this nonparametric
test?
d. With ANOVA,[link widoczny dla zalogowanych],
the independent variable (IV) is an Attribute and the dependent variable (DV)
is Numeric. Identify the IV and DV in the Example
This
manner that the file in the groups are neutral and no dependent
Independence of variables:
Nonparametric
petitions are used when data does not meet the assumptions for parametric
tests,[link widoczny dla zalogowanych], or the data is non-numeric.
Normality:
a. What is the
lowest data "level of measurement" that tin be used in Chi-Square
Tests?
The level of
fathom is resolved at the ecology of variable that are beneath investigation
using the chi square test, although a naught worth on the contingency table may
result into type one alternatively type two mistakes.