MANOVA and Reflection: Exploratory data analysis and analysis of variance

Statistics
MANOVA and Reflection:
Student name:
Instructor:
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Statistics
PART A: SPSS ASSIGNMENT
1. Exploratory data analysis
Q-Q plot for test of normality
a. Data analysis
i. Low density lipoprotein
Figure 1. Source: Author
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Statistics
ii. High density lipoprotein
Figure 2. Source: Author
b. Analysis of variance is one of the parametric tests. Parametric tests unlike their
counterparts (non-parametric tests) are very sensitive to normality of data sets. Therefore
before any parametric test is conducted, normality of the dataset involved must be
ascertained (Sedgwick, 2014). There are various methods of assessing the normality of
data. One of them is the use of the Q-Q plots. This was employed here to establish
whether the LDL and HDL data were normally distributed before an analysis of variance
could be conducted. It can be observed that in both figure 1 and figure 2, the data points
follow the diagonal line with very few outside. This is an indication that both variables
are normally distributed and therefore any parametric tests can be done on them.
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