Hypothesis One The hypothesis ‘Fashion is likely to have significant effect on female’s perception of their body image than male’s.
And this was analyzed using the One-Way ANOVA, because the hypothesis compares fashion on female’s perception of their body image to that of male’s and this is represented in the table below.
TABLE 1.0 Summary of Means, Standard Deviations and One-Way ANOVA
Gender N M SD df F sig
Male 50 20.90 3.75 1 .26 .613 Female 50 21.30 4.12 98
It can be observed from the above table that the mean score and standard deviation score of females is higher than that of males [(M=21.30, SD=4.12)>(M = 20.90,SD = 3.75)]. Even though a difference exist between the means and standard deviations of males and females, the f value is not significant [f (1, 98) = 0.26, p=0.63]. Hence the above data shows that the hypothesis is not supported, therefore should be rejected.
HYPOTHESIS TWO
This hypothesis ‘There is significant positive correlation between magazine lifestyle and fashion’. The Correlation test was used to analyze this hypothesis; this is because the hypothesis seeks to identify the relationship between magazines read by students and their fashion lifestyle. The results of the analysis are represented in the table below.
Table 2.0 Summary of correlation
From the table 2.0 above it can be observed that there is a positive relationship between the mean score and standard deviation of students who read through magazines and their fashion lifestyle exhibited[(M=18.43, SD=3.59) ≤ (M=19.96, SD= 2.98)]. It also shows a moderate positive correlation between magazines read and fashion lifestyle exhibited (r= 0.34, N= 100, P = 0.00, one tailed). It’s a fairly moderate correlation with 12% of variance experienced. The hypothesis There is significant positive correlation between magazine lifestyle and fashion’ is therefore supported.
HYPOTHESIS THREE
The hypothesis ‘females are more likely to