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Digit Ratio 2D:4D Essay Example

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Digit Ratio 2D:4D

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Correlation and Regression equations were predicted through scatter grams. T test was carried out to find out the significance level between the groups tested for the hypotheses in the study.Fig 2: Represents the difference in mean self esteem scores between males and females and it reflects there is significant difference between the self esteem scores between the samples evaluated in the study. The males have a higher self esteem scores than females.From the above results it becomes evident that the findings of previous studies that males tend to have a lower 2D:4D ratio than females was not confirmed by the present study. In fact in the present study there was no significant difference between the digit ratios in males and females and males tend to had more 2D:4D ratio than females though it was statistically non significant (p>0.05) which means the observed difference might have happened due to chance factors in random sampling. This extrapolation can be linked to the limitations of the sample statistics, as because the male sample had a mesokurtic (normal) distribution as the kurtosis coefficient was more than 0.263, but the females had a leptokurtic distribution ( kurtosis coefficient less than 0. Then the female scores were negatively skewed compared to the males where skewness was minimal and that too only 0.1(indicating normal distribution again). This is the reason why the female values were not found to be higher as predicted in earlier studies than males. This means that the females had more values in the middle and less value towards the tails and the distribution itself was not a normal distribution. The self esteem scores were significantly more in males than in females (p

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