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Statistical Analysis

Basically, the negative impact of smoking on human health is traditionally taken for granted. However, the negative impact of smoking on health has to be proved and t-test can help to prove or disprove this hypothesis. Therefore, it is possible to suggest the null hypothesis that smoking has a negative impact on human health and the alternative hypothesis is that smoking does not have a negative impact on human health.

In the course of the study two groups of subjects were used. The first group consisted of smokers, while the second group consisted of non-smokers. The independent variables were the age, smoking habits, and gender of individuals. The dependent variable was the health condition of smokers and non-smokers, which could have depended on their smoking habits as well as age or gender of subjects of the study.

In the course of the study, the difference between smokers and non-smokers in terms of their health condition was revealed. Smokers of different age and gender have substantially more health problems compared to non-smokers. For instance, when smokers of the same gender and age were compared to non-smokers of the same gender and age, they had consistent differences in their health condition. Smokers had more problems with breathing, cardiovascular system, and some other health problems compared to smoker. At the same time, The age and experience of smoking increased the number of negative effects of smoking on human health.

Thus, the study has revealed the fact that the null hypothesis was right and the t-test proved that smokers have more health problems compared to non-smokers. Therefore, smoking does have a negative impact on human health.

 

REFERENCES:

Boneau, C. Alan (1960). “The effects of violations of assumptions underlying the t test”. Psychological Bulletin 57 (1): 49–64.