My research topic is a correlation study between quantity of water intake and number of sleeping hours for humans. I became interested in the topic when a friend of mine shared an interesting belief of his culture that drinking too much water can upset sleep. Although this is not the exact topic that I am choosing for this study, I believe that the groundwork for that research interest is to determine whether or not the average number of glasses of water that a person drinks in a day has any relationship with that person’s average number of sleeping hours. This is data that can be collected through a survey of at least 30 respondents to make the sample large.
In following the 5 steps of hypothesis testing, my null hypothesis would be that there is no significant relationship between the average number of glasses of water consumed in a day and average number of sleeping hours (H0: ρ= 0) (Lane, 2007). This implies that my alternative hypothesis is that there is a significant relationship between the said variables (H1: ρ≠ 0).The hypothesis will be tested at a 0.05 significance level. The statistic that will be used is the Pearson r correlation coefficient which will be computed using appropriate statistical software.
Its probability value will be determined and compared against the 0.05 confidence level. If the probability value exceeds the confidence level, then the null hypothesis is accepted, and we can conclude that there is no significant relationship between the average number of glasses of water consumed in a day and average number of sleeping hours. If the p-value is less than or equal to the confidence level, then the null hypothesis is rejected in favor of the alternative hypothesis.
Lane, D. (2007). Steps in Hypothesis Testing. Retrieved January 24, 2008 from: http://davidmlane.com/hyperstat/B35642.html