Data

My data set has two variables, and it is time I spend on exercising. The amount of water taken is the independent variable whereas the exercise time is the dependent variable. The amount of water was measured by use of an Anchor Hocking glass measuring cup while the time was recorded in minutes by the help of the SportLine 480 Tough Timer Stopwatch.

The variables of this data are quantitative as they take numerical values that represent time elapsed in each exercise session. Moreover, since the variables consist of only countable values, they can be described as discrete (Statistical Language).

The underlying hypothesis is that if I spent more time exercising, I would lose more water and thus I will take more water to compensate for the loss. The hypothesis can be determined by examining a random sample from the population (Statistical Language). The data collected is essential to my health as it will give me an insight into how much water I need to maintain a healthy lifestyle.

Work Cited

“Australian Bureau of Statistics.” Statistical Language – Measures of Central Tendency, www.abs.gov.au/websitedbs/a3121120.nsf/home/statistical language – what are variables.