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Introduction to Probability Theory and Health Statistics
Introduction to Health Statistics
Cleavon Battie
JUL2017FT-BHS220
Module 1 SLP Assignment
Dr. Valere Bekolo
18 Jul 2017
When collecting data for health statistics there are many variables to choose from. For this assignment, the variable we will use is: How many minutes do you spend exercising each day?This variable is also a numerical variable. Numerical variables have a value that can be expressed quantitatively. They can describe a measurable quantity as a number such as ‘how many’ or ‘how much’. So, it can also be said that, numerical variables are also quantitative variables. I have obtained the data quantitatively to understand the variation in its measurement from day to day. Numerical variables may be further described as either continuous or discrete (ABS, 2013). The type of Quantitative Data that I will use will be continuous. If a variable can take on any value between two specified values, it is called a continuous variable (Stattrek, 2016).
Data for this assignment was collected for five days. Also, the unit of measurement for this data collection will be in minutes.Normally, I exercise for 30 -60 minutes a day in the gym. I have obtained the data quantitatively to understand the variation in its measurement from day to day. The minutes spent in exercising daily had been recorded for the last five days. I did spend, on average each day, 46 minutes in the gym. Therefore, for the last five days I did spend a total of 230 minutes in the gym exercising (Fig. 1). The importance of the collected data lies in the fact that it is measurable and predictable, and moreover, the data is directly related to my individual health condition.
Every minute spend in exercising should be considered beneficial for an individual. This is primarily because; by adhering to a daily regime of exercise at least for 60 minutes, an individual can, to a large extent, secure his/her health from untimely deterioration. Exercise has a direct relationship with quality of health, and it has been found in different studies that healthy people are often found to be devoting sometime each day to exercising. Emphasizing the importance of exercise, Kravitz (2007) has suggested that, “People of all ages can improve the quality of their lives and reduce the risks of developing coronary heart disease, hypertension, some cancers and type 2 diabetes with ongoing participation in moderate physical activity and exercise.” Such a finding shows that there is an intricate relationship between getting into adaily exercise regime and well-being of one’s health.
Fig. 1
References
Australian Bureau of Statistics. (2013). Statistical Language: What are Variables? Retrieved 17 July 17.
Kravitz, L. (2007). The 25 Most Significant Health Benefits of Physical Activity & Exercise. IDEA Health and Fitness Association. Retrieved July 15, 2017, from
Stattrek. (2016). Probability distributions: Discrete vs. continuous. Retrieved 17 July 17 from