ENVIRONMENTAL HEALTH

Environmental Health

Part One

When it comes to data analysis, the current paper will seek to apply quantitative techniques in analyzing the data sets under investigation through summary statistics and inferential statistics. Summary statistics aim to describe the data in a meaningful format by using central tendency measures (mean, median and mode) without making inferences (Kothari, 2004). Through correlation and regression analyses, a correlational study will be applied to evaluate the cause-and-effect relationship. In essence, the techniques mentioned above aim to assess the relationship between the variables (low-income families, air pollution, and overall life expectancy).

Descriptive Statistics

Variable

Mean

Median

Mode

Low-income families

Air pollution

Life expectancy

Part 2

In as far as the previous weeks journal article is concerned, it would be prudent to note that the researchers/authors applied quantitative techniques utilizing summary statistics and inferential statistics using a paired t-test to assess the significant differences. The studys results were analyzed and presented in two tables and one figure. The studys data sets were examined using microscopy. The collected data sets were presented effectively, as this was done in tables, which summarized the data in an organized manner.

References

Kothari, C. R. (2004).Research methodology: Methods and techniques. New Age International.

Sia Su, Glenn & Mariano, Clara & Matti, Nikki Shayne & Ramos, Gliceria. (2012). Assessing parasitic infestation of vegetables in selected markets in Metro Manila, Philippines. Asian Pacific Journal of Tropical Disease, 2, 5154.