Evaluating the effectiveness of extension programs is crucial to ensure that the interventions implemented provide positive impacts for farmers. One way to measure this effectiveness is by comparing production before and after the program using a paired t-test.
Descriptive statistics analysis is a crucial step in research, aimed at summarizing and illustrating fundamental information from a dataset. Through descriptive statistics, we can present data in a more informative and easily understandable format.
Standard deviation is a statistical metric designed to measure the spread or variation of data within a research variable. You can determine how far each data point is from the average data in that variable through the standard deviation value.
Microsoft Excel is widely popular among researchers for assisting in various data tabulations and analyses. Excel provides a range of basic statistical functions such as mean, median, mode, standard deviation, and other functions for descriptive statistical analysis.
Natural logarithm transformation is a commonly used method in the data analysis process. In this transformation, we utilize the natural logarithm (ln) with the constant value ‘e’ to change the original data into a different form, aiming to meet the assumptions required for the selected statistical tests.
