11. CONSTRUCTION AND LABELING OF GRAPHS
Graphs are powerful tools for representing numerical data visually. They make complex information easier to understand, highlight patterns, and support accurate interpretation. In scientific research and biostatistics, proper construction and…
12. HISTOGRAM, PIECHARTS, SCATTER PLOTS, SEMILOGARTHIMIC PLOTS
Graphs and diagrams are essential tools in biostatistics for representing data visually. Different types of graphs are suited for different types of data and statistical purposes. Four commonly used visual…
13. NULL HYPOTHESIS, LEVEL OF SIGNIFICANCE
Hypothesis testing is a fundamental component of biostatistics and scientific research. It allows researchers to evaluate whether the findings of a study are due to chance or represent a true…
10. STANDARD DEVIATION, VARIANCE, COEFFICIENT
Standard deviation, variance, and coefficient of variation are essential statistical tools used to measure variability within a dataset. In biostatistics and pharmaceutical research, understanding these measures helps determine how much…
9. MEASUREMENT OF THE SPREAD OF DATA: RANGE, VARIATION OF MEAN
In biostatistics, it is not enough to know the central value of a dataset. We also need to understand how far the data values spread out from the center. Measures…
8. MEASURES DESCRIBING THE CENTRAL TENDENCY DISTRIBUTIONS- AVERAGE, MEDIAN, MODE
Central tendency refers to a statistical measure that identifies the central or typical value within a dataset. When large amounts of numerical data are collected, it becomes difficult to interpret…