![]() ![]() Mean: Add up all the scores and divide by the number of scores.Common graphical techniques include histograms, bar charts, pie charts, scatter plots, and box plots.īy employing descriptive statistics, researchers can effectively summarize and communicate the key characteristics of a dataset, facilitating a better understanding of the data and providing a foundation for further statistical analysis or decision-making processes.Īlso Read: The Difference Between Data Mining and Statisticsĭescriptive Statistics Examples Example 1:Įxam Scores Suppose you have the following scores of 20 students on an exam:Ĩ5, 90, 75, 92, 88, 79, 83, 95, 87, 91, 78, 86, 89, 94, 82, 80, 84, 93, 88, 81 This summary typically includes measures such as central tendency (e.g., mean, median, mode), dispersion (e.g., range, variance, standard deviation), and shape of the distribution (e.g., skewness, kurtosis).ĭescriptive statistics also involves a graphical representation of data through charts, graphs, and tables, which can further aid in visualizing and interpreting the information. The primary goal of descriptive statistics is to provide a clear and concise summary of the data, enabling researchers or analysts to gain insights and understand patterns, trends, and distributions within the dataset. It focuses on describing and analyzing a dataset's main features and characteristics without making any generalizations or inferences to a larger population. What is Descriptive Statistics?ĭescriptive statistics refers to a branch of statistics that involves summarizing, organizing, and presenting data meaningfully and concisely. Today, we look at descriptive statistics, including a definition, the types of descriptive statistics, and the differences between descriptive statistics and inferential statistics. Statistics further breaks down into two types: descriptive and inferential. Statistics are crucial for drawing general conclusions relating to a dataset from a data sample. ![]() It is especially handy when dealing with populations too numerous and extensive for specific, detailed measurements. Statistics is the science, or a branch of mathematics, that involves collecting, classifying, analyzing, interpreting, and presenting numerical facts and data. Ask the average person what statistics are, and they’ll probably throw around words like “numbers,” “figures,” and “research.” If you work with datasets long enough, you will eventually need to deal with statistics. Reviewed and fact-checked by Sayantoni Das
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |