contribution of statisticians in the development of Statistics

[Audio] Since ancient times, Statistics has been used to assist in making the best decisions. Francis Galton, Florence Nightingale and John Tukey, amongst many other famous statisticians, have worked for centuries to further develop this field. They have greatly contributed to our understanding of statistics and how it can be applied in our daily lives. Their efforts have enabled us to analyze large amounts of complex data in a more efficient and effective manner, enabling us to apply statistics to a range of fields such as medicine, finance, engineering and business. As a result of their pioneering work, we are now able to make better, more informed decisions in all aspects of life. The power of statistics continues to help shape our modern world..

[Audio] Statistics is a powerful and versatile tool used to gain insights and make predictions about populations and phenomena. Its applications span multiple disciplines, allowing us to measure and analyze the world around us in unprecedented ways. Throughout history, many statisticians from around the world have made significant contributions to the field, from developing probability theory and creating methods for analyzing large datasets, to further advancing the field. Their work has been instrumental in the evolution of statistics and has been essential in our ability to leverage it to gain a better understanding of the world..

[Audio] Statistics have been a subject of study and evolution by numerous prominent figures over the years. Descriptive and inferential statistics are two of the most significant areas. Descriptive statistics focuses on the attributes of sample and population data, like mean, variance, skewness, and kurtosis. In contrast, inferential statistics applies these properties to examine hypotheses and arrive at conclusions, utilizing approaches like linear regression analysis, ANOVA or null hypothesis testing. To sum up, these two areas of statistics give us useful insight into the world we inhabit..

[Audio] Throughout history, the development of statistics has been greatly influenced by a variety of famous statisticians. Examples of notable statisticians include Blaise Pascal, Carl Friedrich Gauss, Andrey Kolmogorov, Charles Babbage, and many others. These statisticians were pioneers in their respective fields, and their contributions helped shape the modern approach to statistics." Statistics has been around for centuries, and has evolved dramatically over that time. Many famous statisticians have made influential contributions that shaped the field we know today. People like Blaise Pascal, Carl Friedrich Gauss, Andrey Kolmogorov, and Charles Babbage have all made significant contributions to the development of Statistics that are still relevant today. These pioneering statisticians were visionaries, and their work helped shape our modern understanding of the topic..

[Audio] Statisticians from around the world have made significant contributions to the area of Inferential Statistics. Ronald Fisher's work in hypothesis testing in the early 1900s and Herman Chernoff's research in non-parametric statistics in the 1960s and 70s have been groundbreaking and have shaped modern Statistics. These pioneers have enabled us to gain further understanding of our data and make more precise conclusions from it by pushing the boundaries of what was previously thought possible..

[Audio] Statistics has several basic concepts, such as the terms 'mean', 'median' and 'mode'. These three terms indicate the central tendencies in a sample group. Calculating the mean involves adding the numbers in the group and then dividing the sum by the number of observations. To determine the median, the middle number in the set is identified. For example, the median home value in a neighborhood is the value situated between the highest and lowest values. Additionally, the mode is the most frequent number in the data set..

[Audio] Statisticians from all around the world have been instrumental in the evolution of Statistics over multiple centuries. Nominal-level Measurement involves assigning labels or categories to variables. Ordinal-level Measurement involves ranking outcomes, however, all data values maintain the same worth or weight. Moving on, let's examine the various distributions used to analyse data..

[Audio] Statistics is a powerful tool for understanding the world around us. Its history spans two-thousand years, and it has been continually developed and improved by famous statisticians. Statistics can be used to anticipate the stock market, evaluate medical trial outcomes, and determine the best decisions in various contexts. Knowing and comprehending Statistics is a valuable ability to possess in many different situations, from finding a job to making wise investments to gaining insight on the world..

THANK YOU. BY AKASH WANKHEDE.