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Page 1 Statistics Page 2 Statistics Introduction to Statistics Page 3 Statistics Introduction to Statistics Some Statistical Terms Page 4 Statistics Introduction to Statistics Some Statistical Terms 1.) Data is any quantitative or qualitative information. a.) Quantitative data refers to numerical information obtained from counting or measuring that which be manipulated by any fundamental operation. Examples: age, I.Q. scores, height, weight, income Page 5 Statistics Introduction to Statistics Some Statistical Terms 1.) Data is any quantitative or qualitative information. a.) Quantitative data refers to numerical information obtained from counting or measuring that which be manipulated by any fundamental operation. Examples: age, I.Q. scores, height, weight, income b.) Qualitative data refers to descriptive attributes that cannot be subjected to mathematical operations. Examples: gender, citizenship, educational attainment, religionRead More
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FAQs on PPT - History and Development of Statistics - Business Mathematics and Statistics - B Com
| 1. What is the history of statistics? |  |
Ans. The history of statistics can be traced back to ancient civilizations such as Babylon, Egypt, and Greece, where numerical data was used for administrative purposes. However, the formal development of statistics as a field of study began in the 17th century with the works of mathematicians like Blaise Pascal and Pierre-Simon Laplace.
| 2. How has statistics evolved over time? | |
Ans. Statistics has evolved significantly over time. Initially, it was primarily used for collecting and analyzing data for administrative purposes. However, with advancements in mathematics and technology, statistics has become a crucial tool in various fields such as economics, social sciences, medicine, and engineering. It has also evolved to encompass a wide range of statistical methods and techniques for data analysis.
| 3. What are the key milestones in the development of statistics? | |
Ans. Some key milestones in the development of statistics include the introduction of probability theory by mathematicians like Jacob Bernoulli and Thomas Bayes, the development of statistical inference by Ronald Fisher and Jerzy Neyman, and the advancements in computer technology that have revolutionized data analysis and statistical modeling.
| 4. How does the development of statistics impact society? | |
Ans. The development of statistics has had a significant impact on society. It plays a crucial role in decision-making processes in various sectors, including government, business, healthcare, and education. Statistics helps in understanding trends, making predictions, evaluating policies, and assessing risks. It also enables researchers to draw meaningful conclusions from data and provides a basis for evidence-based decision making.
| 5. What is the relevance of studying the history of statistics in the present day? | |
Ans. Studying the history of statistics helps us understand the evolution of statistical concepts, methods, and theories. It provides insights into how statistical techniques have developed over time and the rationale behind their adoption. This knowledge is valuable for practitioners and researchers in statistics as it allows them to build upon the work of previous statisticians and develop more effective and efficient statistical approaches. Additionally, understanding the historical context helps in avoiding the repetition of past mistakes in statistical analysis.
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