The Chicago Board of Trade has the prices. Other sites, including tradingeconomics, show prices from the past thirty years or so.
Perhaps you mean "Why are historical interpretations subject to change?" and the answer is of course because they are interpretations. History is not alone about recording facts, but also about seeing those facts in context, and as a part of a process leading toward future events. It is also about deciding what is and what isn't a historical fact based on inferences from historical data. The analysis of historical datainvolves interpreting it, and such interpretations involve the application of methodologies,prejudices and political agendas which change from time to time.
historical data of us crisis on indian stock markets
Historical writings, manuscripts, stellae (stone inscriptions), witness reports (when possible), official data (when possible), the media of the day (if any), archaeological finds, even written and oral literature (i.e. myths and legends).
Normal application testing talks about the testing the application functionality, but Data centric testing talks about the testing/validating the data. Basically when an organization wants to develop a datawarehouse for storing historical data, to support business decisions process, organizations take the daily transations data and do lot of transformations to the data. In the process of transformations we may loose some data, or possibility of errors. As a part of Data centric testing, we need to make sure all the data that is supposed to be loaded to Datawarehouse is correct as per the defined business rules. Please mail me on jagadish_happy18@yahoo.com if you need any training on ETL testing/ Data centric testing.
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Methods to predict future data based on historical records
Historical data concerning Ford Motor stock prices can be found on many finance-related websites. Some of these websites include Yahoo Finance and the official NASDAQ website.
The historical data method shows the time it actually took to complete a task. Such data have the advantages of being easy to collect, understand, and communicate, but they provide no information for future improvement.
This is true because the main concept of investment, especially the quantitative branch of investment, is to predict future returns based upon historical data.
They use historical data to predict what the weather will be like in the immediate future.
This forecasting model uses historical data to try to predict future events.
The art and science of predicting future events. Looking at historical data, and projection them in tot he future with some sort of mathematical model.
Yes, Critical evaluation of the historical data collected by scientist and other experts can help us predict the future of our planet
Advantages: Helps identify patterns and predict future trends, enables informed decision-making based on historical data, provides insights into business performance over time. Disadvantages: Relies on historical data that may not accurately reflect future outcomes, does not account for sudden or unexpected changes, may be influenced by outliers or anomalies in the data.
One definite drawback is that it is usually derived based on historical data and does not take into account future factors.
Historical stock prices can be found at the official NASDAQ website, at the Market Watch website and at EOD Data to name a few. Today, most websites that trade in stocks also have an option for viewing the histories of the various stocks they trade in.
Data on the length of life is used to create a statistical model of how long people live. That is used to determine the mortality tables which determine the insurance company's prices.