10 everyday reasons why statistics are important
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Statistics is used in many fields to analyze data and make predictions. It helps separate signals from noise. Examples given where statistics is used include stock markets, quality assurance, retail, insurance, political campaigns, genetic engineering, medical studies, weather forecasting, and emergency preparedness. The document emphasizes that an important reason to study statistics is to be better consumers of information and understand when data may be manipulated.
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10 everyday reasons why statistics are important
- 1. Where is Statistics Used, and Why Should We Study It? (Aside from sports!)
- 2. What is Statistics? •Statistics is the mathematics of collecting and analyzing data to draw conclusions and make predictions. •In essence, it can help us separate the ‘signal’ from the ‘noise’.
- 3. Where do we use Statistics? • Statistics is used everywhere, in just about any field you can think of. • On the following slides, I will give some examples, but this list is in no way complete or meant to be a representative sample… • …just some places where Statistics is used to get you thinking.
- 4. Stock Market and the Economy Stock Analysts use statistical computer models to forecast what is happening in the economy.
- 5. Quality Assurance • Companies make thousands of products every day and each company must make sure that a good quality item is sold. • However, a company cannot test each and every item that they ship. • Thus, a company uses statistics to test just a few, called a sample, of what they make. • If the sample passes quality tests, then the company assumes that all items made in the group, called a batch, are good.
- 6. Consumer Goods Retailers keep track of everything they sell and use statistics to calculate what to ship to each store, or warehouse, and when. From analyzing their vast store of information, Wal- Mart decided that people buy strawberry Pop Tarts when a hurricane is predicted in Florida… …so, they increase their shipment of this product to Florida stores based upon the weather forecast.
- 7. Insurance You know that in order to drive your care you are required by law to have car insurance; The rate that an insurance company charges you is based upon statistics from all drivers where you live.
- 8. Political Campaigns Candidates consult voter polls to determine where and how they campaign. News Organizations consult their models when they try to predict who the winner is.
- 9. Genetic Engineering Many people are afflicted with diseases that come from their genetic make- up and these diseases can be passed on to their children. Genetic Engineering offers the possibility of cures for disease and countless material improvements to daily life.
- 10. Medical Studies • Scientists must show a statistically valid rate of effectiveness before any drug can be prescribed. • Statistics are behind every medical study you hear about.
- 11. Predicting Disease • Often, statistics about disease are reported via various media. • If the report simply shows the number of people who have the disease or who have died from it, it’s an interesting fact but it might not mean much to your life. • When statistics become involved, you have a better idea of how that disease may affect you. • For example, studies have shown that 85 to 95 percent of lung cancers are smoking related. • The statistic should tell you that almost all lung cancers are related to smoking and that if you want to have a good chance of avoiding lung cancer, you shouldn’t smoke.
- 12. Weather Forecasts Do you watch the weather forecast sometime during the day (or look it up on an app/website?) Forecasters use statistics to create computer models to compare prior weather conditions with current weather to predict future weather.
- 13. Emergency Preparedness What happens if the forecast indicates that a hurricane is imminent or that tornadoes are likely to occur? Emergency management agencies move into high gear to be ready to rescue people. Emergency teams rely on statistics to tell them when danger may occur.
- 14. However, the most important reasons for you to take Statistics:
- 15. include recognizing when data is being manipulated.
- 16. Or, to understand why correlation does not imply causation.
- 17. Or, to understand why correlation does not imply causation.
- 18. Or, to understand why correlation does not imply causation.
- 19. Or, to simply be better consumers of information… So that you can have a better understanding of data that is being presented to you… allowing you to interpret and use the data… and allowing you to know when you are being manipulated… or misdirected.