Ted Ed Tuesday (02/16)

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Good Morning!

Watch this video on how statistics and data can be misleading.

Below, write a well written summary with a quote from the video to answer the question below. You may need to watch the video again to get the quote exactly correct. 

Which types of bias should we be aware of when analyzing statistics?

17 thoughts on “Ted Ed Tuesday (02/16)

  1. You should be aware that the statistics are correct and you might need to double check to make sure. You need to put the things that have been said and bad things that had been said. You have to pay attention to those little details. That little detail could ruin the whole thing.

  2. statistics can be misleading like in the first problem in the video. Options a looked better but they had more patients that were not that sick and option b had more really sick patients. Most people would choose option a but b was better because your likly to live if your really sick and if your not then it is very unlikely you would die

  3. You should be aware data because if one hospital has more deaths than the other it doesn’t mean that that hospital is bad you need to check the data for both so you or another family member doesn’t die you need to check the data for both places or things

  4. Today I wacthed somthing about statistics and data can be misleading.One bias was “for an elderly relatives surgery”. A bia meansa business impact analysis.You should be aware of statistics.

  5. We should be aware of the remaining variable. I know this becasue after it gave the whole hospital speech it said that the remaining variable was the thing that changed the orginal pick.

  6. You have to be aware that the majority of statistics are misleading and give the wrong information. “Simpsons Paradox pops up from time to time to give people misleading information” to change their opinion in someway .

  7. The video was about the Simpsons Paradox and the Paradox is all about and it is about organized data. and one of the ratios is when they are taking this old women to the hospital who is In critical condition and they are trying to figure out which hospital is better for the lady so they researched both hospitals and B was the best choice. He said that the Simpsons Parodox is when the same set of data can be wrong.

  8. When you are collecting data you should be sure to pay attention to all the details even if you think that they mean nothing because they probably can mane your data true or false. This said “Any set of statistics might have something lurking inside of it. Something that can turn results completely upside down.” We should be aware of Simpon’s Paradox.

  9. This is a common type of bias people need to be aware of, “Hospital A had 100 elderly patients arrive in poor health condition.” “Hospital B had 400 patients with poor health condition when they arrived while hospital A only saved 30/100, and using math 210/400 is a 52.5% survival rate for patients in poor condition when they arrive and hospital A has a 30% survival rate for patients in poor condition. People need to be aware of cases like this before they make these important decisions.

  10. What I have read about is wich hospital is better. Remember that not all of the pachents arrive at the same helfe. Is hospital is better A or B. The answer is A because a only 900 people died. Hospital B had 9000 died.

  11. People should be more aware of the data surrounding them. If your going to the hospital you would want the better hospital. You would have to look at the survival rate, and the rate of the people who died. “An analysis of Florida’s death penalty cases seemed to reveal no racial disparity in sentencing between black and white defendants convicted of murder”.

  12. Some data or statistics can be misleading. How is this possible you may ask, well it’s something called a Simpson’s Paradox. What does this exactly mean? It means that in a set of data there might be afact that is misunderstand, for example if you needed a hospital for a person, you have to chose between hospital A or hospital B. Both hospitals had 1000 people treated, hospital A had 900 survivors and hospital B had 800 survivors, you would chose hospital A right? Wrong! It also depends what health the person was at. Hospital A had 100 people with bad health and hospital B had 400 people with bad health. 30 people out of the 100 in hospital A survived and 210 out of 400 survived in hospital B. The reason hospital B had more people with bad health they had more deaths. In that is a simpson’s Paradox. The misleading part is that hospital A had less bad health people than Hospital B.

  13. What I learned today was witch hospital was better, A or B. A was better because it had less people who were sick that came in

  14. You have to be aware that the majority of statistics are misleading and give the wrong information. “Simpsons Paradox pops up from time to time to give people misleading information” to change their opinion in someway. For an example if you needed a hospital for a person, you have to chose between hospital A or hospital B. Both hospitals had 1000 people treated, hospital A had 900 survivors and hospital B had 800 survivors, you would chose hospital A right? Wrong! It also depends what health the person was at. Hospital A had 100 people with bad health and hospital B had 400 people with bad health. 30 people out of the 100 in hospital A survived and 210 out of 400 survived in hospital B. The reason hospital B had more people with bad health they had more deaths. In that is a simpson’s Paradox. The misleading part is that hospital A had less bad health people than Hospital B. I know it is confusing.

  15. “For example, imagine you need to choose between two hospitals for an elderly relative’s surgery. Out of each 1,000 patients 900 survived at hospital A, while only 800 survived at hospital B. So it looks like hospital A is the better choice but before you make the decision, remember that not all patients arrive at the hospital with the same health. And if we divide each hospital’s last 1,000 patients into those who arrived in good health and those who arrived in poor health, the picture starts to look very different. Hospital A had only 100 who arrived in poor health of wich 30 survived. But hospital B had and they 400 and they were able to save 210. So hospital B is the better choice, for patients who arrive at the hospital’s in poor health, with a survival rate of 52.5%. And what if your relative’s health was good when she arrives at the hospital? Strangely enough, hospital B is still the better choice, with a survival rate over 98%” http://ed.ted.com/lessons/how-statistics-can-be-misleading-mark-liddell#review quote

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