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lesson 1

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  • Well data is raw information from which statistics is created , so would use statistics to analyze it by graphing the data to better understand it. 
  • What are we going to do with all this data?
  • Ok so according to the sample, In 2000, approximately 0.02137 the U.S. population suffered from the flu in this census.
  • What does the sample say again?
  • You should use a random number generator for your source of the data!
  • How can we be sure the random selection will give us accurate results? How can it be the right sampling method to use?
  • We will just use practical significance to see the amount that is large enough to make a claim. This will prove if it has statistical significance.
  • Yes, that is using the context of the data
  • What if they made a survey asking for people to respond to if they knew a person with the flu, to see what the average would be?
  •  The people have to respond so this would be considered a voluntary response. Some volunteers might make there number too big and would be inaccurate based on bias.
  • So there can be many conclusions based on real life practical implications?
  • Yes, you can connect clues from a real life scenario using different charts to understand them.
  • Now we have a better understanding of what to do with data!
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