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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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