The importance of the 5 W's is that it helps you identify useful information. They give context to the data which helps identify the use of the data. Without context, the data would be useless. The 'who' and the 'what' are typically the most important in providing context for data.
An article that has the 5 W's is http://www.naturalnews.com/020920_junk_food_marketing_nutrition.html
The 5 W's:
Who- Young Children
What- are being portrayed unhealthy messages that causes them to have bad nutrition
When- When they watch T.V.
Where- the commercials played on T.V. in between children shows
Why- The unhealthy food items are being portrayed because the of the food items companies want to create brand loyalty in children while they are young
How- it creates bad nutrition in children because the unhealthy food items cause the children to have bad eating habits, which later on in life creates poor nutrition
Thursday, August 30, 2012
Tuesday, August 28, 2012
What I think about Statistics so far
Statistics so far has been a good experience. I have liked the activities we have done so far in class. I thought the survival activity was interesting because we got to calculate whether we had a good chance at surviving or not. I like how statistics can have different viewpoints from the different ways that someone may interpret the data.
Saturday, August 25, 2012
Survival Activity
Over the past two days we completed a survival activity. We rated, by ourselves, 11 items in order from most important to least important if we were to be in a plane crash and land in Northern Canada where it is very cold. We then then collaborated with a group and then ranked the items again. Then we saw the whole class's rankings and then we calculated some statistics on all of the data we had. Then we learned how an expert on survival ranked the items. Finally, we calculated the absolute value difference of our own rankings to the army ranger rankings. Then did the same thing with our group's rankings and the army ranger's rankings.
I predict that my group would have had a good chance at survival. I think this because the mean of our absolute value difference of 4.18. Considering the highest the mean of the absolute value difference could have been was 10.00, we would have had about a 59% chance of surviving.
I predict that i would have had a good chance at surviving. I predict this because the mean of my absolute value difference was 4.00. Considering the highest the mean of the absolute value difference could have been was 10.00, we would have had about a 60% chance of surviving.
I predict that my group would have had a good chance at survival. I think this because the mean of our absolute value difference of 4.18. Considering the highest the mean of the absolute value difference could have been was 10.00, we would have had about a 59% chance of surviving.
I predict that i would have had a good chance at surviving. I predict this because the mean of my absolute value difference was 4.00. Considering the highest the mean of the absolute value difference could have been was 10.00, we would have had about a 60% chance of surviving.
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