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To begin, open Binomial distribution https://media.pearsoncmg.com/cmg/pmmg_mml_shared/animations/statistics/west_applets_HTML5/binomialdemo.html Set n=60 and p=0.167 . a) Set N=1 and click Simulate. This should result in a single bar appearing

To begin, open "Binomial distribution"

https://media.pearsoncmg.com/cmg/pmmg_mml_shared/animations/statistics/west_applets_HTML5/binomialdemo.html

Setn=60 andp=0.167.

a) SetN=1 and click "Simulate". This should result in a single bar appearing indicating the number of 6's that were rolled out of the 60 rolls. Roll the cursor over the bar to see how many successful "Outcomes" occurred.

How many 6's were rolled? Does this outcome seem unusual? Briefly explain

b) Click "Simulate" again. Again, a single bar should appear.

How many 6's were rolled this time? Does this outcome seem unusual? Briefly explain

c) Now, setN=10 and click "Simulate". (You just repeated the "roll a die 60 times" experiment 10 times.) This should result in multiple bars appearing, perhaps of varying heights. For each bar, the "Outcomes" is how many 6's (out of 60 rolls) were rolled and the "Count" is how many of the 10 repetitions of the experiment had that same outcome.

What was the fewest number of 6's rolled in these 10 repetitions of the experiment?

What was the greatest number of 6's rolled in in these 10 repetitions of the experiment?

What was the most common number of 6's rolled (if any) in the 10 repetitions of the experiment?No common numbers of 6's rolled? For how many of the 10 repetitions were that many 6's rolled?

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