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The Ice Chalet offers dozens of different beginning ice-skating classes. All of the class names are put into a bucket. The 5 P.M., Monday night, ages 8 - 12, beginning ice-skating class was picked. In that class were 64 girls and 16 boys. Suppose that we are interested in the true proportion of girls, ages 8 - 12, in all beginning ice-skating classes at the Ice Chalet. Assume that the children in the selected class is a random sample of the population.
What is being counted?
In words, define the Random Variable .
The number of girls, age 8-12, in the beginning ice skating class
Calculate the following:
State the estimated distribution of . ~
Define a new Random Variable . What is estimating?
In words, define the Random Variable .
The proportion of girls, age 8-12, in the beginning ice skating class.
State the estimated distribution of . ~
Construct a 92% Confidence Interval for the true proportion of girls in the age 8 - 12 beginning ice-skating classes at the Ice Chalet.
How much area is in both tails (combined)?
1 - 0.92 = 0.08
How much area is in each tail?
0.04
Calculate the following:
The 92% Confidence Interval is:
(0.72; 0.88)
In one complete sentence, explain what the interval means.
Using the same and level of confidence, suppose that n were increased to 100. Would the error bound become larger or smaller? How do you know?
Using the same and , how would the error bound change if the confidence level were increased to 98%? Why?
If you decreased the allowable error bound, why would the minimum sample size increase (keeping the same level of confidence)?
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