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Quota Problem: Archaeology An archaeological excavation at
Chapter , Problem 14(choose chapter or problem)
Quota Problem: Archaeology An archaeological excavation at Burnt Mesa Pueblo showed that about 10% of the flaked stone objects were finished arrow points (Source: Bandelier Archaeological Excavation Project: Summer 1990 Excavations at Burnt Mesa Pueblo, edited by Kohler, Washington State University). How many flaked stone objects need to be found to be 90% sure that at least one is a finished arrow point? (Hint: Use a calculator and note that is equivalent to 1 P(0) 0.90, or P(0) 0.10.)
Questions & Answers
QUESTION:
Quota Problem: Archaeology An archaeological excavation at Burnt Mesa Pueblo showed that about 10% of the flaked stone objects were finished arrow points (Source: Bandelier Archaeological Excavation Project: Summer 1990 Excavations at Burnt Mesa Pueblo, edited by Kohler, Washington State University). How many flaked stone objects need to be found to be 90% sure that at least one is a finished arrow point? (Hint: Use a calculator and note that is equivalent to 1 P(0) 0.90, or P(0) 0.10.)
ANSWER:Problem 14
Quota Problem: Archaeology An archaeological excavation at Burnt Mesa Pueblo showed that about 10% of the flaked stone objects were finished arrow points (Source: Bandelier Archaeological Excavation Project: Summer 1990 Excavations at Burnt Mesa Pueblo, edited by Kohler, Washington State University). How many flaked stone objects need to be found to be 90% sure that at least one is a finished arrow point? (Hint: Use a calculator and note that is equivalent to , or .)
Step by step solution
Step 1 of 2
It’s given that an archaeological excavation at Burnt Mesa Pueblo showed that about 10% of the flaked stone objects were finished arrow points, ie;
We need to determine the minimum sample size needed such that the mean is greater than 1.
……………………..(1)
We know that the mean of a binomial distribution is the product of the number of trials and the probability of success, ie;
number of trials =
probability of success =
we can write (1) as,
(substituting the value of )
(dividing each side by 0.10 ).
So the sample size needs to be at least 10.