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20. 10% of a random sample of tree seedlings are from coniferous trees. 80% of coniferous...

20. 10% of a random sample of tree seedlings are from coniferous trees. 80% of coniferous trees have thick bark. 9.6% of non-coniferous tree seedlings will also have thick bark. A tree seedling has thick bark. What is the probability that it is a coniferous tree?

21. 100 random college students were asked about their breakfast beverage preferences. 48 drink coffee. 28 drink orange juice. 24 drink apple juice. 18 drink orange juice and coffee. 15 drink apple juice and coffee. 8 drink apple and orange juice. 5 drink all three. How many did not drink a beverage?

22. 100 random college students were asked about their breakfast beverage preferences. 48 drink coffee. 28 drink orange juice. 24 drink apple juice. 18 drink orange juice and coffee. 15 drink apple juice and coffee. 8 drink apple and orange juice. 5 drink all three. How many students drink coffee, but not apple juice?

23. 100 random college students were asked about their breakfast beverage preferences. 48 drink coffee. 28 drink orange juice. 24 drink apple juice. 18 drink orange juice and coffee. 15 drink apple juice and coffee. 8 drink apple and orange juice. 5 drink all three. How many students drink coffee, but not orange juice?

24. A company that makes micropipettes produces an average of 12853 fixed-volume 1 mL pipettes per hour with a variance of 4230 pipettes. Find the probability that a randomly selected single hour load produced 12756.

25. A company that makes micropipettes produces an average of 12853 fixed-volume 1 mL pipettes per hour with a variance of 4230 pipettes. If X is the number of fixed-volume 1 mL pipettes produced in a randomly chosen hour, find the x where Pr(X> x) = 0.6293.

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