Researchers want to know what proportion of a certain type of tree growing in a
ID: 3152135 • Letter: R
Question
Researchers want to know what proportion of a certain type of tree growing in a national forest suffers from a disease. They test a representative sample of 200 of the trees from around the forest and find that 15 of them have the disease.
a) What information was obtained for each individual tree? Is this nformation categorical or quantitiative?
b) Which of the five parameters given in Table 13.3 is or are appropriate for this situation? Give the paramter(s) in symbols, and define what the symbol(s) represent in the context of the situation.
Chapter CH13 Problem: 70E' show all steps home /study/math /statistics and probability Isolutions manual /mind on statistics /5th edition / chapter 13/ problem 70e Question: Researchers want to know what proportion of a certain type of tree growing in a national forest suffers from a disease. They test a representative sample of 200 of the trees from around the forest and find that 15 of them have the disease CH13 69E CH13 71E a. What information was obtained for each individual tree? Is this information categorical or quantitative? b. Which of the five parameters given in Table 13.3 (p. 538) is or are appropriate for this situation? Give the parameter(s) in symbols, and define what the symbol(s) represent in the context of the situation c. Explain whether a confidence interval, a hypothesis test, or both would be more appropriate Reference Table 13.3 Parameters and Types of Data Used for Inferences about Them Variable Type (Parameter Type) One Sample Paired Two Independent (No Pairing) Data Samples None Categorical (Proportions) Quantitative (Means) Pi-P2 We don't have the solution to this problem yet Get help from a Chegg subject expert. Ask an expertExplanation / Answer
a) Whether the tree is diseased or disease free. This information is categorical, say Disease: 15 disease free: 185.
b) Categorical, -1sample proportion (no pairing), p
c) Since, sample proporttion is knwon, confidence interval is appropriate to derive conclusion.
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