Allen's hummingbird (Selasphorus sasin) has been studied by zoologist Bill Alther.† Suppose a small group of 19 Allen's hummingbirds has been under study in Arizona. The average weight for these birds is x = 3.15 grams. Based on previous studies, we can assume that the weights of Allen's hummingbirds have a normal distribution, with σ = 0.32 gram.
(a) Find an 80% confidence interval for the average weights of Allen's hummingbirds in the study region. What is the margin of error? (Round your answers to two decimal places.)
lower limit | |
upper limit | |
margin of error |
(b) What conditions are necessary for your calculations? (Select
all that apply.)
normal distribution of weightsσ is knownuniform distribution of weightsn is largeσ is unknown
(c) Interpret your results in the context of this problem.
There is a 20% chance that the interval is one of the intervals containing the true average weight of Allen's hummingbirds in this region.The probability that this interval contains the true average weight of Allen's hummingbirds is 0.80. There is an 80% chance that the interval is one of the intervals containing the true average weight of Allen's hummingbirds in this region.The probability to the true average weight of Allen's hummingbirds is equal to the sample mean.The probability that this interval contains the true average weight of Allen's hummingbirds is 0.20.
(d) Find the sample size necessary for an 80% confidence level with
a maximal margin of error E = 0.06 for the mean weights of
the hummingbirds. (Round up to the nearest whole number.)
hummingbirds
Given:
Mean, = 3.15 grams
SD, = 0.32 grams
Sample size, n = 19
(a) Corresponding to 80% confidence interval, the critical z value = 1.282
Margin of error , E = = = 0.094
lower limit = = 3.056 ≈ 3.06 grams
upper limit = = 3.244 ≈ 3.24 grams
Margin of error = 0.09
(b) The conditions necessary for calculation are:
Normal distribution of weights
is known
(c) Interpretation:
The probability that this interval contains the true average weight of
Allen's hummingbirds is 0.80
(d) Let the required sample size be n
We should have E ≤ 0.06
-> = ≤ 0.06
-> n ≥ 46.75
Thus, the sample size of 47 is necessary for the required condition to be met
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