Allen's hummingbird (Selasphorus sasin) has been studied by zoologist Bill Alther.† Suppose a small group of 16 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 = 0.24 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.)
σ is known
uniform distribution of weights
normal distribution of weights
σ is unknown
n is large
(c) Interpret your results in the context of this problem.
The probability that this interval contains the true average weight of Allen's hummingbirds is 0.20.
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 to the true average weight of Allen's hummingbirds is equal to the sample mean.
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 that this interval contains the true average weight of Allen's hummingbirds is 0.80.
(d) Find the sample size necessary for an 80% confidence level with
a maximal margin of error E = 0.13 for the mean weights of
the hummingbirds. (Round up to the nearest whole number.)
hummingbirds
a)
sample mean, xbar = 3.15
standard deviation, sigma = 0.24
sample size, n = 16
For 80% Confidence level, the z-value = 1.28
CI = (xbar - z*sigma/sqrt(n), xbar + z*sigma/sqrt(n))
CI = (3.15 - 1.28 * 0.24/sqrt(16) , 3.15 + 1.28 *
0.24/sqrt(16))
CI = (3.07 , 3.23)
Lower limit = 3.07
upper limit = 3.23
ME = 0.08
b)
σ is known
normal distribution of weights
c)
The probability that this interval contains the true average weight
of Allen's hummingbirds is 0.80.
d)
Population standard deviation, sigma = 0.24
Margin of Error, ME = 0.13
For 0.8 Confidence level, the z-value = 1.28
Sample size, n = (z*sigma/ME)^2
n = (1.28 * 0.24 / 0.13 )^2
n = 5.58
Rounding to the nearest integer
n = 6
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