In: Statistics and Probability
(1) Allen's hummingbird (Selasphorus sasin) has been studied by zoologist Bill Alther.† Suppose a small group of 11 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 = 0.28 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 |
(2) Allen's hummingbird (Selasphorus sasin) has been studied by zoologist Bill Alther.† Suppose a small group of 14 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 = 0.36 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 |
(3) 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 = 0.34 gram.
When finding an 80% confidence interval, what is the critical value for confidence level? (Give your answer to two decimal places.)
zc = ______
(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.)
- uniform distribution of weights
- normal distribution of weights
- n is large
- σ is known
- σ is unknown
Question 1
Part a)
Confidence Interval :-
X̅ ± Z( α /2) σ / √ ( n )
Z(α/2) = Z (0.2 /2) = 1.282
3.15 ± Z (0.2/2 ) * 0.28/√(11)
Lower Limit = 3.15 - Z(0.2/2) 0.28/√(11)
Lower Limit = 3.0418
Upper Limit = 3.15 + Z(0.2/2) 0.28/√(11)
Upper Limit = 3.2582
80% Confidence interval is ( 3.04 , 3.26 )
Margin of Error = Z (0.2/2 ) * 0.28/√(11) = 0.12
Question 2
Confidence Interval :-
X̅ ± Z( α /2) σ / √ ( n )
Z(α/2) = Z (0.2 /2) = 1.282
3.15 ± Z (0.2/2 ) * 0.36/√(14)
Lower Limit = 3.15 - Z(0.2/2) 0.36/√(14)
Lower Limit = 3.0267
Upper Limit = 3.15 + Z(0.2/2) 0.36/√(14)
Upper Limit = 3.2733
80% Confidence interval is ( 3.03 , 3.27 )
Margin of Error = Z (0.2/2 ) * 0.36/√(14) =
0.12
Question 3
Critical value Z(α/2) = Z (0.2 /2) = 1.28
Part a)
Confidence Interval :-
X̅ ± Z( α /2) σ / √ ( n )
Z(α/2) = Z (0.2 /2) = 1.282
3.15 ± Z (0.2/2 ) * 0.34/√(16)
Lower Limit = 3.15 - Z(0.2/2) 0.34/√(16)
Lower Limit = 3.041
Upper Limit = 3.15 + Z(0.2/2) 0.34/√(16)
Upper Limit = 3.259
80% Confidence interval is ( 3.041 , 3.26 )
Margin of Error = Z (0.2/2 ) * 0.34/√(16) = 0.11
Part b)
- normal distribution of weights
- σ is known