An article on the feeding ecology of certain types of birds presents the accompanying data on the variable X = the number of hops before the first flight and preceded by a flight. The author then proposed and fit a geometric probability distribution [P(x) = P(X = x) = p*-1. g for x = 1, 2, ..., where g = 1 - p) to the data. The total sample size was n = 125. 2 3 4 5 6 78 9 10 11 12 Number of Times x Observed 48 31 20 7 5 4 3 2 1 1 2 1 E* - n) (a) The likelihood is (p*1 -1. g) ..... (p*n-1. g) = px; -n.d". Show that the mle of p is given by p = Cx; -n) We wish to maximize pDx; -n.g° or (5x; - n) In Equating d/dp to 0 yields Solving for p results in p = Σ Compute p for the given data. (Round your answer to three decimal places.) (b) Estimate the expected cell counts using p of part (a) [expected cell counts = n. (p)* -1. ĝ for x = 1, 2, ...]. Combine the counts for x = 7, 8, ..., and 12 into one cell (x 2 7). (Round your answers to one decimal place.) 1 2 3 4 5 6 27 Observed Counts 48 31 20 7 5 4 10 Expected Counts Test the fit of the model using x2 test with a significance level of 0.05. Calculate the test statistic. (Round your answer to two decimal places.)
An article on the feeding ecology of certain types of birds presents the accompanying data on the variable X = the number of hops before the first flight and preceded by a flight. The author then proposed and fit a geometric probability distribution [P(x) = P(X = x) = p*-1. g for x = 1, 2, ..., where g = 1 - p) to the data. The total sample size was n = 125. 2 3 4 5 6 78 9 10 11 12 Number of Times x Observed 48 31 20 7 5 4 3 2 1 1 2 1 E* - n) (a) The likelihood is (p*1 -1. g) ..... (p*n-1. g) = px; -n.d". Show that the mle of p is given by p = Cx; -n) We wish to maximize pDx; -n.g° or (5x; - n) In Equating d/dp to 0 yields Solving for p results in p = Σ Compute p for the given data. (Round your answer to three decimal places.) (b) Estimate the expected cell counts using p of part (a) [expected cell counts = n. (p)* -1. ĝ for x = 1, 2, ...]. Combine the counts for x = 7, 8, ..., and 12 into one cell (x 2 7). (Round your answers to one decimal place.) 1 2 3 4 5 6 27 Observed Counts 48 31 20 7 5 4 10 Expected Counts Test the fit of the model using x2 test with a significance level of 0.05. Calculate the test statistic. (Round your answer to two decimal places.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
3
![An article on the feeding ecology of certain types of birds presents the accompanying data on the variable X = the number of hops before the first flight and preceded by a flight. The author then proposed and fit a geometric probability
distribution [p(x) = P(X = x) = p*-. q for x = 1, 2, ..., where q = 1 - p] to the data. The total sample size was n = 125.
1
2
3 4
5 6 7 8 9 10 11
12
Number
of Times x
Observed
48 31 20 7 5 4 3 2 1 1 2 1
(Ex-)
Σ
(a) The likelihood is (p*1 -1. g) . ...
(p*n°
a) = pEX; -n . g". Show that the mle of p is given by p =
(E*- ^)
(E*; - ^).
We wish
to maximize pX; -n. g"
or
Equating d/dp to 0 yields
Solving for p results in p =
X; -
Compute p for the given data. (Round your answer to three decimal places.)
=
(b) Estimate the expected cell counts using p of part (a) [expected cell counts = n· (p)*
· â for x = 1, 2, ...]. Combine the counts for x = 7, 8, ..., and 12 into one cell (x 2 7). (Round your answers to one decimal place.)
1
2
3
4
6.
2 7
Observed
Counts
48
31
20
7
4
10
Expected
Counts
Test the fit of the model using a x? test with a significance level of 0.05.
Calculate the test statistic. (Round your answer to two decimal places.)
x2 =](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc32d262b-ed65-43de-a001-2eb692ff64f8%2Ffa563f4d-7099-4eb5-b923-43c9d43a0dbb%2Fbkaocflh_processed.png&w=3840&q=75)
Transcribed Image Text:An article on the feeding ecology of certain types of birds presents the accompanying data on the variable X = the number of hops before the first flight and preceded by a flight. The author then proposed and fit a geometric probability
distribution [p(x) = P(X = x) = p*-. q for x = 1, 2, ..., where q = 1 - p] to the data. The total sample size was n = 125.
1
2
3 4
5 6 7 8 9 10 11
12
Number
of Times x
Observed
48 31 20 7 5 4 3 2 1 1 2 1
(Ex-)
Σ
(a) The likelihood is (p*1 -1. g) . ...
(p*n°
a) = pEX; -n . g". Show that the mle of p is given by p =
(E*- ^)
(E*; - ^).
We wish
to maximize pX; -n. g"
or
Equating d/dp to 0 yields
Solving for p results in p =
X; -
Compute p for the given data. (Round your answer to three decimal places.)
=
(b) Estimate the expected cell counts using p of part (a) [expected cell counts = n· (p)*
· â for x = 1, 2, ...]. Combine the counts for x = 7, 8, ..., and 12 into one cell (x 2 7). (Round your answers to one decimal place.)
1
2
3
4
6.
2 7
Observed
Counts
48
31
20
7
4
10
Expected
Counts
Test the fit of the model using a x? test with a significance level of 0.05.
Calculate the test statistic. (Round your answer to two decimal places.)
x2 =
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