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
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Author:Amos Gilat
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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 =
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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