TheIncognateo

11.02.2020 • 

Mathematics

Suppose that X1, X2,..., Xn are i.i.d, N(μ, δ²) and μ and δ² are estimated by the method of maximum likelihood, with resulting estimates μ_hat and δ²_hat. Suppose the bootstrap is used to estimate the sampling distribution of μ_hat.

a. Explain why the boostrap estimate of the distribution of μ_hat is N(μ_hat, δ²_hat/n)

b. Explain why the bootstrap estimate of the distribution of μ_hat -μ is N(0, δ²_hat/n)

c. According to the result of the previous part, what is the form of the boostrap confidence interval for μ , and how does it compare to the exact confidence interval based on the t distribution?

Ответ:

cabreradesirae4807

16.04.2023

Mathematics

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B. 57°F

Step-by-step explanation:

Given:

F = n/4 + 37

Where,

F = temperature in degrees Fahrenheit

n = number of times per minute crickets chirps

Find F when n = 80

F = n/4 + 37

F = 80/4 + 37

= 20 + 37

= 57

F = 57 °F

B. 57 °F

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