Mathematics: Suppose y₁, [tex]y_n[/tex] are normally distributed with e([tex]y_i[/tex]) = µ, var([tex]y_i[/tex) = σ 2 , cov([tex]y_i[/tex , [tex]y_j[/tex ) = rhoσ². define y¯ = 1 n [tex]p_n[/tex] i=1 [tex]y_i[/tex and s₂ = 1 n−1 [tex]p_n[/tex] i=1([tex]y_i[/tex − y¯ )². are y , s ¯ 2 independent? is s 2 an unbiased estimator of σ²?

daisyyy12

18.01.2020 •

Mathematics

Suppose y₁, $y_n$ are normally distributed with e( $y_i$ ) = µ, var( $y_i[/tex) = σ 2 , cov([tex]y_i[/tex , [tex]y_j[/tex ) = rhoσ². br / define y¯ = 1 n [tex]p_n$ i=1 $y_i[/tex and s₂ = 1 n−1 [tex]p_n$ i=1([tex]y_i[/tex − y¯ )².
are y , s ¯ 2 independent?
is s 2 an unbiased estimator of σ²?

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leapfroggiez

23.06.2022

Mathematics

The rate of descent is (1st picture's place)

Step-by-step explanation:

we know that

The formula to calculate the rate or slope between two points is equal to

Let

x------> the time in minutes

y----> the elevation in feet

we have

Substitute the values

*Note only the first picture worked*

A hot alr balloon went from an elevation of 4,213 feet to an elevation of 3,443 feet In 28 minutes.

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Suppose y₁, are normally distributed with e() = µ, var( i=1 i=1([tex]y_i[/tex − y¯ )². are y , s ¯ 2 independent? is s 2 an unbiased estimator of σ²?

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