6.5.6. Suppose a sufficient statistic exists for the parameter θ. Use Theorem 5.6.1 to show that the critical region of a likelihood ratio test will depend on the sufficient statistic.

Firstly, the defined parameters are X, Q, P,g, h, b

Let X1 = Q1,……..Xn, = Qn be a random sample of size n from the discrete  Px

Step-by-step explanation:

Let X1 = Q1,……..Xn, = Qn be a random sample of size n from the discrete  Px (k;θ) The statistic θ= h(X1,..., Xn) is sufficient for if and only if there are functions g[h(Q1, Qn.);θ]and b(Q1 Qn)   such that L(θ) = g(h(Q1. ..., Qn); ) b(Qi, Qn)  where the function b(QiQn) does not associate  the parameter . A case holds in the continuous case.

-60.75

step-by-step explanation:

just add the numbers then put the negative sign on it

answer: 75°

step-by-step explanation:

∠esk is the supplement of ∠edk, so is 100°. ∠esd = 1/2·arc ed, so is 25°.

since ∠esk = ∠esd + ∠dsk

you have 100° = 25° + ∠dsk . .

fill in known values 75° = ∠dsk . . . . .

subtract 25°

step-by-step explanation: