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Maru [420]
3 years ago
15

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 likeli

hood ratio test will depend on the sufficient statistic.
Mathematics
1 answer:
7nadin3 [17]3 years ago
5 0

Answer:

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(Qi.....Qn) does not associate  the parameter . A case holds in the continuous case.

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Derek says that the quotient of -2/7 divided by -2/21 is -1/3. Part A: What is the correct quotient? Part B: What mistake did De
Thepotemich [5.8K]

Answer:

The correct quotient is 3.

I think Derek has mistaken to divide -\frac{2}{21} by \frac{2}{7}.

Step-by-step explanation:

We have to check the quotient of (-\frac{2}{7})  \textrm{ divided by }(-\frac{2}{21}).

Part A:

Now, (-\frac{2}{7})  \textrm{ divided by }(-\frac{2}{21}).

= \frac{-\frac{2}{7} }{-\frac{2}{21} } =3

So, the correct quotient is 3.

Part B:

Derek says that the quotient is -\frac{1}{3}.  

So, I think Derek has mistaken to divide -\frac{2}{21} by \frac{2}{7}. (Answer)

8 0
3 years ago
The graph of which function will contain the point(2,10)​
kotegsom [21]

Answer:

point (2 , 10)

Y= 5X

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10= 10

3 0
2 years ago
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My name is Ann [436]
Answer : C
Explanation:
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3 years ago
Jerome wrote the following scenario to match the algebraic expression s 4 − 16: “16 fewer than four times the number of songs on
Xelga [282]

Answer:

No, because the expression s/4 - 16. In the word formed she times 4 and the letter, she should have to dived it.

Step-by-step explanation:

No, because the expression s/4 - 16. In the word formed she times 4 and the letter, she should have to dived it.

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2 years ago
Read 2 more answers
if a lake has high alkalinity, what is closest to the probability that the lake also has a shallow depth?
never [62]

Answer:

0.22

Step-by-step explanation:

Probability distribution is the function which describes the likelihood of possible values assuming a random variable. The alkalinity of lake is determined by dividing the high shallow depthness by the total of lake alkalinity. The shallow depth is 209 and the total alkalinity of the lake is 966. By dividing the depthness with alkalinity we get 0.22.

209/966 = 0.219

approximately 0.22

8 0
3 years ago
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