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otez555 [7]
4 years ago
15

Although, in general, you cannot know the sampling distribution of the sample mean exactly, by what distribution can you often a

pproximate it? ?
(A) Reverse J-shaped
(B) Normal
(C) J-shaped
(D) Uniform
Mathematics
1 answer:
Vitek1552 [10]4 years ago
4 0

Answer:

b: Normal Distribution

Step-by-step explanation:

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3 years ago
In the last election, a state representative received 52% of the votes cast. One year after the election, the representative org
butalik [34]

Answer:

The probability that more than half of the sample would vote for him is P=0.7549.

Step-by-step explanation:

With a sample size of n=300, we can approximate this to the normal distribution.

The parameters will be

\mu=p\cdot n=0.52\cdot 300=156\\\\\sigma=\sqrt{np(1-p)} =\sqrt{300\cdot 0.52(1-0.52)} =\sqrt{74.88}= 8.65

We have to calculate the probability that half or more of the sample vote for him. This is P(x>150).

To calculate this probability, first we calculate the z-value:

z=\frac{x-\mu}{\sigma}=\frac{150-156}{8.65}=\frac{-6}{8.65}=-0.69

Then

P(x>150)=P(z>-0.69)=0.7549

The probability that more than half of the sample would vote for him is P=0.7549.

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3 years ago
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Answer:

tan p = 5/12.

tan p = cot r.

Step-by-step explanation:

RQ = √(13^2 - 12^2)

= √25

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tan p = opposite side / adjacent side = 5/12.

cot r = adjacent side / opposite side = 5/12.

tan p = cot r.

8 0
4 years ago
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