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Andreas93 [3]
2 years ago
14

6 x 2 7 x 2 8 x 2 3 x 3

Mathematics
1 answer:
Semenov [28]2 years ago
6 0

6 \times 27 \times 28 \times 23 \times 3 = 312984

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Which of the following rational numbers is equal to 2 point 4 with bar over 4? twenty two over nine twenty four over nine twenty
qaws [65]

Answer:

Twenty two over nine.

Step-by-step explanation:

The bar over the 4 means that 4 is recurring .44444.........  It goes on with out bounds and is equal to 4/9.

So 2.4 = 2 4/9

= 22/9.

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3 years ago
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Figure EFGH on the grid below represents a trapezoidal plate at its starting position on a rotating platform:
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Answer: A is correct

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Can somebody please help​
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A crop scientist is conducting research with a drought resistant corn hybrid. She is interested in determining if increasing the
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A , B and E.

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3 0
3 years ago
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According to a study conducted in one​ city, 25​% of adults in the city have credit card debts of more than​ $2000. A simple ran
Anvisha [2.4K]

Answer:

The sampling distribution of \hat p is <em>N</em> (0.25, 0.0354²).

Step-by-step explanation:

According to the Central limit theorem, if from an unknown population large samples of sizes <em>n</em> > 30, are selected and the sample proportion for each sample is computed then the sampling distribution of sample proportion follows a Normal distribution.

The mean of this sampling distribution of sample proportion is:

 \mu_{\hat p}=p

The standard deviation of this sampling distribution of sample proportion is:

 \sigma_{\hat p}=\sqrt{\frac{p(1-p)}{n}}

Let <em>p</em> = proportion of adults in the city having credit card debts of more than​ $2000.

It is provided that the proportion of adults in the city having credit card debts of more than​ $2000 is, <em>p</em> = 0.25.

A random sample of size <em>n</em> = 150 is selected from the city.

Since <em>n</em> = 150 > 30 the Central limit theorem can be used to approximate the distribution of <em>p</em> by the Normal distribution.

The mean is:

\mu_{\hat p}=p=0.25

The standard deviation is:

\sigma_{\hat p}=\sqrt{\frac{p(1-p)}{n}}=\sqrt{\frac{0.25(1-0.25)}{150}}=0.0354

Thus, the sampling distribution of \hat p is <em>N</em> (0.25, 0.0354²).

3 0
3 years ago
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