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Marat540 [252]
3 years ago
14

Someone please help

Mathematics
2 answers:
Julli [10]3 years ago
4 0

Step-by-step explanation:

Blue : red

4:6

800:1200

C should replace the star

Oksana_A [137]3 years ago
4 0

Answer:

star=1200

Step-by-step explanation:

4:6

800:?

800÷4

1=200

6=1200

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The answer you’re looking for is c 4.5 oz
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3 years ago
the temperature at the south pole was -39degree f at 8am. at 3pm it was 10degree f, by how many degrees did the temperature rise
natita [175]

Answer:

Step-by-step explanation: start at -39 degrees. You need to find how many degrees is between -39 and 10 degrees.

+39+10= 49 degrees risen

6 0
3 years ago
What is the length of the line segment shown on this coordinate grid?PLEASE HELP :-)
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 The line is 4 units in length.
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3 years ago
Which expression is equivalent to 8/15?<br> A. 8÷1/5<br> B. 8÷15<br> C. 15÷1/8<br> D. 15÷8
Eddi Din [679]

Answer:B

Step-by-step explanation:

3 0
3 years ago
A simple random sample of size nequals10 is obtained from a population with muequals68 and sigmaequals15. ​(a) What must be true
valentina_108 [34]

Answer:

(a) The distribution of the sample mean (\bar x) is <em>N</em> (68, 4.74²).

(b) The value of P(\bar X is 0.7642.

(c) The value of P(\bar X\geq 69.1) is 0.3670.

Step-by-step explanation:

A random sample of size <em>n</em> = 10 is selected from a population.

Let the population be made up of the random variable <em>X</em>.

The mean and standard deviation of <em>X</em> are:

\mu=68\\\sigma=15

(a)

According to the Central Limit Theorem if we have a population with mean <em>μ</em> and standard deviation <em>σ</em> and we take appropriately huge random samples (<em>n</em> ≥ 30) from the population with replacement, then the distribution of the sample mean will be approximately normally distributed.

Since the sample selected is not large, i.e. <em>n</em> = 10 < 30, for the distribution of the sample mean will be approximately normally distributed, the population from which the sample is selected must be normally distributed.

Then, the mean of the distribution of the sample mean is given by,

\mu_{\bar x}=\mu=68

And the standard deviation of the distribution of the sample mean is given by,

\sigma_{\bar x}=\frac{\sigma}{\sqrt{n}}=\frac{15}{\sqrt{10}}=4.74

Thus, the distribution of the sample mean (\bar x) is <em>N</em> (68, 4.74²).

(b)

Compute the value of P(\bar X as follows:

P(\bar X

                    =P(Z

*Use a <em>z</em>-table for the probability.

Thus, the value of P(\bar X is 0.7642.

(c)

Compute the value of P(\bar X\geq 69.1) as follows:

Apply continuity correction as follows:

P(\bar X\geq 69.1)=P(\bar X> 69.1+0.5)

                    =P(\bar X>69.6)

                    =P(\frac{\bar X-\mu_{\bar x}}{\sigma_{\bar x}}>\frac{69.6-68}{4.74})

                    =P(Z>0.34)\\=1-P(Z

Thus, the value of P(\bar X\geq 69.1) is 0.3670.

7 0
4 years ago
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