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N76 [4]
3 years ago
5

Please see the picture and answer what does a= b=

Mathematics
1 answer:
Alexandra [31]3 years ago
4 0

Answer:

A=30 B=60......…...............

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PLEASE HELP! I WILL GIVE YOU BRAINLIEST! Peter walked around a park three times. How many miles did he walk?
forsale [732]

Answer:

20.7 miles

Step-by-step explanation:

1 + 2 = 3

1.6 + 2.3 = 3.9

3.9 + 3 = 6.9

6.9 x 3 = 20.7

3 0
2 years ago
juliet school collected 480 can food last month witch represented 80 percent of rheir goal. What is the toatal of her goal? PLEA
Dmitriy789 [7]

Answer: 600 canned foods was the total.

Step-by-step explanation: We need to find out what‘s 100% of 480. Since 480 canned foods is 80%, we can divide 480 by 8 which gives us 60. Aka 60 canned foods = 10%. Now, we multiply 60 by 10 which gives us 600. Hope this helps!

3 0
2 years ago
A large purple bowl contains 5 blue marbles and 3 pink marbles. What is the probability a blue marble is drawn, replaced, and a
Blizzard [7]

Answer:

\frac{25}{64}

Step-by-step explanation:

Blue Marbles =5

Pink Marbles =3

Total =3+5=8

Probability of drawing two marbles with replacement

=P(First Blue Marble AND Second Blue Marble)

=P(First Blue Marble) X P(Second Blue Marble)

=\frac{5}{8}X \frac{5}{8}\\\\=\frac{25}{64}

3 0
2 years ago
There are 3.9 milligrams of calcium in a ½ ounce of cooked chicken. How many milligrams are in 6 ounces?
snow_tiger [21]

Answer:

there are 46.80 milligrams in 6 ounces.

Step-by-step explanation:

3 0
3 years ago
Suppose that the population mean for income is $50,000, while the population standard deviation is 25,000. If we select a random
Fudgin [204]

Answer:

Probability that the sample will have a mean that is greater than $52,000 is 0.0057.

Step-by-step explanation:

We are given that the population mean for income is $50,000, while the population standard deviation is 25,000.

We select a random sample of 1,000 people.

<em>Let </em>\bar X<em> = sample mean</em>

The z-score probability distribution for sample mean is given by;

               Z = \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }  ~ N(0,1)

where, \mu = population mean = $50,000

            \sigma = population standard deviation = $25,000

            n = sample of people = 1,000

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

So, probability that the sample will have a mean that is greater than $52,000 is given by = P(\bar X > $52,000)

  P(\bar X > $52,000) = P( \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } } > \frac{52,000-50,000}{\frac{25,000}{\sqrt{1,000} } } ) = P(Z > 2.53) = 1 - P(Z \leq 2.53)

                                                                    = 1 - 0.9943 = 0.0057

<em>Now, in the z table the P(Z </em>\leq<em> x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 2.53 in the z table which has an area of 0.9943.</em>

Therefore, probability that the sample will have a mean that is greater than $52,000 is 0.0057.

5 0
2 years ago
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