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Degger [83]
3 years ago
10

A bag contains white marbles and red marbles, 32 in total. The number of white marbles is 7 less than 2 times the number of red

marbles. How many white marbles are there?
Mathematics
1 answer:
andreyandreev [35.5K]3 years ago
4 0
The picture shows the answer when x is white marbles and y is red
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is x-1 taking away an x or adding an x?? im trying to find the perimeter of area tiles, and the perimeter is x + x + x + (x-1) +
Vanyuwa [196]

Answer:

4x + 2

Step-by-step explanation:

x - 1 is adding an x and subtracting a 1 ,so

x + x + x + (x - 1) + 1 + 1 + 1

= x + x + x + x - 1 + 1 + 1 + 1 ← collect like terms

= 4x + 2

3 0
2 years ago
4<br> Om obtuse, scalene<br> Obright, scalene<br> Oc, right, isosceles<br> Od, right, equilateral
harina [27]

Answer:

B

Step-by-step explanation:

B. right, scalene

3 0
2 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
3 years ago
Help me match them <br> hint: match story to diagram
mel-nik [20]

Answer:

The first story goes to C

The second story goes to B

The last story goes to A

Step-by-step explanation:

3 0
2 years ago
Read 2 more answers
A 100% increase followed by a 50% decrease
just olya [345]

Answer:

We end up with our original number

Step-by-step explanation:

Let x be our number

We increase by 100

increase = old number * 100%

increase = x*1

increase = x

New number = old number + increase

                       = x+x

                         =2x

Now we decrease by 50%

decrease = number *50%

                = 2x*.5

                =x

Final number = new number - decrease

                       = 2x-x

                         =x

4 0
3 years ago
Read 2 more answers
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