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Setler79 [48]
3 years ago
7

PLEASE HELPP BRAINLIST!

Mathematics
1 answer:
NISA [10]3 years ago
8 0

Answer:

What grade is this???

Step-by-step explanation:

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The coefficient of xy in the product of (4x2 + 2y) and (3x + y2) is
dedylja [7]
(4x2 + 2y)(3x+y^2)

= 12x^3 + 4x^2y^2 + 6xy + 2y^3

coefficient of xy is ----> 6
8 0
4 years ago
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If nico spends $5.76 on tomatoes,how many pounds did he purchase?
tia_tia [17]

The amount of in pound of tomatoes purchased is \frac{5.76}{p}

To obtain the number of pounds of tomatoes purchased :

  • Let the price per pound of tomato = p

The Number of tomatoes purchased equals :

  • Total amount spent ÷ price per pound

Therefore, the Number of tomatoes purchased will be :

  • 5.76 ÷ p

The Number of pounds of tomatoes purchased = \frac{5.76}{p}

Learn more :brainly.com/question/18109354

4 0
3 years ago
Who ever gets this wright first gets a thanks!
melisa1 [442]
Your answer is 15, if you need help to figure out how I did that let me know.

4 0
3 years ago
Exhibit 6-5 The weight of items produced by a machine is normally distributed with a mean of 8 ounces and a standard deviation o
hjlf

Answer:

46.18% of the items will weigh between 6.4 and 8.9 ounces.

Step-by-step explanation:

We are given that the weight of items produced by a machine is normally distributed with a mean of 8 ounces and a standard deviation of 2 ounces.

<em>Let X =  weight of items produced by a machine</em>

The z-score probability distribution for is given by;

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

where, \mu = mean weight = 8 ounces

            \sigma = standard deviation = 2 ounces

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, percentage of items that will weigh between 6.4 and 8.9 ounces is given by = P(6.4 < X < 8.9) = P(X < 8.9 ounces) - P(X \leq 6.4 ounces)

   P(X < 8.9) = P( \frac{  X -\mu}{\sigma} < \frac{  8.9-8}{2} ) = P(Z < 0.45) = 0.67364  {using z table}

   P(X \leq 70) = P( \frac{  X -\mu}{\sigma} \leq \frac{  6.4-8}{2} ) = P(Z \leq -0.80) = 1 - P(Z < 0.80)

                                                 = 1 - 0.78814 = 0.21186

<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 = 0.45 and x = 0.80 in the z table which has an area of </em>0.67364<em> and </em>0.78814<em> respectively.</em>

Therefore, P(6.4 < X < 8.9) = 0.67364 - 0.21186 = 0.4618 or 46.18%

<em>Hence, 46.18% of the items will weigh between 6.4 and 8.9 ounces.</em>

8 0
4 years ago
Which angle is an adjacent interior angle?
Vanyuwa [196]
4 is exterior and 3 is adherent interior angle to angle 4. Adjacent angles are two angles that have a common vertex and a common side but do not overlap. In this case common vertex is N. Common side is LN. Good luck.
7 0
3 years ago
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