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Mkey [24]
3 years ago
11

Help me on this question please

Mathematics
1 answer:
ohaa [14]3 years ago
5 0

Answer:

the first one:)))

Step-by-step explanation:

8 soccer cards and 4 baseball cards in one box, 6 soccer cards and 3 baseball cards in another box

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Both expressions -3- (-7) and -7- (-3) involve the
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-3-(-7)=4 ,-7-(-3)=-4

Step-by-step explanation:

+ × += +

- × - = +

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The bases of a trapezoid are 24 cm
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Find the slope and y-intercept of the line in the graph:
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A box is formed by cutting squares from the four corners of a 9"-wide by 12"-long sheet of paper and folding up the sides.
koban [17]

Answer:

V(x) = 4x^3-42x^2  +108x

Step-by-step explanation:

We are given the following in the question:

Width of sheet = 9 inches

Length of sheet = 12 inches

A square of length x inches is cut from each corner of the sheet to form a box.

Thus, the dimension of the box formed is:

Height = x inches

Width =

9 - x-x = (9-2x)\text{ inches}

Length =

12 - x-x = (12-2x)\text{ inches}

Volume of box formed =

\text{Length}\times \text{Width}\times \text{Height}

Putting values, we get,

V(x) = (12-2x)(9-2x)x\\V(x) = (12-2x)(9x-2x^2)\\V(x) = 108x-24x^2-18x^2+4x^3\\V(x) = 4x^3-42x^2  +108x

is the required expression of volume of box in terms of x.

8 0
3 years ago
The mean weight of boxes shipped by a company is 12 lbs., with a standard deviation of 4 lbs. Assume weight of boxes follows Nor
777dan777 [17]

Answer:

0.89% probability that a palette of 10 boxes will exceed that limit (150 lbs.)

Step-by-step explanation:

To solve this question, we have to understand the normal probability distribution and the central limit theorem.

Normal probability distribution:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value 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. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central limit theorem:

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation, which is also called standard error s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 12, \sigma = 4, n = 10, s = \frac{4}{\sqrt{10}} = 1.2649

1. What’s the probability that a palette of 10 boxes will exceed that limit (150 lbs.)? a. HINT: Prob (total weight of a sample of 10 boxes >150 lbs.) = Prob (the sample mean weight ( y hat ) > 15 lbs.)

This is 1 subtracted by the pvalue of Z when X = 15. So

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{15 - 12}{1.2649}

Z = 2.37

Z = 2.37 has a pvalue of 0.9911

1 - 0.9911 = 0.0089

0.89% probability that a palette of 10 boxes will exceed that limit (150 lbs.)

6 0
4 years ago
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