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Archy [21]
3 years ago
9

SOMEBODY PLEASE HELP ME WITH THIS!!!

Mathematics
2 answers:
mamaluj [8]3 years ago
5 0

More than means addition. Same as means equal to.


The equation would be: g + 312 = 200

inn [45]3 years ago
3 0

g+312 = 200 is how the equation is written


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1. The backdrop of the altar in a church is triangular in shape. It has a base of 10.5 meters
FrozenT [24]

Answer:

#1

<u>Area of triangle backdrop:</u>

  • A = 1/2bh = 1/2(10.5)(8.5) = 44.63 m²

<u>Area of the cloth:</u>

  • A = 4.5*4 = 18 m²

<u>Uncovered area:</u>

  • 44.63  - 18 = 26.63 m²

Choice A

#2

<u>Area of the cut piece:</u>

  • A = πr² = 3.14*7.6² = 181.37 cm²

<u>Area of the square piece:</u>

  • A= a² = 34² = 1156 cm²

<u>Remaining piece is:</u>

  • 1156 - 181.37 = 974.63 cm²

Choice B

8 0
2 years ago
Parts being manufactured at a plant are supposed to weigh 65 grams. Suppose the distribution of weights has a Normal distributio
andrew-mc [135]

Answer:

0.64%.

Step-by-step explanation:

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

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, 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 normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Mean of 75 grams and a standard deviation of 22 grams.

This means that \mu = 75, \sigma = 22

Sample of 144:

This means that n = 144, s = \frac{22}{\sqrt{144}} = 1.8333

More than 80 or less than 70:

Both are the same distance from the mean, so we find one probability and multiply by 2.

The probability that it is less than 70 is the pvalue of Z when X = 70. So

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

By the Central Limit Theorem

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

Z = \frac{70 - 75}{1.8333}

Z = -2.73

Z = -2.73 has a pvalue of 0.0032

2*0.0032 = 0.0064.

0.0064*100% = 0.64%

The probability is 0.64%.

3 0
3 years ago
an architect created a scale model of a building. the length of the model is 15 inches. the scale factor used to create the mode
navik [9.2K]
The length of  model is ......15 inch
if the scale factor is 1/20
it means 1/20=15/h
h=12*15=300
4 0
3 years ago
memo is one year older than twice tecatito's age if the sum of their ages is 52 years, how old are both of them​
ch4aika [34]

Answer: Memo would be 35 and Tecatito would be 17

Explanation:

17 + (17x2 +1) =52

17 + 35 = 52

Hope this helps!

4 0
3 years ago
X y
Strike441 [17]

Answer:

1

Step-by-step explanation:

3-1=2

2-1=1

1-1=0

From this we can see that the constant rate of change is 1.

Hope it helps <3

6 0
3 years ago
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