Will give BRAINLIEST!!! (the ones written in pink are incorrect)

Mathematics

1 answer:

Georgia [21]3 years ago

3 0

The first one is 11/5(dilating it with this will make it the same size as the bigger one)

The second on is Translate(translating it will show that they match up perfectly

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a square has the side measurment of s = 2 3 over 2 using the formula 1= s^2 find the area of the square

vitfil [10]

Check the picture below.

$\bf A=s^2\qquad s=2\frac{3}{2}\qquad A=\left( 2\frac{3}{2} \right)^2\implies A=\left( \frac{2\cdot 2+3}{2} \right)^2
\\\\\\
A=\left( \frac{7}{2} \right)^2\implies A=\cfrac{7^2}{2^2}\implies A=\cfrac{49}{4}\implies A=12\frac{1}{4}$

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2 years ago

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Nadusha1986 [10]

Answer:

The second chart has a greater rate of change compared to the equation presented.

Step-by-step explanation:

The first equation has a rate of change of 6. While the chart has a rate of change of 7.

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2 years ago

357 miles in 6.3 hours

FromTheMoon [43]

Speed: 357 miles : 6.3 hours = 357 : 63/10 = 357 * 10/63 = 3570/63 = 56 42/63 mph

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2 years ago

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Kisachek [45]

Answer: its A

Step-by-step explanation:i did the test

4 0

2 years ago

A filling machine fills bottles of nail polish with amounts that are normallydistributed with mean 18 mL and standard deviation

natulia [17]

Answer:

a. 0.2033 = 20.33% probability that one of the randomly selected bottles is filled with less than 17.5mL of nail polish

b. 0.0019 = 0.19% probability that the average fill of the twelve bottles is more than 17.5mL

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 establishes 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 $s = \frac{\sigma}{\sqrt{n}}$ .