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2 years ago

Help pleaseeeeee!!!!!

Mathematics

1 answer:

Lemur [1.5K]2 years ago

7 0

is there a pic or will it not load for me?

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Hugh poured 100 kilograms of water into 10 kg of salt.

Leokris [45]

Answer:

110, 9.1. The total weight of the salt solution is the weight of water plus the weight of salt. So he made 100+10=110 kg of salt solution.

Step-by-step explanation:

7 0

2 years ago

Keith is saving money for a car. He has saved the same amount each year for the past three years, and records how much he has at

noname [10]

Answer:

Keith's unit rate of change of dollars with respect to time is $1500.

Step-by-step explanation:

It is given that Keith is saving money for a car.

Year 1: 1500

year 2: 3000

year 3: 4500

Let y be the saved amount after x year.

The coordinate pairs according to the given table are (1,1500), (2,3000) and (3,4500).

The formula for rate of change is

Consider any two coordinate pairs.

Let as consider (1,1500) and (2,3000). So, Keith's unit rate of change of dollars with respect to time is

Therefore, Keith's unit rate of change of dollars with respect to time is $1500.

8 0

3 years ago

Someone please help!

svetoff [14.1K]

Answer:

a =6

b=4

c=2

step-by-step explanation:

$\sqrt{x^{12} y^{9}z^{5} }$ = $\sqrt{x^{12} y^{8}y z^{4} z}$ = $\sqrt{(x^{6}) ^{2} (y^{4}) ^{2} (z^{2})^{2} yz }$ = $x^{6}y^{4} z^{2} \sqrt{yz}$

7 0

2 years ago

Need help I don’t know the answer to this.

Bond [772]

Answer:

what grade is this

Step-by-step explanation:

I'm very confused is this algebra?

8 0

2 years ago

The line width used for semiconductor manufacturing is assumed to be normally distributed with a mean of 0.5 micrometer and a st

Alinara [238K]

Answer:

There is a 0.82% probability that a line width is greater than 0.62 micrometer.

Step-by-step explanation:

Problems of normally distributed samples can be 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

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

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. The sum of the probabilities is decimal 1. So 1-pvalue is the probability that the value of the measure is larger than X.

In this problem

The line width used for semiconductor manufacturing is assumed to be normally distributed with a mean of 0.5 micrometer and a standard deviation of 0.05 micrometer, so $\mu = 0.5, \sigma = 0.05$ .