4.10 x 10^-2/ (-2.05 x 10^4)=

Mathematics

1 answer:

kaheart [24]3 years ago

5 0

Answer:

-0.000002

Step-by-step explanation:

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Henry wants to pour 57.93 grams of salt into a container. So far, he has poured 28.3 grams. How much more salt should Henry pour

-BARSIC- [3]

Answer:

29.63

Step-by-step explanation:

Since there is already 28.3 grams in the container, you just have to subtract 57.93 and 28.3 to get your answer because 57.93 is the total.

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3 years ago

What is the polynomial of 3,4

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3 years ago

I need help understanding “1 more foot every...”

Fed [463]

So the ration is 1 to 5 since it's one foot every 5 seconds. So for every 5 seconds, add 1 foot.
For example: in 45 seconds, it would travel 7 feet.
But in this Scenario, the timer starts after 5 feet so just add 5
Ex. in 45 seconds, it would have traveled 12 feet since we added the 5 feet that we started with to the 7 other feet it traveled.
Idk If this will help very much but I hope it does.

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3 years ago

Mabel has a total of 54 beads. Some beads are black and some are white. The ratio of the number of black beads to the number of

seraphim [82]

7x+2x= 54
9x= 54
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White 2(6)=12
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3 years ago

Suppose that the weights of airline passenger bags are normally distributed with a mean of 47.88 pounds and a standard deviation

Leto [7]

Answer:

There is a 24.51% probability that he weight of a bag will be greater than the maximum allowable weight of 50 pounds.

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

Suppose that the weights of airline passenger bags are normally distributed with a mean of 47.88 pounds and a standard deviation of 3.09 pounds, so $\mu = 47.88, \sigma = 3.09$