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fredd [130]
3 years ago
10

Can someone help me to find this

Mathematics
1 answer:
olchik [2.2K]3 years ago
8 0
Lol i learned that today sorry i didn't get it either
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How do you solve the quadratic equation x2-7=0
12345 [234]
X^2-7=0
Add 7 to both sides.
x^2=7
Find the sqr root of 7.
It's about 2.6
5 0
3 years ago
Plz help on #3 ASAP!:)
masya89 [10]

Answer:

Step-by-step explanation:

4 0
3 years ago
1.5.3 Quiz: Literal Equations and Formulas
sweet-ann [11.9K]

Answer:

c = F-32; 68-32 = 36°C.

Step-by-step explanation:

the real conversation equation is f = 9/5 C + 32. but for the sake of this problem we are ignoring the coefficient.

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3 0
3 years ago
The weights of a certain brand of candies are normally distributed with a mean weight of 0.8544 g and a standard deviation of 0.
aleksandr82 [10.1K]

Answer:

The probability is 0.508 = 50.8%.

Step-by-step explanation:

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.

Normally distributed with a mean weight of 0.8544 g and a standard deviation of 0.0525 g.

This means that \mu = 0.8544, \sigma = 0.0525

If 1 candy is randomly​ selected, find the probability that it weighs more than 0.8535 g.

This is 1 subtracted by the pvalue of Z when X = 0.8535. So

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

Z = \frac{0.8535 - 0.8544}{0.0525}

Z = -0.02

Z = -0.02 has a pvalue of 0.492

1 - 0.492 = 0.508

The probability is 0.508 = 50.8%.

8 0
4 years ago
Solve formula please
fiasKO [112]

c=PI*d

divide both sides by PI to get d by itself

d = c/PI

6 0
3 years ago
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