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S_A_V [24]
3 years ago
11

64 decreased by twice Craig’s savings

Mathematics
2 answers:
Ber [7]3 years ago
4 0
I’m just going to use x to represent Craig’s savings, since I don’t have any clue as to what that is.

64-2x
SSSSS [86.1K]3 years ago
3 0

71 - 2n I think I hope I'm right

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How many solutions exist for |1/2x + 1| = 5?
swat32

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Two, 8 and -12

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Two men, A and B, start toward each other at the same time from points 510 miles apart. If they
mario62 [17]

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6 hours

Step-by-step explanation:

40 + 45 = 85

510/85 = 6

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4 years ago
64 oz equals how many lbs
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4 pounds

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3 years ago
Read 2 more answers
The distribution of resistance for resistors of a certain type is known to be normal, with 10% of all resistors having a resista
baherus [9]

Answer:

The mean is 9.65 ohms and the standard deviation is 0.2742 ohms.

Step-by-step explanation:

Problems of normally distributed samples are 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}

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 pvalue, we get the probability that the value of the measure is greater than X.

10% of all resistors having a resistance exceeding 10.634 ohms

This means that when X = 10.634, Z has a pvalue of 1-0.1 = 0.9. So when X = 10.634, Z = 1.28.

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

1.28 = \frac{10.634 - \mu}{\sigma}

10.634 - \mu = 1.28\sigma

\mu = 10.634 - 1.28\sigma

5% having a resistance smaller than 9.7565 ohms.

This means that when X = 9.7565, Z has a pvalue of 0.05. So when X = 9.7565, Z = -1.96.

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

-1.96 = \frac{9.7565 - \mu}{\sigma}

9.7565 - \mu = -1.96\sigma

\mu = 9.7565 + 1.96\sigma

We also have that:

\mu = 10.634 - 1.28\sigma

So

10.634 - 1.28\sigma = 9.7565 + 1.96\sigma

1.96\sigma + 1.28\sigma = 10.645 - 9.7565

3.24\sigma = 0.8885

\sigma = \frac{0.8885}{3.24}

\sigma = 0.2742

The mean is

\mu = 10.634 - 1.28\sigma = 10 - 1.28*0.2742 = 9.65

The mean is 9.65 ohms and the standard deviation is 0.2742 ohms.

8 0
4 years ago
Dennis has to take a short multiple choice quiz that 4 questions and each question has 4 answer choices. What is the probability
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Answer:

3/4?

Step-by-step explanation:

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3 years ago
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