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ratelena [41]
3 years ago
15

What is 1/10 of 0.04

Mathematics
1 answer:
IrinaVladis [17]3 years ago
6 0
We could write the fractions as decimals.
.1 \times .04 = .004 =  \frac{4}{1000}

The answer is .004 or 4/1000.
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A pizza with a diameter of 8 inches costs $10 and a pizza
Rina8888 [55]

Answer:

8 inch is your best buy

Step-by-step explanation:

8inch diameter =10 dollars

5 inch radius = 12 dollars

so if we get each equal to the diameter it should be 10 inch and that would be 24 dollars vs . 8 in for 10 dollars. So best buy would be 8 inch

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2 years ago
Quadrilateral BCDE is inscribed in circle A. EBC and BCD measure
anzhelika [568]

Answer: 101.14

Step-by-step explanation:

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5 0
2 years ago
In the Journal of Shell and Spatial Structures (December 1963), environmental researcher Vivek Ajmani studied the performance of
igomit [66]

Answer:

The standard deviation of the load distribution is of 5102.041 pounds.

Step-by-step explanation:

When the distribution is normal, we use 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.

In this question, we have that:

\mu = 20000

Also, the probability that the load is between 10,000 and 30,000 pounds is 0.95.

10,000 pounds and 30,000 pounds are equidistant from the mean. Due to this, and the probability of 0.95 of having a value in this range, 10000 is the (100-95)/2 = 2.5th percentile and 30000 is the (100+95)/2 = 97.5th percentile. Applying one of them, we find the standard deviation.

30,000 is the 97.5th percentile:

This means that when X = 30000, Z has a pvalue of 0.975. So when X = 30000, Z = 1.96. Then

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

1.96 = \frac{30000 - 20000}{\sigma}

1.96\sigma = 10000

\sigma = \frac{10000}{1.96}

\sigma = 5102.041

The standard deviation of the load distribution is of 5102.041 pounds.

8 0
4 years ago
Uhm please help me :(((
Andreas93 [3]
To find the area to the total surface area is 1/2bh
The height would be 6.9 + itself to get the height
And the base is 16 bc 8+8
8 0
3 years ago
Read 2 more answers
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