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Contact [7]
3 years ago
15

How to round 0.195121951 to the nearest hundredth of a percent

Mathematics
2 answers:
tigry1 [53]3 years ago
5 0

Answer:

You have to look at the second number in the decimal place and round the number to the right of it. 0.20

WINSTONCH [101]3 years ago
5 0

The answer will be 0.190000000

Because you will have to go to the nine.

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Write the canonical equation of the straight line 2x+3y-2z+6=0, x-3y+z+3=0
Romashka-Z-Leto [24]

i hope this helps  

let me know if im wrong

6 0
3 years ago
If a cube of metal measures 3 cm on each side and has a mass of 216 g what is the density of the metal
ohaa [14]
The formula of density is mass / volume.
So, the volume is equal to the area of the cube by the total height, so the area of the cube is 3x3= 9, and this result multiplied by the height, 9x3 = 27.
Following the formula of density, we have 216 g / 27 cm^3, the result is 8 g/cm^3.
Hope you undestand my procedure XD
4 0
3 years ago
Read 2 more answers
What is the height of a cylinder with a volume of 1,899.7 cubic inches and a radius of 11 inches?
FrozenT [24]


Not 100% sure. 

Height = 37.81inches


8 0
3 years ago
Read 2 more answers
HELP ME I WILL GIVE BRAINLIEST
lozanna [386]

Answer: 42.0

Step-by-step explanation:

4 0
2 years ago
"A study of the amount of time it takes a mechanic to rebuild the transmission for a 2005 Chevrolet Cavalier shows that the mean
Arada [10]

Answer:

85.31% probability that their mean rebuild time exceeds 8.1 hours.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution:

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.

Central limit theorem:

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, the sample means with size n of at least 30 can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 8.4, \sigma = 1.8, n = 40, s = \frac{1.8}{\sqrt{40}} = 0.2846

If 40 mechanics are randomly selected, find the probability that their mean rebuild time exceeds 8.1 hours.

This is 1 subtracted by the pvalue of Z when X = 8.1. So

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

By the Central Limit Theorem

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

Z = \frac{8.1 - 8.4}{0.2846}

Z = -1.05

Z = -1.05 has a pvalue of 0.1469

1 - 0.1469 = 0.8531

85.31% probability that their mean rebuild time exceeds 8.1 hours.

4 0
3 years ago
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