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aivan3 [116]
3 years ago
9

16.437 rounded to the neatest tenth is 16.4 true or false

Mathematics
2 answers:
Ainat [17]3 years ago
7 0
Answer=True

When rounding 16.437 to the nearest tenth, we need to look to the hundreds place.

16.437

The number 3 is in the hundreds place

The rules of rounding are:

If the number is 5 or greater, then you round up.

If the number is 4 or less, Then you round down.

Since 3 is less than 4, we would round down. So...

16.437 becomes 16.4
Pavlova-9 [17]3 years ago
7 0
It is true because after the decimal the digit is in the tenths catagory then hundreths and thousandths etc. That is why it is tenths.
:)
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Nesterboy [21]

Answer:

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Step-by-step explanation:

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3 years ago
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Let f(x)=-3x-7 Abe g(x)=4x-5 find (f•g)(-3)
LiRa [457]

Answer:

272

Step-by-step explanation:

note that (f • g)(x) = f(x) × g(x) = (3x - 7)(4x - 5)

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3 years ago
Complete the solution of the equation. Find the value of y when x equals -25. <br> -2x+2y = 44
bazaltina [42]

Answer:

y=-3

Step-by-step explanation:

-2(-25)+2y=44

Substitute -25 for x

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50+2y=44

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2y/2=-6/2

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7 0
3 years ago
The width of a casing for a door is normally distributed with a mean of 24 in and a standard deviation of 0.14 in. The width of
Galina-37 [17]

Answer:

0.2296 = 22.96% probability that the width of the casing exceeds the width of the door by more than 0.25 in.

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.

Subtraction of normal variables:

When we subtract normal variables, the mean is the subtraction of the means, while the standard deviation is the square root of the sum of the variances.

The width of a casing for a door is normally distributed with a mean of 24 in and a standard deviation of 0.14 in.

This means that \mu_{C} = 24, \sigma_{C} = 0.14

The width of a door is normally distributed with a mean of 23.87 in and a standard deviation of 0.08 in.

This means that \mu_{D} = 23.87, \sigma_{D} = 0.08.

Find the probability that the width of the casing exceeds the width of the door by more than 0.25 in?

This is P(C - D > 0.25).

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The mean is:

\mu = \mu_{C} - \mu_{D} = 24 - 23.87 = 0.13

The standard deviation is:

\sigma = \sqrt{\sigma_{C}^2+\sigma_{D}^2} = \sqrt{0.14^2+0.08^2} = 0.1612

Probability:

This probability is 1 subtracted by the pvalue of Z when X = 0.25. So

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

Z = \frac{0.25 - 0.13}{0.1612}

Z = 0.74

Z = 0.74 has a pvalue of 0.7704

1 - 0.7704 = 0.2296

0.2296 = 22.96% probability that the width of the casing exceeds the width of the door by more than 0.25 in.

4 0
3 years ago
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kari74 [83]

Answer:

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<h3><u>a=19.5</u> is the right answer.</h3>
7 0
3 years ago
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