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Blababa [14]
3 years ago
9

Mrs bell has 256 ounce bag of potting soil.what is the greatest number of 6 ounce pot

Mathematics
2 answers:
oksian1 [2.3K]3 years ago
7 0

Answer:

42

Step-by-step explanation:

Bingel [31]3 years ago
3 0
I’m not sure what you are trying to ask, but if it is “how much soil can fit into X amount of pots the answer would be 43, 42 full with a 1 partial pot
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Which expression results when the change of base formula is applied to log4 (x + 2)?
aksik [14]
You haven't shared the possible answers, so the best I can do (which is very good!) is to assume we want to change from base 4 to base 10 and then apply the change of base formula.

Given log-to-the-base-4-of (x+2), we want log-to-the-base-10 of (x+2).  Following the change of base formula,
                                                log-to-the-base-4-of (x+2)
log-to-the-base-10 of (x+2) = ------------------------------------
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3 years ago
Read 2 more answers
The number of failures of a testing instrument from contamination particles on the product is a Poisson random variable with a m
Mazyrski [523]

Answer:

The probability that the instrument does not fail in an 8-hour shift is P(X=0) \approx 0.8659

The probability of at least 1 failure in a 24-hour day is P(X\geq 1 )\approx 0.3508

Step-by-step explanation:

The probability distribution of a Poisson random variable X representing the number of successes occurring in a given time interval or a specified region of space is given by the formula:

P(X)=\frac{e^{-\mu}\mu^x}{x!}

Let X be the number of failures of a testing instrument.

We know that the mean \mu = 0.018 failures per hour.

(a) To find the probability that the instrument does not fail in an 8-hour shift, you need to:

For an 8-hour shift, the mean is \mu=8\cdot 0.018=0.144

P(X=0)=\frac{e^{-0.144}0.144^0}{0!}\\\\P(X=0) \approx 0.8659

(b) To find the probability of at least 1 failure in a 24-hour day, you need to:

For a 24-hour day, the mean is \mu=24\cdot 0.018=0.432

P(X\geq 1 )=1-P(X=0)\\\\P(X\geq 1 )=1-\frac{e^{-0.432}0.432^0}{0!}\\\\P(X\geq 1 )\approx 0.3508

3 0
3 years ago
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meriva

Answer:

=

Step-by-step explanation:

when using pemdas both sides are 0 so they are equal

8 0
2 years ago
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Verdich [7]

Answer:

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2 years ago
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It is 4/10 times 3/9 which is 12/90.12/90 is equivalent to 4/30, or 2/15 chance.
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