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SpyIntel [72]
2 years ago
7

What is 62.4 ÷ 8 estimated

Mathematics
2 answers:
quester [9]2 years ago
5 0

Answer:

7.8

Step-by-step explanation:

Lelechka [254]2 years ago
4 0

Answer:

<h2>7.8 and it would be <u>8 once rounded</u> </h2>

Step-by-step explanation:

First you need to divide 62.4 by 8

A simpler way to divide with a decimal, is to multiple both numbers by 10 until there are no decimals.

62.4*10 = 624          8*10 = 80

Now rewrite the equation

624/80

Then solve it

Once you have solved it, you should have gotten 7.8

When rounding a number, you need to make sure you round up and down correctly. To find out if you have to round up or down you need to check the number furthest to the right. This number is 8. Now if the number is 5 or more you round up. If the number is 4 or less, you round down. So since the number 8 is above 5, we round up. This would get us 10 but since the 8 is a decimal, we only get 1

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3 years ago
The lifetime of a battery in a certain application is normally distributed with mean μ = 16 hours and standard deviation σ = 2 h
DaniilM [7]

Answer:

Probability that a battery will last more than 19 hours is 0.0668.

Step-by-step explanation:

We are given that the lifetime of a battery in a certain application is normally distributed with mean μ = 16 hours and standard deviation σ = 2 hours.

<em>Let X = lifetime of a battery in a certain application</em>

So, X ~ N(\mu=16,\sigma^{2} =2^{2})

The z-score probability distribution for normal distribution is given by;

               Z = \frac{  X -\mu}{\sigma}  ~ N(0,1)

where, \mu = mean lifetime = 16 hours

            \sigma = standard deviation = 2 hours

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) 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.

So, the probability that a battery will last more than 19 hours is given by = P(X > 19 hours)

  P(X > 19) = P( \frac{  X -\mu}{\sigma} > \frac{19-16}{2} ) = P(Z > 1.50) = 1 - P(Z \leq 1.50)

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<em>Now, in the z table the P(Z </em>\leq<em> x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 1.50 in the z table which has an area of 0.9332.</em>

Hence, the probability that a battery will last more than 19 hours is 0.0668.

5 0
3 years ago
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Anuta_ua [19.1K]
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1 + 5

= 6.

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3 years ago
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3 years ago
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