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Papessa [141]
3 years ago
10

Alan has seven united state coins. their total value is 61 cents. What coins and how many of each does he have?

Mathematics
1 answer:
astra-53 [7]3 years ago
3 0
I solved this via trial & error, not much to say, other than all other combinations of seven coins did not total to $0.61, so here you go.

1 quarter ($0.25)
2 dimes ($0.20)
3 nickels ($0.15)
1 penny ($0.01)
________________
7 coins ($0.61)


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a.-(p-1)(p-6)

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Step-by-step explanation:

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The answer for this question
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Right triangle

Step-by-step explanation:

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Stolb23 [73]
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What is the solution to the inequality -6+|2p+3|>7
andrezito [222]

Answer:

p >5                  or                            p <-8

Step-by-step explanation:

-6+|2p+3|>7

Add 6 to each side

-6+6+|2p+3|>7+6

|2p+3|>13

We get a positive and negative solution

2p +3 > 13             and  2p +3 < -13

Subtract 3 from each side

2p +3 -3> 13-3           or 2p +3-3 < -13-3

2p > 10                                      2p < -16

Divide by 2

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p >5                  or                            p <-8

5 0
3 years ago
Read 2 more answers
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)

                                              = 1 - 0.9332 = 0.0668

<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
4 years ago
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