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guajiro [1.7K]
3 years ago
10

Papa Johns and Dominos are both running a special on Pizza and wings for Super bowl Sunday. Papa Johns is charging $12 for a lar

ge pizza plus $0.25 for each hot wing. Pizza Hut is charging $15 for a large pizza plus $0.10 for each hot wing. For which number of wings will the cost be the same?
Mathematics
1 answer:
aleksandrvk [35]3 years ago
4 0

Answer:

5 wings

Step-by-step explanation:

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Find the measure of angle b
hammer [34]

Answer:

38 degrees

180-142

8 0
3 years ago
RYAN COMPLETED 1/8 of his test in 2/5 hour.if ryan's rate stayed the same,how much of his test was finished in one hour? help pl
KiRa [710]

Answer:

<h2>5/16</h2>

Step-by-step explanation:

Multiply 1/8 by 2.5

1/8 x 2.5 = 5/16

Ryan will have completed 5/16 of his test at the 1 hour mark.

I'm always happy to help :)

7 0
3 years ago
Which of the following changes will always be true for an exothermic process?
Ivenika [448]
Given that I no not see any explanation in the previos answer, I think you can benefit of this.

Exothermic refers only to the fact that the reaction releases energy in the form of heat when occurs. So, the enthalpy is higher at start and lower and the end.

Seen in this way, you can deduct that the change in enthalpy is negative, which is what the third option says. 
6 0
3 years ago
Read 2 more answers
P(X&lt; ) 1-P(X&gt; ) A softball pitcher has a 0.626 probability of throwing a strike for each curve ball pitch. If the softball
Mashutka [201]

Answer:

19.49% probability that no more than 16 of them are strikes

Step-by-step explanation:

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed samples can be 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.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

In this problem, we have that:

n = 30, p = 0.626

So

\mu = E(X) = np = 30*0.626 = 18.78

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{30*0.626*0.374} = 2.65

What is the probability that no more than 16 of them are strikes?

Using continuity correction, this is P(X \leq 16 + 0.5) = P(X \leq 16.5), which is the pvalue of Z when X = 16.5. So

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

Z = \frac{16.5 - 18.78}{2.65}

Z = -0.86

Z = -0.86 has a pvalue of 0.1949

19.49% probability that no more than 16 of them are strikes

7 0
3 years ago
True or False?<br> If false provide an example <br><br> For all integers<br> n, n3 is positive.
Maksim231197 [3]

Answer:

False

Step-by-step explanation:

Explanation is given below.

7 0
3 years ago
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