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KATRIN_1 [288]
2 years ago
12

Help... I dont understand show you work or just answer it..

Mathematics
2 answers:
grin007 [14]2 years ago
7 0
Your answer is 46

7(6) + 12/3
42 + 4= 46
Eduardwww [97]2 years ago
7 0

Answer:

D) 46

Step-by-step explanation:

1) Substitute the given values into 7p + \frac{q}{3}.

= 7(6) + \frac{12}{3}

2) Solve it.

= 42 + \frac{12}{3}

= 42 + 4

= 46

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Answer:

0.056

Step-by-step explanation:

4 0
3 years ago
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Answer this question, -(-2x-4)=15
uranmaximum [27]
X=5.5 is what I got when I did the math
3 0
4 years ago
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Suppose that the weight of an newborn fawn is Uniformly distributed between 2.5 and 4 kg. Suppose that a newborn fawn is randoml
Lubov Fominskaja [6]

Answer:

a) The mean is 3.25

b) The standard deviation is 0.433

c) The probability that fawn will weigh exactly 3.7 kg is 0

d) The probability that a newborn fawn will be weigh between 2.9 and 3.5 is 0.4

e) The probability that a newborn fawn will be weigh more than 3.3 is 0.4667

f) The probability that a newborn fawn will be weigh more than P(x > 2.9 | x < 3.7) is 0.6667

g) The 59th percentile is 3.385

Step-by-step explanation:

a) In order to calculate the mean we would have to make the following calculation:

mean = (4 + 2.5) / 2 = 3.25

b) In order to calculate the standard deviation we would have to make the following calculation:

standard deviation = (4 - 2.5) / √(12) = 0.433

c) P(X = 3.7) = 0

d)  In order to calculate the probability that a newborn fawn will be weigh between 2.9 and 3.5 we would have to make the following calculation:

P(2.9 < X < 3.5) = (3.5 - 2.9) / (4 - 2.5) = 0.4

e) In order to calculate the probability that a newborn fawn will be weigh more than 3.3 we would have to make the following calculation:

P(X > 3.3) = (4 - 3.3) / (4 - 2.5) = 0.4667

f) P(X > 2.9 | X < 3.7) = P(X > 2.9 and X < 3.7) / P(X < 3.7) = P(2.9 < X < 3.7) / P(X < 3.7) = [(3.7 - 2.9) / (4 - 2.5)] / [(3.7 - 2.5) / (4 - 2.5)] = 0.6667

g)  In order to calculate the 59th percentile we would have to make the following calculation:

P(X < x) = 0.59

(x - 2.5) / (4 - 2.5) = 0.59

x = 3.385

6 0
4 years ago
Is 5.67 A)rational B)Irrational C)whole D) natural E)integer
Alexxx [7]
Rational it stops and repeats
5 0
3 years ago
Use the given degree of confidence and sample data to construct a confidence interval for the population proportion p. n = 87, x
Over [174]

Answer:

(0.185, 0.413)

Step-by-step explanation:

In a sample with a number n of people surveyed with a probability of a success of \pi, and a confidence interval 1-\alpha, we have the following confidence interval of proportions.

\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}

In which

Z is the zscore that has a pvalue of 1 - \frac{\alpha}{2}.

For this problem, we have that:

n = 87, x = 26, p = \frac{x}{n} = \frac{26}{87} = 0.2989

98% confidence interval

So \alpha = 0.02, z is the value of Z that has a pvalue of 1 - \frac{0.02}{2} = 0.99, so Z = 2.325.

The lower limit of this interval is:

\pi - z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.2989 - 2.325\sqrt{\frac{0.2989*0.7011}{87}} = 0.185

The upper limit of this interval is:

\pi + z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.2989 + 2.325\sqrt{\frac{0.2989*0.7011}{87}} = 0.413

So the correct answer is:

(0.185, 0.413)

4 0
3 years ago
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