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Papessa [141]
3 years ago
12

What number is halfway between 170,000 and 180,000

Mathematics
1 answer:
r-ruslan [8.4K]3 years ago
4 0
Uh obviously 175,000??
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Express this number in scientific notation.
Nady [450]

Answer:

The answer is 3.643•10^-1.

Step-by-step explanation:

Move the decimal until it is between the first and second number

You move it one time and this is a decimal so the exponent will be -1.

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I need help with this one please
lina2011 [118]

Answer:

plot $30 on the line above one and plot $50 on the line above two and keep doing the same thing

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Ocean fishing for billfish is very popular in the Cozumel region of Mexico. In the Cozumel region about 41% of strikes (while tr
Klio2033 [76]

Answer:

a) 59.10% probability that 12 or fewer fish were caught.

b) 99.74% probability that 5 or more fish were caught.

c) 58.84% probability that between 5 and 12 fish were caught.

Step-by-step explanation:

I am going to use the normal approximation to the binomial to solve this question.

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 = 29, p = 0.41

So

\mu = E(X) = np = 29*0.41 = 11.89

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = 2.6486

Find the following probabilities.

a) 12 or fewer fish were caught.

Using continuity correction, this is P(X \leq 12 + 0.5) = P(X \leq 12.5), which is the pvalue of Z when X = 12.5. So

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

Z = \frac{12.5 - 11.89}{2.6486}

Z = 0.23

Z = 0.23 has a pvalue of 0.5910

59.10% probability that 12 or fewer fish were caught.

b) 5 or more fish were caught.

Using continuity correction, this is P(X \geq 5 - 0.5) = P(X \geq 4.5), which is 1 subtracted by the pvalue of Z when X = 4.5. So

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

Z = \frac{4.5 - 11.89}{2.6486}

Z = -2.79

Z = -2.79 has a pvalue of 0.0026

1 - 0.0026 = 0.9974

99.74% probability that 5 or more fish were caught.

c) between 5 and 12 fish were caught.

Using continuity correction, this is P(5 - 0.5 \leq X \leq 12 + 0.5) = P(4.5 \leq X \leq 12.5), which is the pvalue of Z when X = 12.5 subtracted by the pvalue of Z when X = 4.5. So.

From a), when X = 12.5, Z has a pvalue of 0.5910

From b), when X = 4.5, Z has a pvalue of 0.0026.

So

0.5910 - 0.0026 = 0.5884

58.84% probability that between 5 and 12 fish were caught.

8 0
4 years ago
Write down a multiple of 4 between 29 and 37 ?<br><br>​
Sauron [17]

Answer:

8 or 9

Step-by-step explanation:

4 times 8 equals 32, and 4 times 9 equals 36

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Solve the equation tan(x+pi/3)=square root3/3 over the interval [0,2pi]
Deffense [45]

Answer:

Answer D 5pi over 6 and 11pi over 6

Step-by-step explanation:

Got it wrong lol

7 0
3 years ago
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