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taurus [48]
2 years ago
14

A locker combination has four nonzero digits. If no digit can be repeated and the first three digits are 1-2-3, what is the prob

ability that the fourth digit is 4
A. 1/6
B. 1/7
C. 1/8
D. 1/9
Mathematics
1 answer:
Elis [28]2 years ago
6 0

The probability that the fourth digit is 4 is 1/6.

<h3>What is the probability?</h3>

Probability is used to calculate the odds that a random event would happen.  The probability the event occurs is 1 and the probability that the event does not occur is 0.

Probability the number is 4 = 1 / possible numbers

Possible numbers = 4, 5,  6, 7, 8, 9,

= 1/6

To learn more about probability, please check: brainly.com/question/13234031

#SPJ1

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Answer: She would have to work 7 hours to earn $260.

Step-by-step explanation: 40×7=280 280-20=260 Hope this helps.

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Plot the point (4, −3). Start at the origin. Move 4 units . Move 3 units . The point is at .
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A report indicated that 37% of adults had received a bogus email intended to steal personal information. Suppose a random sample
fiasKO [112]

Answer:

5.05% probability that no more than 34% had received such an email.

Step-by-step explanation:

We use the binomial approximation to the normal to solve this problem.

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 = 700, p = 0.37

\mu = E(X) = np = 700*0.37 = 259

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{700*0.37*0.63} = 12.77

In a random sample of 700 adults, what is the probability that no more than 34% had received such an email?

34% is 0.34*700 = 238

So this probability is the pvalue of Z when X = 238.

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

Z = \frac{238 - 259}{12.77}

Z = -1.64

Z = -1.64 has a pvalue of 0.0505

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