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Naya [18.7K]
2 years ago
14

A telephone survey uses a random digit dialing machine to call subjects. the random digit dialing machine is expected to reach a

live person 15% of the time. in eight attempts, what is the probability of achieving exactly two successful calls?
Mathematics
1 answer:
yanalaym [24]2 years ago
6 0
P(r successes in n trials) = ⁿC_{r}×[P(Success)^{r}]×[P(failure)]^{n-r}

We have
n=8
r=2
P(Success)=0.15
P(Failure)=0.85

Substitute these values into the formula, we have
P( 2 success in 8 trials) = ⁸C₂ × (0.15)² × (0.85)⁶
P( 2 success in 8 trials) = 0.2376.... ≈ 0.24 = 24%
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Answer:

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Step-by-step explanation:

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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.

In this problem, we have that:

\mu = 800, \sigma = 40, n = 16, s = \frac{40}{\sqrt{16}} = 10

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This probability is the pvalue of Z when X = 775. So

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Z = -2.5

Z = -2.5 has a pvalue of 0.0062. So there is a 0.62% probability that a random sample of 16 bulbs will have an average life of less than 775 hours.

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To solve this problem, let us first lay out all the factors of each number.

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