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GREYUIT [131]
2 years ago
12

Which statement is true? 1, A strong association implies a positive correlation. 2, A Positive correlation implies a strong asso

ciation. 3, A positive correlation implies a positive slope. 4, A negative correlation implies a weak association Intro​
Mathematics
1 answer:
Gnesinka [82]2 years ago
8 0

Answer:

it's A

Step-by-step explanation:

is a positive correlation

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0.8413 = 84.13% probability of a bulb lasting for at most 605 hours.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

The standard deviation of the lifetime is 15 hours and the mean lifetime of a bulb is 590 hours.

This means that \sigma = 15, \mu = 590

Find the probability of a bulb lasting for at most 605 hours.

This is the pvalue of Z when X = 605. So

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

Z = \frac{605 - 590}{15}

Z = 1

Z = 1 has a pvalue of 0.8413

0.8413 = 84.13% probability of a bulb lasting for at most 605 hours.

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