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Lera25 [3.4K]
1 year ago
3

5. A population with mean = 37 and standard deviation = 6 is standardized so that the new mean is 50 and the new standard deviat

ion is 10. A scale of 40 on the first scale is equivalent to what score on the new standardized scale?
Mathematics
1 answer:
Westkost [7]1 year ago
5 0

Using z-scores, it is found that a scale of 40 on the first scale is equivalent to a score of 55 in the new standardized scale.

<h3>What are z-scores?</h3>

The z-score of a measure X of a distribution with mean represented by \mu and standard deviation represented by \sigma is given by:

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

  • It measures how many standard deviations the measure is above(in case the score is positive) or below(in case the score is negative) the mean.
  • Looking at the z-score table, the p-value associated with the z-score is found, which represents the percentile of the measure X.

For the first scale, the parameters are given as follows:

X = 40, \mu = 37, \sigma = 6

Hence the z-score is:

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

Z = (40 - 37)/6

Z = 0.5.

For the second scale, we want to find <u>X when Z = 0.5</u>, considering the following mean and standard deviation:

\mu = 50, \sigma = 10

Hence:

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

0.5 = (X - 50)/10

X - 50 = 5

X = 55.

A scale of 40 on the first scale is equivalent to a score of 55 in the new standardized scale.

More can be learned about z-scores at brainly.com/question/4079902

#SPJ1

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Answer:

0.0668 = 6.68% probability that an individual man’s step length is less than 1.9 feet.

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.

Normally distributed with a mean of 2.5 feet and a standard deviation of 0.4 feet.

This means that \mu = 2.5, \sigma = 0.4

Find the probability that an individual man’s step length is less than 1.9 feet.

This is the p-value of Z when X = 1.9. So

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Z = \frac{1.9 - 2.5}{0.4}

Z = -1.5

Z = -1.5 has a p-value of 0.0668

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Answer:

y = 52.02

Step-by-step explanation:

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