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Mandarinka [93]
3 years ago
13

the standard normal curve shown below models the population distribution of a random variable. What proportion of the values in

the population dose not lie between the two z-scores indicated on the diagram?

Mathematics
1 answer:
LiRa [457]3 years ago
5 0

Answer:

<u></u>

  • <u>0.3175  or 31.75%</u>

Explanation:

Please, find attached the diagram with the standard normal curve for this problem.

The<em> two z-scores</em> indiated are z = - 1.25 and z = 0.80

The <em>proportion of the values in the population that does note lie between the two z-scores indicated on the diagram</em> is equal to the the areas below the curve to the left of  z < -1.25 and to the right z > 0.80

The areas to the left or to the right of the z-scores are found in the tables of standard normal cummulative probabilities.

There are tables that show the cummulative probability to the left of the z-scores and tables that show the cummulative probability to the right of the z-scores.

Using a table for the cummulative probatility to the right of the z-score = 0.80 you find:

  • P(Z > 0.80) = 0.2119

Using the symmetry property of the standard normal distribution, P(Z<-1.25) = P(Z>1.25).

Thus, using the same table: P(Z>1.25) = 0.1056

Hence, P(Z<-1.25) + P(Z>0.8) = 0.1056 + 0.2119 = 0.3175.

Therefore, 0.3175 or 31.75% <em>of the values in the population does not lie between the two z-scores indicated on the diagram.</em>

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Step-by-step explanation:

Given the data:

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C.)

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D.)

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P = 553 / 1007 = 0.549

Confidence interval = P ± margin of error

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Margin of error = 1.96 * √0.549(0.451)/1007

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E.)

The interval with smaller error margin is ; 0.030 (those who think country is headed in the right direction because sample proportion is farther from .5 / farther from 1)

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