The probability P(-0.5 ≤ z ≤ 0.5) is the greatest for a standard normal distribution, and the value of P(-0.5 ≤ z ≤ 0.5) is 38.2% option second is correct.
<h3>What is a normal distribution?</h3>
It's the probability curve of a continuous distribution that's most likely symmetric around the mean. On the Z curve, at Z=0, the chance is 50-50. A bell-shaped curve is another name for it.
We have a statement:
Which of the following probabilities is the greatest for a standard normal distribution:
The options are:
P(-1.5 ≤ z ≤ -0.5)
P(-0.5 ≤ z ≤ 0.5)
P(0.5 ≤ z ≤ 1.5)
P(1.5 ≤ z ≤ 2.5)
As we know from the normal distribution curve we can find the probability between the range given. At Z=0, the chance is 50-50.
From the Z-curve:
P(-1.5 ≤ z ≤ -0.5) = 9.2% + 15% = 24.2%
P(-0.5 ≤ z ≤ 0.5) = 19.1% + 19.1% = 38.2%
P(0.5 ≤ z ≤ 1.5) = 15% + 9.2% = 24.2%
P(1.5 ≤ z ≤ 2.5) = 4.4% + 1.7% = 6.1%
Thus, the probability P(-0.5 ≤ z ≤ 0.5) is the greatest for a standard normal distribution, and the value of P(-0.5 ≤ z ≤ 0.5) is 38.2% option second is correct.
Learn more about the normal distribution here:
brainly.com/question/12421652
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