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Pr(Z > 0.5) = 0.3085 (approx).

Pr(Z > 0.5) = 0.3085 (approx).

Pr(Z > 0.5) = 0.3085 (approx).

Pr(Z > 0.5) = 0.3085 (approx).

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10y ago
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10y ago

Pr(Z > 0.5) = 0.3085 (approx).

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Q: What is the probability that z is greater than .5?
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Given mean of 0 and deviation of 1 what is the probability that Z is greater than -1.96?

The probability of Z from minus infinity to -1.96 is 0.025. Therefore the probability of Z greater than -1.96 is 1 - 0.025 or 0.975 or 97.5%.


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0.7881 approx.


Fora standard normal distribution what is the probability that z is greater than 1.75?

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It is 0.1587


Using the standard normal distribution find the probability that z is greater than 1.78?

0.0375


What is measured by the numerator of the z-score test statistic?

The z-score, for a value z, is the probability that a Standard Normal random variable will have a value greater than z.


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Pr(Z > -2) = 97.725%


What percent probability is associated with a z-value of 1.3?

None. The probability of a continuous variable taking any particular value is always zero. The probability is greater than zero only when an interval (or range) is specified.


What is the probability that z is greater than 0.75 which one is the answer 0.7734 0.72660.2734 0.2266?

The answer is 0.2266. This can be found by looking up the z-score of 0.75 in a standard normal distribution table and subtracting that value from 1.


Can a negative z score be greater than a positive z score?

Assume the z-score is relative to zero score. In simple terms, assume that we have 0 < z < z0, where z0 is the arbitrary value. Then, a negative z-score can be greater than a positive z-score (yes). How? Determine the probability of P(-2 < z < 0) and P(0 < z < 1). Then, by checking the z-value table, you should get: P(-2 < z < 0) ≈ 0.47725 P(0 < z < 1) ≈ 0.341345


If the mean is 15.2 and the standard deviation is 0.9 What is the probability that x is greater than 16.1?

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Suppose z has a standard normal distribution with a mean of 0 and a standard deviation of 1. the probability that z is less than 1.15 is?

probability is 43.3%