Questions: For the standard normal variable Z, find (z0.44), the value that divides the area under the density curve into 0.56 to the left and 0.44 to the right. (z0.44=) (Round the answer to 2 decimal places)

For the standard normal variable Z, find (z0.44), the value that divides the area under the density curve into 0.56 to the left and 0.44 to the right.
(z0.44=) (Round the answer to 2 decimal places)
Transcript text: For the standard normal variable $Z$, find $z_{0.44}$, the value that divides the area under the density curve into 0.56 to the left and 0.44 to the right. $z_{0.44}=\square$ (Round the answer to 2 decimal places)
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Solution

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Solution Steps

Step 1: Understanding the Problem

We need to find \( z_{0.44} \), which is the z-score that divides the area under the standard normal distribution such that 0.56 of the area is to the left and 0.44 is to the right. This means we are looking for the z-score corresponding to a cumulative probability of 0.56.

Step 2: Setting Up the Calculation

The cumulative distribution function (CDF) for the standard normal distribution is denoted as \( \Phi(z) \). We need to find \( z \) such that:

\[ \Phi(z) = 0.56 \]

Step 3: Evaluating the CDF

Using the properties of the standard normal distribution, we know that:

\[ \Phi(-\infty) = 0 \quad \text{and} \quad \Phi(\infty) = 1 \]

Thus, the probability \( P \) for the range from \( -\infty \) to \( \infty \) is:

\[ P = \Phi(Z_{end}) - \Phi(Z_{start}) = \Phi(\infty) - \Phi(-\infty) = 1.0 \]

Step 4: Finding the Z-Score

The output indicates that the z-score corresponding to the cumulative probability of 0.56 is \( z_{0.44} = \infty \). This suggests that there is no finite z-score that satisfies the condition of having 0.44 of the area to the right.

Final Answer

Thus, the value of \( z_{0.44} \) is:

\[ \boxed{z_{0.44} = \infty} \]

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