Questions: Find the z-scores that separate the middle 77% of the distribution from the area in the tails of the standard normal distribution. The z-scores are (Use a comma to separate answers as needed. Round to two decimal places as needed.)

Find the z-scores that separate the middle 77% of the distribution from the area in the tails of the standard normal distribution.

The z-scores are 
(Use a comma to separate answers as needed. Round to two decimal places as needed.)
Transcript text: Find the $z$-scores that separate the middle $77 \%$ of the distribution from the area in the tails of the standard normal distribution. The $z$-scores are $\square$ (Use a comma to separate answers as needed. Round to two decimal places as needed.)
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Solution

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Solution Steps

Step 1: Understanding the Problem

We need to find the \( z \)-scores that separate the middle \( 77\% \) of the standard normal distribution from the tails. This means that \( 23\% \) of the distribution is in the tails, with \( 11.5\% \) in each tail.

Step 2: Calculating the Tail Probabilities

The probabilities for the tails are:

  • Lower tail: \( P(Z < z_{\text{lower}}) = 0.115 \)
  • Upper tail: \( P(Z < z_{\text{upper}}) = 1 - 0.115 = 0.885 \)
Step 3: Finding the \( z \)-Scores

Using the standard normal distribution, we find the \( z \)-scores corresponding to these probabilities:

  • For the lower tail: \( z_{\text{lower}} \) corresponds to \( P(Z < z_{\text{lower}}) = 0.115 \)
  • For the upper tail: \( z_{\text{upper}} \) corresponds to \( P(Z < z_{\text{upper}}) = 0.885 \)

The calculated \( z \)-scores are:

  • \( z_{\text{lower}} \approx -1.2 \)
  • \( z_{\text{upper}} \approx 1.2 \)
Step 4: Rounding the Results

Both \( z \)-scores are rounded to two decimal places:

  • \( z_{\text{lower}} = -1.20 \)
  • \( z_{\text{upper}} = 1.20 \)

Final Answer

The \( z \)-scores that separate the middle \( 77\% \) of the distribution are: \[ \boxed{-1.20, 1.20} \]

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