\( z_{\alpha / 2} \) for the \( 91 \% \) confidence interval \( z_{\alpha / 2}=\square \times \square \)
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To find \( z_{\alpha / 2} \) for a \( 91\% \) confidence interval, you first need to determine \( \alpha \). For a \( 91\% \) confidence level, \( \alpha = 1 - 0.91 = 0.09 \). Since \( z_{\alpha / 2} \) represents the critical value that cuts off the tails of the standard normal distribution, you will need to find \( z_{0.045} \) (which is \( \alpha/2 = 0.09/2 \)). This value can be looked up in the standard normal distribution table or calculated using statistical software, giving approximately \( z_{\alpha / 2} \approx 1.645 \). To express it in your format: \( z_{\alpha / 2} \approx 1.645 \times 1.645 \) The value \( 1.645 \) represents the point where \( 4.5\% \) of the distribution lies to the right, encapsulating \( 91\% \) of the data in the center.
