Questions: Find the z* values based on a standard normal distribution for each of the following.
(a) A 78% confidence interval for a proportion.
Round your answer to two decimal places.
± z* = ± i
(b) An 82% confidence interval for a slope.
Round your answer to two decimal places.
± z* = ± i
Transcript text: Find the $z^{*}$ values based on a standard normal distribution for each of the following.
(a) A $78 \%$ confidence interval for a proportion.
Round your answer to two decimal places.
$\pm z^{*}= \pm$ i $\square$
(b) An $82 \%$ confidence interval for a slope.
Round your answer to two decimal places.
$\pm z^{*}= \pm$ i $\square$
Solution
Solution Steps
Step 1: Calculate \( z^* \) for a 78% Confidence Interval
To find the critical value \( z^* \) for a 78% confidence interval, we first determine the significance level \( \alpha \):
\[
\alpha = 1 - 0.78 = 0.22
\]
Since this is a two-tailed test, we divide \( \alpha \) by 2:
\[
\frac{\alpha}{2} = \frac{0.22}{2} = 0.11
\]
Next, we find the critical z-value corresponding to \( 1 - 0.11 = 0.89 \) using the standard normal distribution:
\[
z^* = \text{invCDF}(0.89) \approx 1.23
\]
Thus, the critical value for the 78% confidence interval is:
\[
\pm z^* = \pm 1.23
\]
Step 2: Calculate \( z^* \) for an 82% Confidence Interval
For the 82% confidence interval, we again calculate the significance level \( \alpha \):
\[
\alpha = 1 - 0.82 = 0.18
\]
Dividing \( \alpha \) by 2 gives:
\[
\frac{\alpha}{2} = \frac{0.18}{2} = 0.09
\]
We then find the critical z-value corresponding to \( 1 - 0.09 = 0.91 \):
\[
z^* = \text{invCDF}(0.91) \approx 1.34
\]
Thus, the critical value for the 82% confidence interval is:
\[
\pm z^* = \pm 1.34
\]
Final Answer
The critical values for the confidence intervals are: