To find the $p$-value for a two-tailed one-mean hypothesis test with a given test statistic $z_0 = 0.27$, we need to:
Use the standard normal distribution to find the cumulative probability corresponding to $z_0 = 0.27$.
Since it is a two-tailed test, calculate the $p$-value as twice the area in the tail beyond the absolute value of the test statistic.
Step 1: Calculate the Cumulative Probability for \( z_0 \)
Given the test statistic \( z_0 = 0.27 \), we first find the cumulative probability from the standard normal distribution:
\[
\text{cumulative\_prob} = 0.6064
\]
Step 2: Calculate the Area in the Tail
For a two-tailed test, we need to calculate the area in the tail beyond the absolute value of the test statistic. This is given by:
\[
\text{tail\_area} = 1 - \text{cumulative\_prob} = 1 - 0.6064 = 0.3936
\]
Step 3: Calculate the \( p \)-value
Since it is a two-tailed test, the \( p \)-value is twice the area in the tail:
\[
p\text{-value} = 2 \times \text{tail\_area} = 2 \times 0.3936 = 0.7872
\]