Answer:
Explanation:
The statement "z = 3.14, p < 0.05" suggests that a z-test was performed and the resulting z-value is 3.14, with a corresponding p-value less than 0.05.
Based on this information, the interpretation that is TRUE is:
b. There is a significant difference between the sample value and the population.
A p-value less than 0.05 indicates that the probability of obtaining a z-value as extreme or more extreme than 3.14 under the null hypothesis is less than 5%. This suggests strong evidence against the null hypothesis, which typically assumes no difference between the sample value and the population. Therefore, we can conclude that there is a significant difference between the sample value and the population.