Final answer:
To find the P-values associated with each given z test statistic, we need to calculate the area under the standard normal curve. The P-value represents the probability that the test statistic takes a value as extreme as, or more extreme than, the observed test statistic under the null hypothesis.
Step-by-step explanation:
To find the P-values associated with the given values of the z test statistic, we need to calculate the area under the standard normal curve for a given z-value. The P-value represents the probability that the test statistic takes a value as extreme as, or more extreme than, the observed test statistic under the null hypothesis. Using a standard normal distribution table or a calculator with a standard normal distribution function, we can find the corresponding probabilities.
(a) For z = -0.53, the P-value is the area to the left of -0.53, which is approximately 0.2981.
(b) For z = -0.96, the P-value is the area to the left of -0.96, which is approximately 0.1664.
(c) For z = -1.91, the P-value is the area to the left of -1.91, which is approximately 0.0281.
(d) For z = -2.28, the P-value is the area to the left of -2.28, which is approximately 0.0119.
(e) For z = 1.40, the P-value is the area to the right of 1.40, which is approximately 0.0808.