Final answer:
The statement, 'the proportion in the tail beyond z=1.50 is p=0.0668', is true for a standard normal distribution. The p-value represents the area to the right of the z-score and is used in hypothesis testing. This is specifically relevant to a one-tailed test.
Step-by-step explanation:
The claim that for a normal distribution, the proportion in the tail beyond z=1.50 is p=0.0668 is typically true. The value of 0.0668 represents the area to the right of z=1.50 on the standard normal distribution, which is the proportion of the distribution that lies beyond this z-score.
In the context of hypothesis testing, the p-value is used to determine the significance of the test results. By comparing the p-value to a significance level, typically denoted by α, we can make a decision on whether to reject the null hypothesis. it's important to note that the provided p-value would be pertinent in the context of a one-tailed test, where the concern is only with values on one side of the distribution, in this case, the tail beyond z=1.50.