Answer: The null hypothesis for this scenario is that the proportion of readers who own a personal computer is 0.51 or less:
H0: p <= 0.51
The alternative hypothesis is that the proportion of readers who own a personal computer is greater than 0.51:
Ha: p > 0.51
To test this hypothesis, we would need to collect a random sample of readers and determine the proportion of readers who own a personal computer in the sample. We could then use a one-sample proportion test to determine whether the proportion in the sample is significantly different from the null hypothesis value of 0.51. If the p-value is less than 0.05, we would reject the null hypothesis and conclude that there is sufficient evidence to substantiate the publisher's claim that more than 51% of their readers own a personal computer. If the p-value is greater than or equal to 0.05, we would fail to reject the null hypothesis and conclude that there is not sufficient evidence to substantiate the publisher's claim.
Explanation: