Final answer:
The p-value associated with the test statistic in this problem is approximately 0.0026.
Step-by-step explanation:
To determine the p-value associated with the test statistic in this problem, we can use a two-proportion z-test. The null hypothesis is that the proportion of households equipped with VCRs is less than or equal to 5000/20000 = 0.25. The alternate hypothesis is that the proportion is greater than 0.25.
The test statistic can be calculated as z = (p1 - p2) / sqrt(p_pool * (1 - p_pool) * (1/n1 + 1/n2)), where p1 is the proportion in the sample, p2 is the proportion under the null hypothesis, n1 is the sample size, n2 is the total population size, and p_pool is the pooled proportion.
In this case, the sample proportion is 96/300 = 0.32, and the population proportion is 5000/20000 = 0.25. Plugging these values into the formula, we find that the test statistic is approximately 2.944. Looking up this value in the z-table or using a calculator function, we find that the p-value is approximately 0.0026.