Final Answer:
The margin of error for the difference in sample proportions is approximately 0.068.
Step-by-step explanation:
The margin of error for the difference in sample proportions is calculated as twice the standard deviation of the sampling distribution, considering a 95% confidence level. With a standard deviation of 0.034, doubling this value results in an approximate margin of error of 0.068.
This means that the actual difference between the proportions of US and Spanish teens with TVs in their bedrooms is estimated to lie within 0.068 of the observed difference in the sample.
This margin of error helps to define a range within which the true difference in proportions likely falls. It's crucial when making inferences about the population based on sample data, providing a sense of the precision of the sample difference.