Based on a recent poll of 1,015 U.S. households that have an Internet connection, the researchers claimed with 95% confidence that among all U.S. households who have an Internet connection, between 63% and 67% have a high-speed link.

Interval estimation in statistics is the use of sample data to estimate an interval of plausible values for a parameter of interest.
In contrast to point estimation, which produces a single value.
Confidence intervals (a frequentist method) and credible intervals (a Bayesian method) are the most common types of interval estimation; likelihood intervals and fiducial intervals are less common.
Tolerance intervals (covering a percentage of a sampled population) and prediction intervals are two other types of statistical intervals (an estimate of a future observation, used mainly in regression analysis).

So, in the given situation the proportion of households with an Internet connection that has a high-speed link is estimated to be between 63% and 67% (with 95% confidence), which is an example of interval estimation.

Therefore, the following given situation is the example of (B) interval estimation.

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The correct question is given below
Based on a recent poll of 1,015 U.S. households that have an Internet connection, the researchers claimed with 95% confidence that among all U.S. households that have an Internet connection, between 63% and 67% have a high-speed link.

a. point estimation

b. interval estimation

c. hypothesis testing