Final answer:
The data example about seniors being undecided on their college major represents qualitative data. The 50 percent of surveyed high school seniors planning to attend a four-year college is a parameter. Data such as the number of times per week are considered quantitative discrete, while duration or distance are quantitative continuous.
Step-by-step explanation:
The data example provided indicates that three out of five seniors remain undecided about a college major at the end of their senior year. This information represents a type of data that is related to characteristics or descriptions that cannot be measured with numbers but can be observed. Therefore, the type of data represented is A. qualitative, as it expresses a characteristic (being undecided about a college major) rather than a numerical value.
In relation to the provided information, when the U.S. federal government surveys all high school seniors in the United States concerning their plans for future education and employment and finds that 50 percent were planning to attend a four-year college or university following year, this 50 percent represents an A. Parameter, because it is a measure that describes a characteristic of the entire population.
When sorting through different kinds of data, if the data is countable, like the number of times per week, it is considered b. quantitative discrete because it is numerical data that can be counted. However, if the data involves measurements or can take on any value within a range, like duration or distance, it is classified as c. quantitative continuous.