Final answer:
Cross-sectional data sets consist of a sample of multiple individuals and are collected at a single point in time. It cannot be assumed that random sampling was used or that the frequency of data collection is relevant.
Step-by-step explanation:
Regarding cross-sectional data sets, certain statements are accurate. These data sets typically consist of information collected from a sample of individuals, which is true for most forms of data collection in studies and research. Here are the correct statements about cross-sectional data sets:
- The data consist of a sample of multiple individuals.
- The data are collected at approximately the same point in time.
It cannot be assumed that the data from cross-sectional studies are obtained through random sampling without specific mention of the methodology. Random sampling is a method that may or may not be employed. Furthermore, frequency of data collection does not usually apply to cross-sectional studies as they capture data at a single point in time rather than over a sequence.
Cross-sectional data sets refer to data that are collected from a sample of multiple individuals at a single point in time. The following statements are true regarding cross-sectional data sets:
a. The data consist of a sample of multiple individuals: Cross-sectional data sets involve collecting data from multiple individuals at a particular time, allowing for comparisons between different groups.
c. These data require attention to the frequency at which they are collected (weekly, monthly, yearly, etc.): While cross-sectional data sets are collected at a single point in time, it is important to consider the frequency at which the data are collected to ensure accuracy and relevance.
d. The data are collected at approximately the same point in time: Cross-sectional data sets are collected from different individuals, but at a specific moment, providing a snapshot of the population.