Quantitative research data is better utilized to measure a population's attitudes and potential responses to new product releases than qualitative data because it is more objective and can be easily analyzed using statistical methods. Quantitative data is also more suitable for testing hypotheses and making predictions about future behavior. On the other hand, qualitative data is most often collected to provide deeper insights into consumer behavior because it allows researchers to understand the underlying motivations and reasons behind people's actions and attitudes. Qualitative data is also useful for generating new ideas and identifying unmet needs in the market. Quantitative research data is better utilized to measure a population's attitudes and potential responses to new product releases than qualitative data because it is more objective and can be easily analyzed using statistical methods. Quantitative data is also more suitable for testing hypotheses and making predictions about future behavior. Quantitative research data is collected in a structured and systematic manner, using methods such as surveys, experiments, or sampling. This data is usually collected in the form of numerical values, such as ratings or percentages, which can be easily analyzed using statistical techniques. Quantitative data is particularly useful for measuring attitudes and potential responses to new product releases because it allows researchers to compare the attitudes of different groups of people and identify patterns or trends. Qualitative research data, on the other hand, is collected in a more open$-$ended manner, using methods such as interviews, focus groups, or observation. Qualitative data is often more subjective and less structured than quantitative data, which can make it more difficult to analyze and interpret. However, qualitative data is often more useful for understanding the underlying motivations and reasons behind people's actions and attitudes. Qualitative data is most often collected to provide deeper insights into consumer behavior because it allows researchers to understand the underlying motivations and reasons behind people's actions and attitudes. Qualitative data is also useful for generating new ideas and identifying unmet needs in the market. Qualitative data is particularly useful for understanding consumer behavior because it allows researchers to explore the reasons behind people's choices and actions. Qualitative data can also be used to generate new ideas and identify unmet needs in the market. For example, a qualitative study might involve interviewing consumers to understand their preferences and motivations for purchasing a particular product, or observing consumers in their natural environment to understand their behavior and preferences. Final answer: In summary, quantitative research data is better utilized to measure a population's attitudes and potential responses to new product releases than qualitative data because it is more objective and can be easily analyzed using statistical methods. Qualitative data is most often collected to provide deeper insights into consumer behavior because it allows researchers to understand the underlying motivations and reasons behind people's actions and attitudes.