A researcher studies the effectiveness of managers at a small company containing 46 employees. The researcher interviews every employee, gathers data, analyzes the data, and writes up a report of her findings for company management. Company management uses the report to improve their administration of the company. This is an example of:


sampled statistics


projective analysis

descriptive statistics

inferential statistics

I'm not sure which is right!!! PLZ HELP

Based on the provided information, the scenario described is an example of descriptive statistics.

Descriptive statistics involves collecting, organizing, summarizing, and presenting data in a way that accurately describes the sample or population being studied. In this case, the researcher interviews every employee, collects data from them, and then analyzes the data to present findings in a report. The purpose is to provide a clear and comprehensive description of the current state of the company's managers, their effectiveness, and any insights that can be derived from the data collected.

On the other hand, inferential statistics would involve making predictions or drawing conclusions about a larger population based on a smaller sample. In this scenario, however, the researcher does not mention using the collected data to make inferences or predictions beyond the small company being studied. Therefore, inferential statistics is not applicable here.

Sampled statistics typically involve collecting data from a subset (sample) of a larger population, while projective analysis refers to the use of statistical techniques to predict future outcomes based on historical data. Since the researcher gathers data from every employee in the small company, neither sampled statistics nor projective analysis seem to be the most accurate description for this scenario.

Thus, based on the information provided, the most appropriate term to describe this scenario is descriptive statistics.

i got it!!!