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Answer:
False. Is the inverse process.
See explanation below.
Step-by-step explanation:
We need to remember two important concepts:
A parameter, is a quantity or value who describe a population desired, for example the population mean or the population standard deviation
A statistic, is a quantity or value who represent the information of the sample data, for example the sample mean or the sample deviation
Based on this we can analyze the statement:
"Inferential statistics involves using population data to make inferences about a sample"
False. Is the inverse process.
If we know the population data then we indeed have parameters and we don't need to do any type of inference in order to estimate these parameters with the statistics.
What we do generally is use the information from the sample in order to obtain statistics representative of the population with the aim to estimate the parameters unknown of the population