Determine whether the statement is true or false. If it is fal...

Question

Determine whether the statement is true or false. If it is false, rewrite it as a true statement.

Inferential statistics involves using a population to draw a conclusion about a corresponding sample.

Accepted Answer

Hello there. Today we're going to solve the following practice problem together. So first off, let us read the problem and highlight all the key pieces of information that we need to use in order to solve this problem. What is the primary purpose of inferential statistics in data analysis? Awesome. So it appears for this particular problem we're trying to figure out what is the primary reason or purpose for using inferential statistics in data analysis. So now that we know what we're ultimately trying to solve for, let's read off our multiple choice answers to see what our final answer might be. A is to organize data into charts and tables. B is to make predictions about a population based on a sample. C is to calculate the exact mean of an entire population, and then finally D is to record data from every individual in a population. Awesome. So our first major step in order to solve this problem is we need to recall and understand what exactly is inferential statistics. So as we should recall, inferential statistics is a type of method used to make predictions or generalizations about a population based on data that is obtained from a sample. Which it's important to note and recall that a sample is just a piece of the larger population, whereas the population would be all 100 individuals being studied, whereas a sample could be 40 out of the 100 overall population. So, with that in mind, now that we know the definition of inferential statistics, the purpose of inferential statistics, as we should recall, the main goal is to use information from a small manageable group, which is in this case a sample, to make educated guesses about the larger group, the population as a whole. This is essential when collecting data from an entire population is considered to be impractical or impossible. You sometimes the entire population can be an extremely large number, and it's unrealistic to try to analyze every single individual in that population. So, with that in mind, in conclusion, inferential statistics help researchers draw conclusions about a population using sample data. So with that in mind, our final answer without a doubt has to be multiple choice answer letter B, which once again is to make predictions about a population based on a sample. Thank you so much for watching. Hopefully that helped, and I can't wait to see you in the next video. Bye.

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Determine whether the statement is true or false. If it is false, rewrite it as a true statement.
Inferential statistics involves using a population to draw a conclusion about a corresponding sample.

Key Concepts

Inferential Statistics

Population vs. Sample

True Statement Revision

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Determine whether the statement is true or false. If it is false, rewrite it as a true statement.Inferential statistics involves using a population to draw a conclusion about a corresponding sample.