Understanding Parameters and Statistics

The video tutorial introduces key statistical vocabulary, focusing on the concepts of population, sample, parameter, and statistic. It explains how a population encompasses all data of interest, while a sample is a subset of that population. Parameters describe populations, and statistics describe samples. Through examples like political polls, vehicle ages, and household incomes, the tutorial illustrates how statistics are used to infer parameters, emphasizing the importance of understanding these concepts in inferential statistics.

What is the term for all the data of interest in a study?

• Parameter

• Population

• Statistic

• Sample

In a political poll, what is the subset of the population called?

• Statistic

• Population

• Parameter

• Sample

What does a parameter describe?

• A sample

• A survey

• A statistic

• A population

In the context of a poll, what is the term for a number describing a sample?

• Statistic

• Parameter

• Sample

• Population

If 38% of a sample plans to vote for a candidate, what is this percentage called?

• Sample

• Population

• Statistic

• Parameter

What is the population in the example of the average age of vehicles?

• All vehicles in the USA

• All registered vehicles in New York DMV

• 50 randomly selected vehicles

• All vehicles in New York

In the vehicle example, what is the statistic?

• Median age of vehicles

• Average age of 50 randomly selected vehicles

• Total number of vehicles

• Average age of all vehicles in New York

What is the parameter in the household income example?

• Average income of US households

• Median income of all US households

• Total income of US households

• Median income of Chicago households

In the income example, what does the number $70,760 represent?

• A population

• A sample

• A statistic

• A parameter

What is the sample in the household income example?

• All US households

• Households in Chicago

• All households in 2018

• Households in New York