Answer:
Clarified below.
Detailed explanation:
A population refers to the entire group of data available for analysis, from which a smaller set is selected for closer scrutiny. This population can include individuals, articles, experiments, or measurements. Hence, a population represents a compilation of data pertaining to subjects that are linked by a shared feature.
A sample is a smaller, manageable portion derived from a larger group. It embodies the traits of a broader population. Samples are utilized in statistical tests when the overall population size is too vast to feasibly include all members in the analysis.
A parameter plays a significant role in statistical analysis. It refers to the attributes that characterize a specific population. Examples include population mean, population standard deviation, population proportion, etc.
When forming a statistical inference about the population being examined, the parameter value remains unknown because collecting data from every single individual in the population is unfeasible. Therefore, a sample is drawn from the population to draw conclusions about the parameter.
A statistic is the calculated value derived from this sample's characteristics. For instance, this includes sample mean, sample standard deviation, sample proportion, etc.
The matched pairs are represented as follows:
Population: 2. All Toyota Camry (2020 US) model vehicles.
Sample: 4. A selection of 117 Toyota Camry (2020 US) vehicles that were picked.
Parameter: 7. The mean mileage of all Toyota Camry (2020 US) model vehicles.
Statistics: 6. The city mileage averaged for the 117 sampled Toyota Camry (2020 US) cars, which is 27.8 mpg.
