{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

03-Sampling complete

# In most statistical studies the objective is to use a

This preview shows page 1. Sign up to view the full content.

This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: information to make conclusions about a larger group of items/individuals than just those in the sample. In most statistical studies, the objective is to use a small group of units (the sample) to make an inference (a decision or judgment) about a larger group (the population). Definitions: Population: The entire group of items/individuals that we want information about, about which inferences are to be made. Sample: The smaller group, the part of the population we actually examine in order to gather information. Variable: The characteristic of the items or individuals that we want to learn about. One way to view these terms is through a Basket Model: Population= basket of balls, 1 ball for each unit in population. X = variable (value of variable is recorded on each ball as small x) 23 Sample = a few balls selected from the basket. Fundamental Rule for Using Data for Inference: Available data can be used to make inferences about a much larger group if the data can be considered to be representative with regard to the question(s) of interest. One principal way to guarantee that sample data represents a larger population is to use a (simple) random sample. Try It! Exercise 5.18 and 5.19 page 177 For each situation explain whether or not the Fundamental Rule holds. 1. Rese...
View Full Document

{[ snackBarMessage ]}