1. Lesson 10.7
Concept: How to compare and select samples of a population. Learn about different methods of sampling.
Guidelines: There are different sample types that can produce a biased result.
Biased: to present something in a slightly positive or negative way in that the outcome is compromised. Causing a tendency to yield one outcome or answer more frequently than others in a statistical experiment.
The four sampling types are convenience sampling, random sampling, self-selected sampling, and systematic sampling.

2. Convenience sampling: A sampling method in which easy to reach members of a population are chosen.
Random sampling: A sampling method in which each member of a population has an equally likely chance of being chosen.
Self-selected sampling: A sampling method in which members of a population volunteer to be part of the sample.
Systematic sampling: A sampling method in which a pattern is used to select members of a population.

3. Ronnie wants to survey 6th graders to find out how many of them play sports on the weekends. Identify the type of samples described, and decide if each is biased.
Population A. Survey all the 6th graders who are participating in a school sport on any given school day.
This is a convenience sampling. It is biased because many school games are played on the weekend.
Population B. Place every 6th grade student’s name in a hat and randomly select 50 names to survey.
This a random sample. It is not biased.
Population C. Survey the first 50 students who volunteer because they will receive extra credit.
This is a self-selected sampling. It is biased because the volunteers are bribed with extra credit points.
Population D. Survey every tenth 6th grade student in the lunch line.
This a random sample. It is not biased.

4. There is a $5000. 00 surplus in the school budget
There is a $ surplus in the school budget. You need to find out from the teachers how they want to spend the money. Give an example of each sample type and tell if the results of the sample would be biased or not.
convenience sample random sample self-selected sample systematic sample