Chapter 7 - Variation

Question 0

What is sampling bias?

Answer 0

Where the selection process is biased. This is where the investigators are deliberately or unwittingly making unrepresentative choices such as not choosing a certain sample of the population

Question 1

What is sampling?

Answer 1

Taking measurements from individuals selected from the population of organisms that is being investigated

Question 2

what is chance?

Answer 2

Where the individual samples a by chance not representative. This could be because all of the sample individuals are all of one measurement in the population.

Question 3

Give three ways to reduce the effects of chance and sampling bias?

Answer 3

Remove human involvement in selection process:
1) random sampling

2) use large sample size
3) analysis of the collected data

Question 4

How does random sampling eliminate chance or sampling bias?

Answer 4

By getting a non-biased and insentient computer to randomly choose a number associated with an organism, there is no subjectivity involved in choosing.

Question 5

How does using a large sample size reduce sampling bias?

Answer 5

The more individuals are selected, the smaller the probability it will influence the result as there is less chance a high proportion of organisms will deviate from the true mean

Question 6

How does data analysis eliminate sampling bias?

Answer 6

By checking the data, we can see to what extent chance may have influenced the results and will allow us to decide if variation is true or is a result of chance.