0
The answer is Random Sample
Wiki User
∙ 13y ago
Wiki User
∙ 7y agoIt is a random sample.
Add your answer:
Earn +20 pts
What is a sample taken without bias a random what?
Selection, choice
What are the three types of bias that can influence a science experiment?
There are many more types of bias than just three! You can have bias when you specify and select your study sample (such as selecting the wrong sample size or basing your sample on popularity), when you actually perform the experiment (such as contamination or using a bogus control), when you measure the outcomes (such as personal expectations or instrument error) and when you analyze and interpret your data (such as mistaken identity or mistaken significance). Each of these areas has several types of bias associated with it. Here is a good WikiPedia article that lists all of the different types of bias for you.
What are three types of bias that can influence a science experiment?
There are many more types of bias than just three! You can have bias when you specify and select your study sample (such as selecting the wrong sample size or basing your sample on popularity), when you actually perform the experiment (such as contamination or using a bogus control), when you measure the outcomes (such as personal expectations or instrument error) and when you analyze and interpret your data (such as mistaken identity or mistaken significance). Each of these areas has several types of bias associated with it. Here is a good WikiPedia article that lists all of the different types of bias for you.
Why could a bias be bad in science?
Science should not be bias, it either is or it isn't. If one is basing their study on a bias, they could miss or dismiss certain results because of their beliefs rather than facts. It would be faulty science.
Why is measurement important to science?
it is important so scientist can measure the things that is in concern. Proof need to be quantified and indicated. without measurement, the judgement would strongly impaired by personal bias and could not be repeated.
A sample taken without bias?
random sample
What is a sample taken without bias?
Random Sample
What is a sample that is taken without bias?
A randomly selected sample.
What is sample taken without bias?
When a p-n junction is taken without a bias, it forms a PHOTO VOLTAIC CELL.
What is a sample taken without bias a random what?
Selection, choice
What is a sample taken with out bias?
random or blind
What is an unwanted influence on a sample?
bias
How do you ensure less sample bias?
The sample should be selected randomly.
What are the three types of bias that can influence a science experiment?
There are many more types of bias than just three! You can have bias when you specify and select your study sample (such as selecting the wrong sample size or basing your sample on popularity), when you actually perform the experiment (such as contamination or using a bogus control), when you measure the outcomes (such as personal expectations or instrument error) and when you analyze and interpret your data (such as mistaken identity or mistaken significance). Each of these areas has several types of bias associated with it. Here is a good WikiPedia article that lists all of the different types of bias for you.
What are three types of bias that can influence a science experiment?
There are many more types of bias than just three! You can have bias when you specify and select your study sample (such as selecting the wrong sample size or basing your sample on popularity), when you actually perform the experiment (such as contamination or using a bogus control), when you measure the outcomes (such as personal expectations or instrument error) and when you analyze and interpret your data (such as mistaken identity or mistaken significance). Each of these areas has several types of bias associated with it. Here is a good WikiPedia article that lists all of the different types of bias for you.
What is a bias in science?
it is a good answer or choice
Why could a bias be bad in science?
Science should not be bias, it either is or it isn't. If one is basing their study on a bias, they could miss or dismiss certain results because of their beliefs rather than facts. It would be faulty science.
