answersLogoWhite

0

cause th number22

User Avatar

Wiki User

12y ago

What else can I help you with?

Related Questions

What tests a hypothesis?

A hypothesis is tested by having trials


What is number of trials?

Number of trials is how many times you test your hypothesis. When you are doing trials the end result may come out differently every time.


What is numbering trials?

Number of trials is how many times you test your hypothesis. When you are doing trials the end result may come out differently every time.


How do you do the hypothesis?

An hypothesis is an assumption that is taken to be true or valid for the purposes of scientific debate or research .


Why were many trials taken averaged?

Begs Jack never


Why were trials taken and averaged?

So that you could compare results


Steps to be taken for falsification of cv?

proving a hypothesis to be false.


Why are hypothesis and theories related?

its because are made after lots of observations,experiments,trials,and conclusion only that theory is widely acceptable


What is a hypothesis that has been tested many times and found to be true?

If a hypothesis has been tested many times (using approved experimental methods), and each test has proven the hypothesis to be true, the hypothesis can be taken to be a fact, or truth.


How can you verify a hypothesis?

To verify a hypothesis, you can conduct experiments or gather observational data to test its predictions. This involves designing a study that controls for variables and allows for repeatability. Analyzing the results statistically can help determine whether the data supports or refutes the hypothesis. Ultimately, the hypothesis is confirmed if the evidence consistently aligns with its predictions across multiple trials or observations.


When following the steps of the scientific method when are measurements taken?

the answer is just before the hypothesis is made.


What role does Random Sampling Distribution in hypothesis testing?

It is an assumption to hypothesis testing. I can not comment on the significance of a violation of these assumptions without knowing how the non-random sample was taken.