While controlled experiments can offer compelling evidence to support a hypothesis or theory, not all ideas are tested this way.
i
What do you mean by "value"?Certainly, if a theory is supposed to have scientific value (if it tells us something new about the world around us), there must be evidence to support it, or else it were a bad theory (or actually not a real theory at all).However, every scientific theory starts off as a hypothesis, which is basically just a "quaint idea". By testing that hypothesis (and obtaining positive results), it might actually be developed into a real theory. If the evidence speaks against the hypothesis, the idea just dies right there (or at least it should).So, a hypothesis has to be testable to have value (so it can "grow" into a theory).
Philosophically, I tend to say that all things are possible, but scientifically there are initial conditions that make all but one result unlikely.Probability is a measure or estimation of how likely it is that something will happen or that a statement is true. Probabilities are given a value between 0 (0% chance or will not happen) and 1 (100% chance or will happen). The higher the degree of probability, the more likely the event is to happen.
what is the differnence between gross calorific value and useful heat value
Anything that many want but few have will have high value. Things that are difficult to make often have high value. But for something to have value it must have UTILITY.
Kelvin (value suffixed by K), Celsius / Centrigrade (value suffixed by °C), Fahrenheit (value suffixed by °F), Rankine (value suffixed by °R)
Q value is the quality check point in dissolution testing
Suggestive value is a random value placed on an object that the seller would like to receive. This is often an inflated value testing what the buyer perceives as the value.
Animal testing is cruel and morally wrong.
ideas and original thoughts
In general ultrasonic velocity is considered as a constant value relative to the material.
By testing capacitor tolerance
To find the critical value in statistics, it requires a hypothesis testing. Using the critical value approach can also be helpful in this matter.
Probability of failing to reject a false null hypothesis.
Hi All, I think the answer for this question is, Testing method :Verification(review) and Validation Testing types : Basically static and dynamic-> in dynamic testing further can be classified into structural(white box) and functional(black box) testing Testing Technique : in white box testing we have 1) loop coverage 2)statement coverage 3) condition coverage 4) decision coverage in black box testing we have 1) Equilance partioning, 2)boundary value analysis 3) error guessing Testing Levels : Unit testing, integration testing systemtesting , Acceptance testing
Self-worth or self-esteem.
Quanitfy the speaker's ideas.
Probability of rejecting a true null hypothesis; that is, the alpha value or risk you are willing to take probabilistically speaking.