It needs one counter example.
Facts.
A falsifiable hypothesis is one that can be proven false through observation or experimentation. For example, "All swans are white" is a falsifiable hypothesis because it can be proven false by finding a single black swan.
A non-falsifiable hypothesis is a statement that cannot be proven false through observation or testing. An example of a non-falsifiable hypothesis is "There is an invisible unicorn living on the dark side of the moon." Since it is impossible to observe or test the existence of an invisible unicorn on the dark side of the moon, this hypothesis cannot be proven false.
you can prove a hypothesis false by giving a counterexamplesay you had the hypothesis "all whole numbers are odd", which holds for 1 and 3 but once you try 2 the hypothesis is proved wrongbut giving a lot of examples that are consistent with the hypothesis does no prove it to be truethe fact that you haven't found any counterexamples doesn't mean there aren't any Most science uses inductive reasoning.APEX ___________________ Take this make-believe scenario: I am investigating the properties of water, and I need to know all I can about how water, ice and heat interact. I know that when water gets cold enough, it freezes, and that when ice is exposed to heat, it melts. I might come up with a hypothesis-- a first attempt to understand what is happening with water and ice. I hypothesize: Since water is the liquid state of H2O, and liquids are warmer than their solid forms, water must be warmer than ice. It must be that as soon as water forms from melting ice, it is at least a little warmer than the ice. After all, at zero degrees water becomes ice. At this point, I do not know for sure, but I am speculating (hypothesizing) based on the general information that I have. I wonder how I can test my hypothesis: Let us assume that I can measure the temperature of ice and of water with great accuracy. I should be able to easily make a mixture of ice and water, while measuring the temperature of each independently.If my hypothesis is correct, I will find that at one atmosphere of pressure and in a chamber kept at exactly zero degrees Celsius the ice will warm to zero degrees Celsius and it will get no warmer. When it is warmer, it is water and not ice.I will also observe that the water will be at least a little above zero degrees Celsius when it first melts away from the ice.I apply heat to the ice and some ice melts.To my surprise and annoyance, I find that the water is exactly zero degrees Celsius. We have a problem. My fellow engineers need an answer, and I've been hyping my hypothesis all over the place. Eureka! I have found it! Keeping the chamber at zero degrees is the problem; as soon as the ice melts, the chamber air starts to cool the water, and it must also be cooling the thermometers, leading to an experimental error in the readings! I'll keep the chamber at 5 degrees Celsius. I go back to the lab and I notice that my containers now all have a mix of ice and water, and the chamber is at exactly zero degrees Celsius. Not only that, all the ice is now at zero degrees Celsius, and so is the water! Exactly! Now I am just plain confused. I leave the chamber exactly as it is for several days and nothing changes. Everything in the chamber is verified to be at zero degrees Celsius, water is not in the process of freezing, and the ice is no longer melting. It just all stays in equilibrium. If my hypothesis were correct, there would be no water in the chamber, because supposedly at zero degrees Celsius all water is ice, and water is always at least a little above zero degrees. My hypothesis has tanked; time for a new one. I wonder and wonder, and spend a few sleepless nights. Then I realize-- it has something to do with heat; it must. It has something to do with adding or with taking away heat... Hmmm. Testing a hypothesis is something like that. You wonder, and you explore. Hypotheses develop, and may become well-known theories when they seem to be able to withstand test after test designed to expose them false. When you think about it, how would you develop an experiment that exposes a hypothesis as true? They would be the very same tests, with results that support the hypothesis. Reality determines the outcome, not really the 'test'. A silly or inconsequential test will still show results in support of reality. But as mentioned above, even if all completed tests support a hypothesis, that is not to say that some unexpected approach will not be applied tomorrow.
True or False: Qualitative research focuses on gathering non-numeric data to understand social phenomena in depth. True or False: Random sampling ensures that every individual in a population has an equal chance of being selected in a study. True or False: Correlation implies causation, meaning that the relationship between two variables suggests that one causes the other. True or False: A hypothesis is a testable statement that predicts the relationship between two variables in a research study.
An example of a bad hypothesis would be: "All birds can fly." This is a bad hypothesis because it is too broad and cannot be easily tested or proven.
Generally, creating a hypothesis is a no-win situation. The hypothesis you devise must be provable false. Your data will either prove your hypothesis false or it will fail to prove the hypothesis false. You can never prove a proper hypothesis true. Science does not prove truth, it simply discards the false.
If a hypothesis does not generate any observational tests, there is nothing that a scientist can do with itRead more: Explain_why_a_hypothesis_must_be_testableANS2:If an hypothesis is not testable, it cannot be provable false. If it cannot be provable false it cannot be supported. If it cannot be supported, it adds nothing to science. An hypothesis is a "no-win" proposition. You need to try to prove it false. That being the case, you either prove it false (lose) or you fail to prove it false (lose). Failing to prove an hypothesis false is the basis for supporting it.
It is rare and difficult to prove a hypothesis true or false through experimentation. While it is typically easy to prove something completely false, proving it true is another story.
It is false.
"refute" means to prove to be false or erroneous. Therefore you should abandon your hypothesis because it is wrong.
In Karl Popper's terminology there must be a way to prove a hypothesis false. That is what it means when scientists say that a specific hypothesis is a "testable hypothesis".
it is a educated guessANS2:You can answer the hypothesis by either proving it false or by failing to prove it false. One must never claim to have proven an hypothesis true. Truth does not exist in science. You can find truth in logic, mathematics, and religion.
To prove the hypothesis. To disprove the hypothesis.
one
It is a falsifiable theory about some scientific aspect. Falsifiable means that it must be possible to devise a test whose outcome can prove the hypothesis is false.
Scientific theories can be disproved. This is a key part of the scientific method, creating hypothesis that can be disproved if they are incorrect. However, you can never really prove a hypothesis - you can find evidence that either fits or doesn't fit. If it doesn't fit the hypothesis needs to be revised or thrown out. If the evidence supports the hypothesis, there may be something that you are missing which may reject the hypothesis.
It is impossible to prove a hypothesis true or false definitively. A hypothesis is a proposed explanation for a phenomenon that requires testing through experimentation and evidence gathering, but it cannot be definitively proven without a complete understanding of all factors involved.