A hypothesis is an educated guess, therefore, you would put anything that you belive is true and you have possibly some background knowledge about it (give some reason why you think your opinion is true) IE: I think that salt decreases the freezing point of water because people sprinkle it on their driveways to stop snow from filling them up (practical background) or you could put in some scientific background such as the chemical composition of salt and what it does to water, etc.
A hypothesis is a statement that predicts the relationship between two or more variables in a research study. It typically includes the variables being studied, the direction of the relationship (positive or negative), and the expected outcome based on existing knowledge or theory.
A possible hypothesis for a shopping survey could be: "Customers who receive personalized recommendations will make more purchases than those who do not receive any recommendations."
P values are a measure used in statistical hypothesis testing to determine the strength of evidence against the null hypothesis. A low p value (usually less than 0.05) suggests that there is strong evidence to reject the null hypothesis, indicating that there is a significant difference or effect.
The independent variable in this hypothesis is having a pet. It is the variable that is being manipulated or changed to observe its effect on stress levels.
The hypothesis you are referring to is known as the "rich get richer" hypothesis in the context of online social networks. It suggests that individuals who are already popular offline will experience even more popularity and visibility through their online interactions and connections.
A significance level of 0.05 is commonly used in hypothesis testing as it provides a balance between Type I and Type II errors. Setting the significance level at 0.05 means that there is a 5% chance of rejecting the null hypothesis when it is actually true. This level is widely accepted in many fields as a standard threshold for determining statistical significance.
What is the hypothesis of a science question
so you have to put in did it help you explain your hypothesis
For a hypothesis to be put forward as a scientific hypothesis, the scientific method requires that one can test it.
For a hypothesis to be put forward as a scientific hypothesis, the scientific method requires that one can test it.
For a hypothesis to be put forward as a scientific hypothesis, the scientific method requires that one can test it. A working hypothesis is a provisionally accepted hypothesis proposed for further research.
Hypothesis: Will the speed of the parachute increase when more weight is put in to it and will it go slower if less weight is put in
That is a failed hypothesis. Although this sounds like a bad thing, in science it is actually an example of good science. The philosopher Karl Popper declared that real science was defined by hypothesis that could be tested and proven false or true. For example you can make a hypothesis that the falling speed of a body is proportional to its mass. The hypothesis can be put to test and shown false. This was the difference in World view between Aristoteles and Gallilei: Aristoteles put forward the hypothesis and Galilei tested it. Pseudo-science like astrology, religion, philosophy, politics and so on does not put forward testable hypothesis. No pseudo-science dare to put forward a testable hypothesis.
my daughter came up with the wrong hypothesis on how to put mmy nexflex togather
eat Twizzlers
I have nothing to refute your hypothesis.
One hypothesis is that colors can evoke certain emotions and psychological responses, influencing behavior. For example, studies suggest that red may increase arousal, blue may promote a sense of calmness, and green may enhance feelings of tranquility and connection to nature. However, individual differences, cultural backgrounds, and personal experiences can also play a role in how colors affect behavior.
No. An hypothesis is an idea put forward to explain an observation. Often you do the experiment to test the hypothesis. The results of the experiment may help you decide whether to discard your hypothesis or to test it further.