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To begin forming a hypothesis, you must observe your problem and try to imagine possible solutions. In other words, you must determine the cause and effect of possible explanations, so you can then determine if they can be proven wrong

It relates because "cause and effect" is often used to find out the outcome of something. A hypothesis is a prediction on what you are about to find out

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Q: What are the cause and effect of hypothesis?
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Related questions

What is a cause-effect relationship?

It is the relationship between something happening (an effect) and why it happens (what causes it). So a simple example would be if I push you (the cause) you will move (the effect).


3 examples of cause and effect hypothesis?

Give 3 example of cause and effect


What is needed to create a hypothesis?

cause and effect


A statement that proposes a cause and a effect between two variables?

hypothesis


What should a hypothesis be based on?

An unexplained observation between cause and effect.


What are the kind of hypothesis?

the 3 kinds of hypothesis are: 1. alternative: this is the hypothesis that is affirmative, positive, and approving..... this gives a positive possible result of the experiment. 2. null: this is a negative hypothesis about the experiment........ 3. cause and effect: this kind of hypothesis gives a cause and effect hypothesis.... this has the "if & then" clause...... (example: "if sunlight affects the growth of plants, then it might slow down or fasten the plant's growth.")


What is a statment that predicts a relationsip between cause and effect in a way that can be tested?

hypothesis


A statement of cause and effect that can be used to set up a test for a hypothesis is called?

a prediction


Example of cause and effect hypothesis?

for example i want to go in school but i have a sick.That's why i cant go to school the cause - i have a sick the effect - i cant go to school now...


Major differences between non experimental and experimental research?

Non experimental does not require hypothesis and varaiable manipulation. No cause & effect.


Why is it important to establish a cause and effect between the selected known variable and unknown variables?

To show the highest degree of validity of a hypothesis.


What is causal studies?

Casual studies are study methods that test a hypothesis in a market situation to better understand cause and effect relationships.