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
By Linda
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).
An unexplained observation between cause and effect.
a prediction
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...
the different between cause and effect.... cause=what cause the problem or what cause it to become a problem effect=what effect did it have on it hope that help u(:
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).
Give 3 example of cause and effect
cause and effect
hypothesis
An unexplained observation between cause and effect.
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.")
hypothesis
a prediction
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...
Non experimental does not require hypothesis and varaiable manipulation. No cause & effect.
To show the highest degree of validity of a hypothesis.
Casual studies are study methods that test a hypothesis in a market situation to better understand cause and effect relationships.