 What is an example of a good hypothesis?

To establish cause and effect on the variables, a solid experimental hypothesis may be phrased as an if-then statement. If you modify the independent variable, the dependent variable will react. As an example of a hypothesis, consider the following: Corn plants will grow more each day if the length of light is increased. This hypothesis can be expressed as "If X is done, then Y will happen." In this case, the unknown factor is "if X is done". The hypothesis states that something will happen if X is done.

Hypotheses are important tools for scientists to determine what causes certain effects. They help scientists make predictions about what will happen in an experiment or observation. Scientists can then go about testing their ideas by performing experiments or observing events. Only when an idea fails to produce the expected results can scientists revise or replace it.

In science classes, students are often given hypotheses to test. For example, a scientist might give the class these two hypotheses: 1 Sugar molecules attract water molecules by polar attraction; 2 Water molecules attract one another by van der Waals forces. Students are then asked to conduct experiments to see which ones produce the predicted results. They might measure the concentration of sugar in solution after adding different amounts of sugar to clear solutions. They could also observe how much water vapor is released into the air when different substances such as polymers or silica gel are heated.

Scientists use models to explain physical processes they cannot fully understand.

What two things does a good hypothesis always include?

An effective hypothesis connects an independent variable to a dependent variable. The influence on the dependent variable is dictated by what happens when the independent variable is changed. For example, if temperature increases by 10 degrees F, the rate of plant growth will slow down. If temperature decreases by 10 degrees F, the rate of plant growth will speed up.

A good hypothesis should: explain why it is necessary to conduct an experiment (or not); describe exactly how we can measure the effect of the independent variable (or not); and finally, indicate what will happen if the hypothesis is wrong (or not).

For example, let's say that we want to know how much fertilizer plants need. There are two ways to find out: do some experiments or use statistics. If we did some experiments, we would spread different amounts of fertilizer on some plots and then watch which ones grew the most. Then we could say that 20 pounds of fertilizer is enough for our garden. Statistics is looking at the amount of fertilizer used by the biggest companies in the world and seeing what percentage of their yield was due to fertilization costs. We would then say that they needed about 5 pounds of nitrogen per year for each \$1000 of revenue, since 20 divided by 1000 is 0.02.

What is the correct form for a hypothesis?

A good hypothesis will be expressed as a statement or question that asks: Who or what do you anticipate the dependent variable(s) to affect? The independent variable(s): who or what do you think will influence the dependent variable? What do you think the outcome will be? Why are these things important?

A hypothesis should not only explain how you intend to test your idea but also should include an explanation of why your idea makes sense. Remember, your hypothesis is only as good as its weakest link - so make sure that you give proper attention to even seemingly minor details.

There are two forms of hypotheses: specific and general. Specific hypotheses state exactly what relationship is expected to exist between the independent and dependent variables. For example, a study might ask whether increasing the amount of water in the soil will increase the growth of plants. The experiment would be considered specific because it expects to find a correlation between water availability and plant growth. General hypotheses are more open-ended than specific ones. They can be thought of as broad statements about what will happen under different conditions. For example, a study might ask what effect changing the number of plants from 1 to 2 had on the growth of the plants. Even though this study does not specify how much water the soil contained, it is still considered a general hypothesis because it tells us something about how adding plants affects the growth of those plants. 