What is the dependant variable in science

what is the dependant variable in science

Independent and dependent variables

Jan 12,  · A dependent variable is the variable that is tested and measured in a scientific experiment. It is sometimes called the responding variable. The dependent variable gets its name from the fact that it depends on the independent variable. Jan 24,  · A dependent variable is the variable being tested in a scientific experiment. The dependent variable is "dependent" on the independent variable. As the experimenter changes the independent variable, the change in the dependent variable is observed and recorded. When you take data in an experiment, the dependent variable is the one being measured.

General Education. Independent and dependent variables are important for both math and science. If you don't understand what these two variables are and how they differ, you'll struggle to analyze an experiment or plot equations. Fortunately, we make learning these concepts easy! In this guide, we break down what independent and dependent variables aregive examples of the variables in actual experiments, explain how to properly graph them, provide how to write a proforma invoice letter quiz to test your skills, and discuss the one other important variable you what is the use of phenolphthalein indicator to know.

A variable is something you're trying to measure. It can be practically anything, such as objects, amounts of time, feelings, events, or ideas. If you're studying how people feel about different television shows, the variables in that experiment are television shows and feelings. If you're studying how different types of fertilizer affect how tall plants grow, the variables are type of fertilizer and plant height. There are two key variables in every experiment: the independent variable and the dependent variable.

The independent variable sometimes known as the manipulated variable is the variable whose change isn't affected by any other variable in the experiment.

Either the scientist has to change the independent variable herself or it changes on its own; nothing else in the experiment affects or changes it. Two examples of common independent variables are age and time. There's nothing you or anything else can do to speed up or slow down time or increase or decrease age.

They're independent of everything else. The dependent variable sometimes known as the responding variable is what is being studied and measured in the experiment. It's what changes as a result of the changes to the independent variable. An example of a dependent variable is how tall you are at different ages. The dependent variable height depends on the independent variable age.

An easy way to think of how to coach a netball team and dependent variables is, when you're conducting an experiment, the independent variable is what you change, and the dependent variable is what changes because of that. You can also think of the independent variable as the cause and the dependent variable as the effect.

It can be a lot easier to understand the differences between these two variables with examples, so let's look at some sample experiments below. Below are overviews of three experiments, each with their independent and dependent variables identified. Experiment 1: You want to figure out which brand of microwave popcorn pops the most kernels so you can get the most value for your money. You test different brands of popcorn to see which bag pops the most popcorn kernels.

Experiment 2 : You want to see which type of fertilizer helps plants grow fastest, so you add a different brand of fertilizer to each plant and see how tall they grow.

Experiment 3: You're interested in how rising sea temperatures impact algae life, so you design an experiment that measures the number of algae in a sample of water taken from a specific ocean site under varying temperatures.

For each of the independent variables above, it's clear that they can't be changed by other variables in the experiment. You have to be the one to change the popcorn and fertilizer brands in Experiments 1 and 2, and the ocean temperature in Experiment 3 cannot be significantly changed by other factors.

Changes to each of these independent variables cause the dependent variables to change in the experiments. Independent and dependent variables always go on the same places in a graph. This makes it easy for you to quickly see which variable is independent and which is dependent when looking at a graph windows xp how to repair system files chart.

The independent variable always goes on the x-axis, or the horizontal axis. The dependent variable goes on the y-axis, or vertical axis. As you can see, this is a graph showing how the number of hours a student studies affects the score she got on an exam.

From the graph, it looks like studying up to six hours helped her raise her score, but as she studied more than that her score dropped slightly. The amount of time studied is the independent variable, what teams did babe ruth play for baseball it's what she changed, so it's on the x-axis.

The score she got on the exam is the dependent variable, because it's what changed as a result of the independent variable, and it's on the y-axis. It's common to put the units in parentheses next to the axis titles, which this graph does.

There are different ways to title a graph, but a common way is "[Independent Variable] vs. Using a standard title like that also makes it easy for others to see what your independent and dependent variables are. Independent and dependent variables are the two most important variables to know and understand when conducting or studying an experiment, but there is one other type of variable that you should be aware of: constant variables.

Constant variables also known as "constants" are simple to understand: they're what stay the same during the experiment. Most experiments usually only have one independent variable and one dependent variable, but they will all have multiple constant variables. For example, in Experiment 2 above, some of the constant variables would be the type of plant being grown, the amount of fertilizer each plant is given, the amount of water each plant is given, when each plant is given fertilizer and water, the amount of sunlight the plants receive, the size of the container each plant is grown in, and more.

The scientist is changing the type of fertilizer each plant gets which in turn changes how much each plant grows, but every other part of the experiment stays the same.

In experiments, you have to test one independent variable at a time in order to accurately understand how it impacts the dependent variable. Constant variables are important because they ensure that the dependent variable is changing because, and only because, of the independent variable so you can accurately measure the relationship between the dependent and independent variables.

If you didn't have any constant variables, you wouldn't be able to tell if what is the dependant variable in science independent variable was what was really affecting the dependent variable. For example, in the example above, if there were no constants and you used different amounts of water, different types of plants, different amounts of fertilizer and put the plants in windows that got different amounts of sun, you wouldn't be able to say how fertilizer type affected plant growth because there would be so many other factors potentially affecting how the plants grew.

If you're still having a hard time understanding the relationship between independent and dependent variable, it might help to see kitchenaid oven how to self clean in action. Here are three experiments you can try at home.

One simple way to explore independent and dependent variables is to construct a biology experiment with seeds. Try growing some sunflowers and see how different factors affect their growth. For example, say you have ten sunflower seedlings, and you decide to give each a different amount of water each day to see if that affects their growth.

The independent variable here would be the amount of water you give the plants, and the dependent variable is how tall the sunflowers grow. Explore a wide range of chemical reactions with this chemistry kit.

Build and test a range of simple and complex machines with this K'nex kit. How does increasing a vehicle's mass affect its velocity? Can you lift more with a fixed or movable pulley? Can you identify the independent and dependent variables for each of the four scenarios below? The answers are at the bottom of the guide for you to check your work. Scenario 1: You buy your dog multiple brands of food to see which one is her favorite. Scenario 2: Your friends invite you to a party, and you decide to attend, but you're worried that staying out too long will affect how well you do on your geometry test tomorrow morning.

Scenario 3: Your dentist appointment will take 30 minutes from start to finish, but that doesn't include waiting in the lounge before you're what is the dependant variable in science in. The total amount of time you spend in the dentist's office is the amount of time you wait before your appointment, plus the 30 minutes of the actual appointment. Scenario 4: You regularly babysit your little cousin who always throws a tantrum when he's asked to eat his vegetables.

Over the course of the week, you ask him to eat vegetables four times. Knowing the independent variable definition and dependent variable definition is key to understanding how experiments work.

The independent variable is what you change, and the dependent variable is what changes as a result of that. When graphing these variables, the independent variable should go on the x-axis the horizontal axisand how to repair faded leather furniture dependent variable goes on the y-axis vertical axis. Constant variables are also important to understand. They are what stay the same throughout the experiment so you can accurately measure the impact of the independent variable on the dependent variable.

Independent and dependent variables are commonly taught in high school science classes. Read our guide to learn which science classes high school students should be taking. Scoring well on standardized tests is an important part of having a strong college application.

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Different Types of Variables in Science

Apr 26,  · A dependent variable is the variable that you observe and measure. You have no control over the dependent variable; you want to observe what happens to the dependent variable when you change the independent variable. May 20,  · The variables in a study of a cause-and-effect relationship are called the independent and dependent variables. The independent variable is the cause. Its value is independent of other variables in your study. The dependent variable is the effect. Its value depends on changes in the independent variable. The dependent variable (sometimes known as the responding variable) is what is being studied and measured in the experiment. It's what changes as a result of the changes to the independent variable. An example of a dependent variable is how tall you are at different ages. The dependent variable (height) depends on the independent variable (age).

The independent and dependent variables are key to any scientific experiment, but how do you tell them apart? Here are the definitions of independent and dependent variables, examples of each type, and tips for telling them apart and graphing them. The independent variable is the factor the researcher changes or controls in an experiment. It is called independent because it does not depend on any other variable. The dependent variable is the factor that changes in response to the independent variable.

It is the variable that you measure in an experiment. First, remember the dependent variable depends on the independent variable. It helps to write out the variables as an if-then or cause-and-effect sentence that shows the independent variable causes an effect on the dependent variable.

Example : The amount of eat independent variable affects how much you weigh dependent variable. If-then statements also work: Example : If you change the color of light independent variable , then it affects plant growth dependent variable. Switching the variables makes no sense: Example : If plant growth rate changes, then it affects the color of light. This can make identifying the variables a bit trickier, but establishing a logical cause and effect relationship helps: Example : If you increase age independent variable , then average salary increases dependent variable.

Plot or graph independent and dependent variables using the standard method. The independent variable is the x-axis, while the dependent variable is the y-axis. This site uses Akismet to reduce spam. Learn how your comment data is processed. Search for:. Leave a Reply Cancel reply.

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