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∙ 12y agoWe controlled the independent variable (the variable we manipulated) to observe its effect on the dependent variable (the variable we measured). We also controlled for any potential confounding variables that could influence the results. Additionally, we ensured consistency in experimental conditions to eliminate any extraneous variables that could impact the outcome.
To make an experiment more valid, ensure that the sample size is representative of the population, use random assignment to assign participants to groups, and control for any confounding variables that could impact the results.
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To ensure valid results, it is best to only change one variable at a time during an experiment. This allows you to understand the specific impact of that variable on the outcome. Changing multiple variables simultaneously can make it difficult to determine which factor is responsible for any observed changes.
A javelin must stick horizontally into the ground, without leaning to either side, in order to be considered valid for measurement in competition. If the javelin lands pointed downward or at an angle, it will not be counted.
In a valid experiment, only the independent variable can be deliberately changed by the researcher to observe its effect on the dependent variable. Other factors, known as constants, must remain the same to ensure that any observed changes in the dependent variable are a result of the independent variable manipulation.
To be valid, an experiment must not include bias, confounding variables, or unreliable measures in order to accurately assess the cause-and-effect relationship between variables.
To make an experiment more valid, ensure that the sample size is representative of the population, use random assignment to assign participants to groups, and control for any confounding variables that could impact the results.
No. It is not valid.
In a valid experiment all the variables are kept the same apart from those being investigated.
to represent the population.at random. -apex (;
Yes, a mathematical expression can have no variables, but such an expression is usually not very useful. An example of a valid expression without variables is: 1+1=2
Control is important in an experiment to eliminate the influence of variables other than the one being tested. By having a control group that is not exposed to the experimental treatment, researchers can accurately gauge the true effect of the independent variable on the outcome. This allows for valid and reliable conclusions to be drawn from the experiment.
Case-sensitivity relates to the way in which multiple variables and function names can have the same name, differentiated by their casing. For example:int result = 1;int Result = 2;int RESULT = 3;Although these declarations are valid, and unambiguous as far as the compiler is concerned, it's best to avoid mixing your cases like this. Sooner or later you'll refer to result when you really meant Result, and the compiler won't be able to help you find the error.By convention, all-uppercase variables represent constants, making them easy to spot amongst actual variables.
A valid experiment is characterized by a clear hypothesis, a control group for comparison, random assignment of participants, and the ability to replicate the results. It should also have ethical considerations and controls in place to minimize bias and confounding variables.
The function of a control in biological experimentation is to provide a baseline to compare the results of the experimental group against. Controls help ensure that any changes observed are due to the manipulation of the independent variable and not to other factors. This helps researchers draw valid conclusions from their experiments.
Yes, it would be a valid test.
Direct proportion, linear, first-order... all of these are valid answers, depending on the particular field you're talking about.