In order to compare any two values, both values must be stored somewhere otherwise it would be impossible for the machine to refer to those values let alone operate upon them. Typically we store variables in main memory, however values can also be stored directly in the machine's registers. These are known as register variables and the only practical difference between a register variable and an ordinary variable is that we cannot take the memory address of a register variable (because it has no address to take).
If we can take the address of a variable then that variable is said to have identity because it exists in memory and we can identify it solely by its address. When comparing values that have identity, we can either compare the values themselves or we can compare their identities. The latter helps us determine whether two values are the same variable or not.
The address of a variable may or may not be known at compile time. If the address is known at compile time then we can name the variable and refer to it by either its name or its address. Variables generated at runtime are anonymous and can only be referred to by their address (which we must store in another variable known as a pointer variable). Conversely, register variables must always be named, but they have no identity.
Regardless of whether a variable has a name, an identity, or both, the machine simply cannot operate upon values without using variables.
If you change the variables in a science experiment, you will probably get different results.
Because they allow you to generalise results. Then, for specific value of the variables you get specific answers.
They are the same. These are names for the variables in an experiment that are controlled by the experimenter, as opposed to the output variables, the results you collect at the end of the experiment Hope this helped!
Yes, independant variables are the variables that are changed in an experiment to observe the results, called the dependant variable.
This would indicate that there is a linear relationship between manipulating and responding variables.
firstly, you have to make sure the only variables are the ones you are monitoring. secondly, you could make sure that the equipment you are using are precise. thirdly, you could try repeating your experiment, and/or comparing results with others, to make sure your results are valid, and you could try omitting anomalous results
If you change the variables in a science experiment, you will probably get different results.
* arithmetic expressions are evaluated from left to right using the rules of precedence.. * when parentheses are used,the expressions within parentheses assume highest priority... * if parentheses are nested, the evaluation begins with the inner most parentheses... * the associativity rules are applied when 2 or more operators of same precedence level appear in a sub expression
comparing two or more thing's results.
Because they allow you to generalise results. Then, for specific value of the variables you get specific answers.
It is so that the experiment is a fair test. In order to protect the integrity and / or accuracy of the experiment and its results, you have to be able to control all the variables so that you know exactly why something is happening. If you do not control the variables, then one of them could be the reason for the results, and you won't be sure why you got the results you did.
It is so that the experiment is a fair test. In order to protect the integrity and / or accuracy of the experiment and its results, you have to be able to control all the variables so that you know exactly why something is happening. If you do not control the variables, then one of them could be the reason for the results, and you won't be sure why you got the results you did.
They are the same. These are names for the variables in an experiment that are controlled by the experimenter, as opposed to the output variables, the results you collect at the end of the experiment Hope this helped!
Yes, Termination of Approving Official accounts results in the termination of all cardholder accounts assigned to them.
Yes, independant variables are the variables that are changed in an experiment to observe the results, called the dependant variable.
Control: The experiment should control for variables that could affect the outcome, ensuring that only the manipulated variable is influencing the results. Randomization: Participants should be randomly assigned to different conditions to minimize bias and ensure results are generalizable. Replication: The experiment should be able to be repeated by other researchers to verify the results and ensure reliability.
Controlling variables is when you make sure that only one variable is being tested at a time and that there are not other variables that will make your results unclear. Using a control is when you do a trial without the variable to see what the normal results are.