To ensure that the results produced from your sample are fair and true. For example, if you had to pick 10 random numbers between 1 and 6, you could just say numbers that come into your head, but that wouldn't be random because you're choosing the numbers. A more random and fair way would be to roll a die 10 times and use those numbers, because you are in no way picking the numbers.
statistical testing
It might help if you specified why WHAT was important in random variables.
Random assignment: assigning participants to experimental and control conditions by chance Vs. Random sample: a sample that fairly represents a population because each member has an equal chance of being included You decide :-D
Representative/random
It is important to make sure your random sample is random in order to make sure the results are accurate, and to prevent experimenter bias.
Observed results are less likely to be affected by random chance.
Observed results are less likely to be affected by random chance.
The procedure is called random assignment. It involves randomly assigning participants to either the experimental group or the control group to help ensure that any differences in the groups are due to the treatment being tested and not other factors.
A quasi-experimental design is a research method that resembles an experimental design but lacks the element of random assignment to groups. This means that the groups are not formed randomly, making it less able to establish causation between variables. It is often used when true experimentation is not feasible due to ethical, logistical, or practical reasons.
Random assignment ensures that participants in an experiment have an equal chance of being assigned to different experimental conditions. This helps to control for potential biases and ensures that any differences in outcomes can be attributed to the treatment being tested rather than other factors.
You're question is totally random. :p
Theorem
Observed results are less likely to be affected by random chance.
it is totally random now since there changes the random events in 2009 so now when i get a random event it can be any one
statistical testing
It might help if you specified why WHAT was important in random variables.
There is no way of knowing. The picks are totally at random.