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For what do scientists use the data from a controlled experiment?
Whenever possible, a hypothesis should be tested by an experiment in which only one variable is changed at a time. All other variables should be kept untouched and unchanged. Scientists use the data from a controlled experiment to explain the steps and outcomes that produced their final product.
A protein's function is dependent on its?
Structure or Shapetype and other of amino acids
Why was the experiment of James van helmont important?
The reason this experiment was important is because he wanted to find out if there was any other intake besides water and soil and there was and it was carbondioxide so it was important to find out carbondioxide.
What was the purpose of the dihybrid crosses experiment?
He wanted to determine if traits affected each other, and concluded (based on his observations) that they did not. + To find out if traits could affect the inheritance of other traits. to determine if traits affected each other
Why are guided controls not needed in the arthropods experiment described in the study guide?
The treatments can be compared to each other instead of to a control
Are outcomes in binomial distributions dependent on each other?
No.
Can a binomial experiment be used to find the probability of 4 outcomes of .20 and 16?
If the question is about 4 successful outcomes out of 16 trials, when the probability of success in any single trial is 0.20 and independent of the outcomes of other trials, then the answer is, yes, the binomial experiment can be used.
What are four requirements for binomial distribution?
A binomial experiment is a probability experiment that satisfies the following four requirements:1. Each trial can have only two outcomes or outcomes that can be reduced to two outcomes. These outcomes can be considered as either success or failure.2. There must be a fixed number of trials.3. The outcomes of each trial must be independent of each other.4. The probability of a success must remain the same for each trial.
What is she binomial probability distribution is used with?
It is used when repeated trials are carried out , in which there are only two outcomes (success and failure) and the probability of success is a constant and is independent of the outcomes in other trials.
What is complement of an event?
The complement of an event is: all other possible outcomes of the repective experiment.
What is the Complement of an Event?
The complement of an event is: all other possible outcomes of the repective experiment.
What best describes the dependent variable in an experiment?
The factor in an experiment that responds to the manipulated variable
The difference between the independent and dependent variables?
Independent variables are variables that can be changed in an experiment, while dependent variables are variables that change as a result of an experiment. In other words, independent variables are what you change, and dependent variables are the results of the experiment.
What is depent variable?
A dependent variable is something that depends on other factors. It is what gets measured and what is affected during an experiment. Without an independent variable there can be no dependent variable.
What are the definition between indeoendent and dependent variables?
The independent variable determines the value of other variables and is change by the person doing the experiment. The dependent variable is what is affected by the independent variable; it "depends" on the independent variable.
What is binomial distribution?
For an experiment to be classified as a binomial distrbution four critiria have to be met:There must be a fixed number of trials which is denoted by n.Each trial only has two possible outcomes. One is labeled success and the other is failure.the probably of success is p. The probably of failure is 1-pFinally, the trials must be independent of one other (the outcome of one trial does not affect the outcomes of any other trial.)An example of a binomial experiement is flipping a coin.You can set a fixed number of trials. In this case, flipping a coin 3 times.You label head as success and tails as failure.The probability of heads is p=0.5; the probability of tails is 1-p = 1-0.5 = 0.5.Getting heads on the first flip, doesn't change the probability of flipping heads again on the second. Thus the trials are independent.
What are the three types of variables?
The three types of variables are: Independent: it is the one that you manipulate Dependent: the one that reacts to the changes in the independent variable and is measured in a experiment Control: all the other factors that could affect the dependent variable but are kept constant through out an experiment
