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What statistical test should be used to compare whether one of two variables A or B has the greatest influence on variable set C?
Wiki User
∙ 12y ago
t-test
Wiki User
∙ 12y ago
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What are dummies variables?
A dummy variable is a variable that takes on the values 1 and 0; 1 means something is true. These are used in statistical analyses.
What statistical test to run when comparing the effects of two dichotomous variables on a dependent variable Anova Manova Why would you choose it?
If there are only two variables, then the dependent variable has only one variable it can depend on so there is absolutely no point in calculating multiple regression. There are no other variables!
If you have a lot of variables that are being used to correlate to several other variables is there a statistical test that will show which variable tends to correlate most with the others?
Yes and it is called "the line of best fit"
What is the difference between correlation and experiment?
An experiment is when the researcher manipulates the independent variable and records its effect on the dependent variable whilst maintaining strict control over any extraneous variables. A correlation is a statistical relationship between two or more variables. The researcher makes a change in one of the variables to see what is affected.
What is a response variable?
In a statistical model, you have two kinds of variable. Response variables are the "outputs" of your model. Explanatory variables, on the other hand, are the "inputs" of your model. Response variables are dependent on the explanatory variables. Explanatory variable are independent of the response variables.Imagine you were trying to formulate a statistical model of your car's fuel economy. The "output" of your model is miles per gallon (or kilometres per litre). That's your response variable. "Inputs" into your model might be (for example) engine capacity, number of cylinders, tyre pressure, etc. These are your explanatory variables. That is, fuel economy may be, or is, (to be determined by the modeling) dependent on engine capacity and/or number of cylinders and/or tyre pressure, etc.after the treatment
What are dummies variables?
A dummy variable is a variable that takes on the values 1 and 0; 1 means something is true. These are used in statistical analyses.
What are different variables that affect the output variable?
Statistical Process ControlA) TrueB) False
What statistical test to run when comparing the effects of two dichotomous variables on a dependent variable Anova Manova Why would you choose it?
If there are only two variables, then the dependent variable has only one variable it can depend on so there is absolutely no point in calculating multiple regression. There are no other variables!
Would the absence of independent variable imply a cause and effect relationship between 2 variables?
No, it would not. It is possible that the statistical model is under-specified and that the variables being studied are all "caused" by another variable.
What is major variable?
A major variable is a key factor in a research study or statistical analysis that has a significant impact on the outcome or results of the study. It is a variable that researchers are particularly interested in studying due to its potential influence on the research question being investigated. Identifying major variables helps researchers focus their study and interpret the findings accurately.
If you have a lot of variables that are being used to correlate to several other variables is there a statistical test that will show which variable tends to correlate most with the others?
Yes and it is called "the line of best fit"
What is a stochastic error?
In a statistical model, variations in the dependent variable can be attributed to independent variables. However, there is a random element that is not accounted for and this is the stochastic error.
How do the test variables (independent variables) and outcome variables (dependent variables) in an experiment compare?
The test variable (independent variable) controls the outcome variable (dependent variable).
What is the difference between correlation and experiment?
An experiment is when the researcher manipulates the independent variable and records its effect on the dependent variable whilst maintaining strict control over any extraneous variables. A correlation is a statistical relationship between two or more variables. The researcher makes a change in one of the variables to see what is affected.
What is a response variable?
In a statistical model, you have two kinds of variable. Response variables are the "outputs" of your model. Explanatory variables, on the other hand, are the "inputs" of your model. Response variables are dependent on the explanatory variables. Explanatory variable are independent of the response variables.Imagine you were trying to formulate a statistical model of your car's fuel economy. The "output" of your model is miles per gallon (or kilometres per litre). That's your response variable. "Inputs" into your model might be (for example) engine capacity, number of cylinders, tyre pressure, etc. These are your explanatory variables. That is, fuel economy may be, or is, (to be determined by the modeling) dependent on engine capacity and/or number of cylinders and/or tyre pressure, etc.after the treatment
What is an independent variable in statistics?
In a statistical model you have two kinds of variable. Response variables are the "outputs" of your model. Explanatory variables, on the other hand, are the "inputs" of your model. Response variables are dependent on the explanatory variables. Explanatory variable are independent of the response variables.Imagine you were trying to formulate a statistical model of your car's fuel economy. The "output" of your model is miles per gallon (or kilometres per litre). That's a dependent variable. "Inputs" into your model might be (for example) engine capacity, number of cylinders, tyre pressure, etc. These are your independent variables. That is, fuel economy may be, or is, (to be determined by the modelling) dependent on engine capacity and/or number of cylinders and/or tyre pressure, etc.
Why do you need to keep all other conditions the same between an independent variable and a dependent variable in an experiment?
So no other variables influence your results.
