Considering this from a physics point of view, age or the progression of time d*/dt is continuous. I know I am continuously aging. Of course when we speak of our age we tend to jump and ignore fractional changes right? One day we're 28 and stay that way for 364 days, then bang we're 29. No one says well I'm 28.6 years old. Some seem to be stuck at 29, until they have to be honest about it and there is an abrupt change to say 40.
Neither. It is a discrete variable.
It is just a factor or categorical variable. On the other hand for instance, If your age is continuous (rather than age brackets) then it would be a covariate. If your age is given as age-brackets, then it wont be covariate.
It depends how we have computed %age. By and large, percentage is a summary statistic. Its a categorical variable (may be nominal or ordinal). That way its a discrete. In case of assay or yield computations it becomes a continuous variable. Naresh K Chawla nkchawla@gmail.com
Age is acontinuousvariable because it can bemeasured with numbers. A categorical variable deals with nominal variables example male or female, political view, etc
It can be used to describe continuous or discreet data but not categorical or ordered data, unless that data is also numercal which is very unlikely
continuous discrete
A categorical variable (also known as a discrete variable) is one whose range is countable; e.g. the variable answ has values [yes, no, not sure]. answ is a categorical variable with range 3.A continuous variable is one which is not categorical; e.g. weight is a continuous variable which can take any value between 0 and 1000 kg (say) for a human being.
Neither. It is a discrete variable.
It is just a factor or categorical variable. On the other hand for instance, If your age is continuous (rather than age brackets) then it would be a covariate. If your age is given as age-brackets, then it wont be covariate.
It depends how we have computed %age. By and large, percentage is a summary statistic. Its a categorical variable (may be nominal or ordinal). That way its a discrete. In case of assay or yield computations it becomes a continuous variable. Naresh K Chawla nkchawla@gmail.com
It depends how we have computed %age. By and large, percentage is a summary statistic. Its a categorical variable (may be nominal or ordinal). That way its a discrete. In case of assay or yield computations it becomes a continuous variable. Naresh K Chawla nkchawla@gmail.com
Age is acontinuousvariable because it can bemeasured with numbers. A categorical variable deals with nominal variables example male or female, political view, etc
It can be used to describe continuous or discreet data but not categorical or ordered data, unless that data is also numercal which is very unlikely
Continuous variables have an unlimited number of possibilities between two points. In the scientific realm, age is a continuous variable.
Categorical
categorical
Analysis of covariance is used to test the main and interaction effects of categorical variables on a continuous dependent variable, controlling for the effects of selected other continuous variables, which co-vary with the dependent. The control variables are called the "covariates."