Standard Error: The standard error measures the variability or spread of sample means around the population mean. It quantifies how much we can expect individual sample means to differ from each other.
Degrees of Freedom: Degrees of freedom represent the number of values in a calculation that are free to vary. In statistics, it refers to the number of independent pieces of information available for estimating an unknown parameter.
Confidence Interval: A confidence interval is an estimate range within which we believe that a population parameter lies with a certain level of confidence. It helps us understand how precise our estimate is and provides a range instead of just one point estimate.