You are testing the difference between two means of independent sample and the population variance are not known. from those population you take two samples of two different size n1and n2. what degrees of freedom is appropriate to consider in this case
differences between quantitative and qualitative data
Information obtained from the sample can be extrapolated to the whole population using statistics.
population is the number of citizens living in a defined geographical area. Sample is a number taken from the population being the sample to research for a topic about the populations' behavior or habit, etc.
The same basic formula is used to calculate the sample or population mean. The sample mean is x bar and the population mean is mu. Add all the values in the sample or population and divide by the number of data values.
The sample regression function is a statistical approximation to the population regression function.
A sample consists of a small portion of data when a population is taken from a large amount.
In ANOVA, what does F=1 mean? What are the differences between a two sample t-test and ANOVA hypothesis testing? When would you use ANOVA at your place of employment, in your education, or in politics?
differences between quantitative and qualitative data
always zero
From a sample of a population, the properties of the population can be inferred.
A representative sample is a randomly selected subset of the population.
A sample of a population is a subset of the population. The average of the population is a statistical measure for some variable of the population.
A sample is any subset of the total population. A representative sample is one that is chosen so that its characteristics are similar to that of the population.
In a probability sample, each unit has the same probability of being included in the sample. Equivalently, given a sample size, each sample of that size from the population has the same probability of being selected. This is not true for non-probability sampling.
Information obtained from the sample can be extrapolated to the whole population using statistics.
What is the difference between the population and sample regression functions? Is this a distinction without difference?
A population includes all members of a defined group. A sample, on the other hand, is just a part of the population.