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How to test a difference in frequency distribution?
I need to test if there is a difference in frequency distribution of a variable between two groups of subjects. Each subject is characterized by a list of values, from which a frequency distribution can be constructed.
How is sampling error used to compare frequencies?
This module will similarly provide concepts and tools for comparing groups with respect to dichotomous, categorical, and ordinal outcomes for which we are comparing frequencies rather than mean values of a measurement, and we will focus on evaluating sampling error when making these types of comparisons.
How to compare two samples of frequencies with categorical x values?
How to compare two samples of frequencies with categorical x values where one is subset of the other Ask Question Asked7 years, 7 months ago Active7 years, 7 months ago Viewed3k times 2 1 $\\begingroup$ I am trying to compare two arrays of frequencies. The second is a subset of the first.
How can I compare two arrays of frequencies?
I am trying to compare two arrays of frequencies. The second is a subset of the first. I want to know if the second is a representative of the first. The arrays are:
Which is statistical method for comparing frequency counts?
I am looking for statistical methods used to compare frequency of observations between two groups. Students in Group A (n=23) and Group B (n=48) wrote an essay, and I counted the occurrence of hedging: Group A had a total of 7 hedgings and Group B had a total of 35 hedging.
What should the frequency of Group A be?
If Group A has three students, and each produced 10 hedgings in their essays, frequency will be 30 (3 students x 10 hedging). But how about non-hedging events? if the frequency is based on the appearance of particular phenomena and there is no absolute value, I’m not sure what the frequency looks like.
How to compare groups with respect to distributed variables?
Previous modules have provided concepts and tools for comparing groups with respect to continuously distributed variables (measurements).