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Importance of chi-square test?
It enables us to tell the difference between observed and expected frequencies objectively as it is practically impossible to tell the difference just by looking at the data.
When does one do a chi square test?
This is concerned with frequency. Can be used to test whether the observed frequencies in a particular case differ significantly from those which would be expected in the null hypothesis. source: analysis related lectures
What is the plural of frequency?
The plural of frequency is frequencies. As in "radio waves travel on different frequencies".
How do you calculate absolute frequencies?
Absolute frequencies are calculated by first identifying intervals based on your data and then identifying the number of values within your data set that lie within these interval. Relative frequencies divide the absolute frequencues by the number of values in the set. It is a good practice to provide the absolute frequencies, perhaps in a bar chart of relative frequencies as a number above each bar.
If the difference between the observed and expected frequencies if the critical value is 9.488 and the computed value is 6.079 do you reject or do not reject the null hypothesis?
Not enough information - nature of step progression towards critical value has to be specified (sample size, linear vs. logarithmic vs. whatever, etc.).
