What exactly is your aim, what is the purpose of the analysis?
Statistical analyses are tools that serve some purpose, to help you achieve some aim. The summarization of your 600 observations as percentages is already a statistical analysis with the purpose to see the relative contribution of the different groups in your sample. You may show these graphically in some diagram (a pie chart, a dot chart, a column chart, ...).
If you want to give some indication of the statistical precision of your estimates you can calculate the standard errors as sqrt(p/(1-p) * 1/n) where p is the proportion (0
Use Descriptive Statistics
measures like Range Minimum Maximum Sum Mean Std.Deviation Variance.Draw the pie Chart, its useful to show percentages effectively.
If you are interested in distribution you can use chi-squared or G test of goodness of fit to check if the number (not percentage) of observations in each category is equal to expected by theory. However your sample (102) is quite low i suggest making this test in randomized form. It can be easily done in R or PAST.
I strongly advice you to read about count data statistics on this page: http://www.biostathandbook.com/gtestgof.html
Good luck!
Thanks Deneshkumar and Michal.
@ Michal the sample is over 600, what I attached is just an example.
Samples over 200-300 are fine for straight chi-squared nad g-test. Still randomised test should be more robust. It's up to you which you choose.
What exactly is your aim, what is the purpose of the analysis?
Statistical analyses are tools that serve some purpose, to help you achieve some aim. The summarization of your 600 observations as percentages is already a statistical analysis with the purpose to see the relative contribution of the different groups in your sample. You may show these graphically in some diagram (a pie chart, a dot chart, a column chart, ...).
If you want to give some indication of the statistical precision of your estimates you can calculate the standard errors as sqrt(p/(1-p) * 1/n) where p is the proportion (0
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