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Problems in chisq.test in R

First things first. You seem to be new to both statistics and R. In the long run you'll be more effective at learning both if you start with the basics. A free resource I like is Modern Statistics ...
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2 votes

Standard Errors for Numerical Optimization using Chi-Square Objective Function

There are various Chi-square minimization methods described in the literature. All of them boil down to minimizing a sum (or average) of normalized squared residuals (or Chi-square distances). The ...
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1 vote

How to interpret the p-value for chi-square-test

The p you mentioned in the question is actually 1- significance level (α), it is not the p-value of the test. To use Chi-square test to test the hypothesis: Null: the data is following a uniform ...
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1 vote

Two not normal distributed samples & unequal sample size

I got two sample sets a training set around 32k rows and I have a test set of 16k rows According to this description, it seems the training/test set is randomly split, then you don't need to test ...
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  • 96
1 vote

Why does the Pearson chi-square test require to reject the hypothesis?

The usual sorts of hypothesis test, like those one meets in a basic course on statistics, will not answer the question "is it visually similar" but something much more like "is it ...
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1 vote

How to test whether the distribution of majors among grad students differ from that of incoming students?

Since this is very old now, we can do a full answer. You can use a chisquared test, where the null hypothesis probabilities are computed from the incoming ratios. We do this in R: ...
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