The higher the statistical significance the lower the probability of error
True or False?
The degrees of freedom in a chi square test are determined based on sample size n
True or False?
True
Higher values of α make it easier to reject the null hypothesis, so choosing higher values for α can reduce the probability of a Type II error.
The degrees of freedom in a chi square test are determined based on sample size n
false
because, The degrees of freedom for the chi-square are calculated using the following formula: df = (r-1)(c-1) where r is the number of rows and c is the number of columns
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