Question

Which rejection level, .01 and .10, suggests a greater likelihood of a true relationship between variables? ExplainWhich rejection level, .01 and .10, suggests a greater likelihood of a true relationship between variables? Explain

Answer 1

since lower the rejection level , more difficult it is to reject the null hypothesis or reject the hypothesis that variables are independent,

the reason behind this is that rejection area indicate probability of sample statistic to fall in that region given null hypothesis is true

therefore a rejection level of 0.01 suggest a a greater likelihood of a true relationship between variables since it is more difficult for a sample to have that extreme rejection level given there is not relationship between variables