Hey Vanster, what is a p test?

Vanster said:
I will never understand why I am so popular here.

In statistics, the p-value is the probability of obtaining results at least as extreme as the observed results of a statistical hypothesis test, assuming that the null hypothesis is correct. The p-value is used as an alternative to rejection points to provide the smallest level of significance at which the null hypothesis would be rejected. A smaller p-value means that there is stronger evidence in favor of the alternative hypothesis.
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FiEND said:
P-Value Definition
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lmfao
 
lemontw said:
lmfao
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Key Takeaways

  • A p-value is a measure of the probability that an observed difference could have occurred just by random chance.
  • The lower the p-value, the greater the statistical significance of the observed difference.
  • P-value can be used as an alternative to or in addition to pre-selected confidence levels for hypothesis testing.
 
Vanster has demonstrated a severe lack of actual know-how when it comes to science.

Pearson would turn in his grave if he knew how his methods are used nowdays in Science :(
 
Lets just assume Vanster did mean p-value (even though he listed it along with two other statistical tests). Can you answer a simple question about how to interpret a p-value?

If independent variable A has a p-value of .01 and independent variable B has a p-value of .05, which independent variable has a greater impact on the dependent variable?
 
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