Names of the two hypothesis in statistical analysis
1) Null hypothesis : It is the hypothesis of no difference
2) Alternative hypothesis : hypothesis complementary to null hypothesis
Two possibile decisions 1) rejecting the null hypothesis i.e accepting alternative hypothesis
2) Accepting null hypothesis i.e. rejecting the alternative hypothesis
Type 1 error is rejecting the null hypothesis when it is true
Type 2 error is accepting the null hypothesis when it is false
P value is probability of obtaining results as extreme as observed result of hypothesis test.. under the assumption that the null hypothesis is true
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