confidence interval or the result of a hypothesis test.

Chapter 3: Hypothesis test on different distributions

Testing hypotheses about the variance of a population

The log-rank test is a hypothesis test to compare the survival distribution of two samples.

The testing of a literary or historical hypothesis through innovative analysis of a book.

In hypotheses testing, alternative hypotheses also exist.

To avoid such errors, it is advisable to use a statistical hypothesis test.

Equivalence tests were used to determine whether two statistics are substantively equivalent or substantively different.

P-value is the level of marginal significance within a statistical hypothesis test, representing the probability of the occurrence of a given event.

It is the level of marginal significance within a statistical hypothesis test representing the probability of the occurrence of a given event.

The p-value is the level of marginal significance within a statistical hypothesis test representing the probability of the occurrence of a given event.

Table 5 Revenue distribution differences between study and comparison groups, hypothesis test statistics

Table 4 Employment distribution differences between study and comparison groups, hypothesis test statistics

From there, using aregression analysis or a hypothesis test, we will define the « price » of each parameters.

In hypothesis testing, the probability of a Type I error, i.e. the probability of concluding incorrectly that a null hypothesis is false.