Can never confirm that the variable under analysis distributes following a specific expected proportions distribution

All are true

The null hypothesis is rejected if the Chi-square statistic (measuring the distance between observed and expected frequencies) is sufficiently big

We test whether we cannot reject (or can reject) that a particular qualitative variable distributes according to an expected distribution

Will possibly be accepted (confirmed)

None is true

Will always imply that the two variables under analysis are related or dependent

Will always imply that the two variables under analysis are unrelated or independent

Can never confirm that the variable under analysis distributes following a specific expected proportions distribution

All are true

Tests whether we cannot reject (or can reject) that a particular qualitative variable distributes according to an expected distribution

The null hypothesis is rejected if the Chi-square statistic (measuring the distance between observed and expected frequencies) is sufficiently big

The proportion of girls is smaller in year 2018 than in year 2010

The proportion of girls is larger in year 2018 than in year 2010

The porportion of girls is different from 4

The proportion of girls has not changed.

Two

Two tailed independent samples two-means test

One tailed independent samples two-means test

Two tailed paired-samples two-means test

One tailed paired-samples two-means test