Statistics (Saturday)

A statistical (a)   is a conjecture about population parameter. This conjecture may or may not be true.

The level of (a)   is the maximum probability of committing a type I error.

The critical (a)   separates the critical region from the noncritical region.

The (a)   hypothesis is a statistical hypothesis that states that there is no difference between a parameter and specific value or that there is no difference between two parameters.

The (a)   hypothesis is a statistical hypothesis that states a specific difference between a parameter and a specific value or states that there is a difference between two parameters.

A statistical (a)   test uses the data obtained from a sample to make decision whether or not the null hypothesis should be rejected.

(a)   is defined as the total or sum of the squared difference of observed and expected frequencies divided by the expected frequency.

(a)   refers to a field of study in which quantitative data are collected, presented, analyzed and interpreted.

(a)   is the characteristics of the entire population under study.

(a)   is a collection of some but not all of the elements of the population under study in which the statistician is interested.