Answer :

Answer:

NULL ; TRUE

Step-by-step explanation:

The sampling distribution is on the assumption that the null hypothesis is true .

The null hypothesis is a general statement that states that there

is no relationship between two phenomenon's under

consideration or that there is no association between two groups.

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The sampling distribution is based on the assumption that the null hypothesis is TRUE.  

  • A sampling distribution is a statistical probability distribution  obtained from a large number of samples  from a given population.

  • In statistics, the population is the entire pool from which statistical samples are drawn. A population can refer to an entire group of people, things, events,  visits, or measurements.  

  • A sampling distribution is the probability distribution of a statistic  obtained by repeatedly sampling a specified population describes a set of possible outcomes for statistics, such as: B. Mean or mode of  a population variable.

A null hypothesis is a general statement that something is. There is no relationship between the two phenomena under or consider that there is no relationship between the two groups.  

The sampling distribution is based on the assumption that the null hypothesis is TRUE.

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