The null hypothesis is a claim about a: (a) population parameter that is assumed to be false until it is declared true.(b) population parameter that is assumed to be true until it is declared false.(c) sample statistic that is assumed to be false until it is declared true.(d) sample statistic that is assumed to be true until it is declared false

The correct answer is option (B) "population parameter that is assumed to be true until it is declared false".

Explanation:

In statistical analyses, the null hypothesis serves as the propose that there is no significant difference between specified populations. Basically, this statement affirms that nothing new happens and the tested conditions had not effect on the population. Usually, null hypothesis are assumed to be true unless evidence indicates that is false. In this case, the alternative hypothesis would be considered true.