1) True or false? Why?

a) The bigger the sample size, the more accurate the reported average of the sample.

b) Type I error is when we accept a false null hypothesis

c) A maintained hypothesis that is considered to be true unless sufficient evidence to the contrary is obtained is called the null hypothesis

Step-by-step explanation:

a) it is true that the bigger the sample size, the more accurate the reported average of the sample. An increased sample size gives a smaller standard deviation. This improves accuracy.

b) It is false. A type 1 error occurs when a true null hypothesis is rejected

c) It is true. The null hypothesis is considered true until the alternative hypothesis which is contrary is favoured by sufficient evidence.