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.

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step-by-step explanation: