Question

1. True or False: If our data do not achieve the level of statistical significance that we had established, then the null hypothesis must be accepted as true.

2. True or false: In a normal distribution curve, the tails of the curve are asymptotic to the y-axis.

Please answer both 1 & 2. Thank you in advance.

Answer 1

Question (1)

If there is no sufficient evidence or data do not achieive the level pf statistical significance, we fail to reject the Null hypothesis but we don't accept the Null Hypothesis as true

We only fail to reject the Null hypothesis which does not mean that we accept the Null Hypothesis as true becuase currently there is no evidence to conclude that the Null Hypothesis is true

In Simple terms, The Null Hyopthesis can not be proven true, but it can be proven that it is FalsT

So Anwer is False

Question (2)

In a normal distribution curve, the tails of the curve never touch the x-axis and therefore they are asymptotic to the X-axis.

In statistics term, it implies that the variable can take any value that is theoretically possible thought the probability of it is very less

So Asnwer is False