Consider the following statement regarding sample parameter and statistic; statistical inference and t-test:
A. There are only three types of probability sampling: stratified, simple and systematic.
B. Since a = probability of the Type-I error, then \((1-\alpha)\) is probability of not rejecting \(H_o\) when \(H_a\) is true.
C. t-value is represented as; \(t=\frac{\text { Mean - Comparison value }}{\text { Standard error }}\)
D. A sample of less than 30 is considered to be sufficient to hold Central Limit Theorem (CLT).
E. A confidence interval consists of three components: confidence level, sample statistic and margin of error.

1. A C and E only
2. B A, B and E only
3. C A and E only
4. D B, C and D only