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 $\alpha$ = 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; $t=\frac{\text { Mean }- \text { Comparison value }}{\text { Standerd error }}$
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.

Choose the correct answer from the options given below:

C and E only

The correct answer is Option (1) → C and E only

$\text{A: False (there are more than three types of probability sampling)}$

$\text{B: False } \big((1-\alpha) \text{ is probability of not rejecting } H_o \text{ when } H_o \text{ is true}\big)$

$\text{C: True } \left(t = \frac{\text{Mean} - \text{Comparison value}}{\text{Standard error}}\right)$

$\text{D: False (CLT generally requires large sample size } n \ge 30)$

$\text{E: True (confidence interval has level, statistic, margin of error)}$

$\text{Correct statements: C and E}$