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Answer:
C. 30
Step-by-step explanation:
-It is a statistical rule of thumb that the size of a sample must be .
-This size is deemed adequate for the Central Limit Theorem to hold.
-At this size or greater, the shape of the resultant distribution is normal.
#It should however be noted, that for a normal distribution the CLT holds even for smaller sample sizes.