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A friend gives you a coin that he claims to be a "trick coin." To test this idea, you toss the coin 10 times, and it lands on heads 6 times. Are the conditions for calculating a confidence interval for a population proportion met?

A. No, the randomness condition is not met.
B. Yes, the conditions for inference are met.
C. No, the Large Counts Condition is not met.
D. No, the 10% condition is not met.

Answer :

To calculate a confidence interval for a population proportion, several conditions must be met:

1. Randomness: The experiment should consist of independent and random trials. In this case, coin tosses are assumed to be independent, so this condition is satisfied.

2. 10% Condition: When sampling without replacement from a finite population, the sample should not exceed 10% of the population. For coin tosses, this condition is either assumed to be met or is not applicable. Hence, we consider it satisfied.

3. Large Counts (Success-Failure) Condition: This requires that both the number of successes and the number of failures be at least 10. With 10 coin tosses, there are [tex]$6$[/tex] heads (considered successes) and [tex]$4$[/tex] tails (failures). Since neither [tex]$6$[/tex] nor [tex]$4$[/tex] is at least [tex]$10$[/tex], this condition is not met.

Since the Large Counts Condition is not satisfied, the conditions for calculating a confidence interval for the population proportion are not fully met.

Thus, the correct answer is:

[tex]$$\text{No, the Large Counts Condition is not met.}$$[/tex]

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