Final Answer:
For the given values of sample size (n = 78) and population proportion (p = 0.43), the probability P(30) is approximately 0.305. (option c)
Step-by-step explanation:
To calculate the probability P(X = 30) in a binomial distribution with parameters n = 78 and p = 0.43, we use the binomial probability formula:
![\[ P(X = k) = \binom{n}{k} \cdot p^k \cdot (1-p)^((n-k)) \]](https://img.qammunity.org/2024/formulas/mathematics/high-school/i6shifs1bjrpop2d0s70x2e64tmbho4nhp.png)
In this context, k represents the number of successes (30). Substituting the provided values into the formula:
![\[ P(30) = \binom{78}{30} \cdot (0.43)^(30) \cdot (1-0.43)^(48) \]](https://img.qammunity.org/2024/formulas/mathematics/high-school/49lobsfpkz18eh0bdz1j8b6r29zzln9pvo.png)
Evaluating this expression results in a probability of approximately 0.305.
The use of subscript/superscript style enhances the clarity of mathematical notation, allowing for precise representation of combinations
and exponents in the explanation.(option c)