To solve this problem, we can use the binomial probability formula to calculate the probability that at least 30 people in the sample are NOT cell phone users. The probability that a randomly chosen person is not a cell phone user is \(30\%\), or \(0.3\). We define:
- \(n = 100\), the sample size
- \(p = 0.3\), the probability of not being a cell phone user
The probability of having at least 30 people who are not cell phone users is computed as:
1. Calculate the cumulative probability of having fewer than 30 people who are not cell phone users using the binomial distribution:
P(X < 30) = \sum_{k=0}^{29} \binom{100}{k} (0.3)^k (0.7)^{100-k}
2. Subtract this cumulative probability from 1 to get the probability of having at least 30 people who are not cell phone users:
P(X \geq 30) = 1 - P(X < 30)
3. Use a calculator or statistical software to evaluate this sum:
P(X \geq 30) \approx 0.5376
Thus, the probability that at least 30 people in the sample are not cell phone users is approximately 53.76%