Final answer:
To calculate the probability that a random sample of 100 young couples have a mean credit card balance exceeding N$700, we can use the Central Limit Theorem and the standard normal distribution.
Step-by-step explanation:
To calculate the probability that a random sample of 100 young couples have a mean credit card balance exceeding N$700, we will use the Central Limit Theorem. The Central Limit Theorem states that the distribution of sample means from a population with any shape approaches a normal distribution as the sample size increases.
First, we need to standardize the mean of the sampling distribution using the formula: z = (x - μ) / (σ / √n), where x is the sample mean, μ is the population mean, σ is the population standard deviation, and n is the sample size.
Using the given values, we can calculate the standardized z-score: z = (700 - 650) / (420 / √100) = 50 / 42 = 1.19.
We can then use a standard normal distribution table or calculator to find the probability associated with a z-score of 1.19, which is approximately 0.8821.