Verifying Requrements and finding the margin of error

Credit rating FICO credit rating scores of a smiple random sample of applicants for credit cards 95% confidence =50,x=677 and is knownd to be 68

If you are looking to find the margin of error using 95% confidence, here is the formula:

Margin of error = 1.96(sd/√n)

log(ab)=loga+logb

To verify requirements and find the margin of error for the credit rating FICO credit scores, we need to use the formula for calculating confidence intervals:

Margin of Error = Z * (Standard Deviation / √(Sample Size))

In this case, we have the following information:
- Confidence level = 95% (which corresponds to an alpha level of 0.05)
- Sample mean (x) = 677
- Standard deviation (σ) = 68
- We don't have the sample size, but it is not needed for this specific question.

First, we need to find the critical z-score for a 95% confidence level. The z-score can be obtained from a standard normal distribution table or calculated using statistical software. For a 95% confidence level, the z-score is approximately 1.96.

Next, we can plug the values into the formula to calculate the margin of error:

Margin of Error = 1.96 * (68 / √(Sample Size))

Since the sample size is not provided in the question, we cannot calculate the exact margin of error without that information. The margin of error depends on the sample size, typically denoted as "n" in statistics.