Answer:
To determine the standard score for each member of the population, we need to calculate the z-score for each value. The z-score tells us how many standard deviations a data point is away from the mean.
To calculate the z-score, we need to know the mean (average) and the standard deviation of the population. Unfortunately, this information is not provided in the question.
However, I can still guide you through the process of calculating the z-score once you have the mean and standard deviation. Here's how you can do it:
1. Subtract the mean from the data point.
z = (x - mean)
2. Divide the result by the standard deviation.
z = (x - mean) / standard deviation
The resulting value will be the z-score for that particular data point. A positive z-score means the data point is above the mean, while a negative z-score means it is below the mean. The magnitude of the z-score indicates how far away the data point is from the mean.
Remember, without the mean and standard deviation, we cannot calculate the standard scores for each member of the population. If you have this information, feel free to provide it, and I'll be happy to help you with the calculations.
Explanation: