Final answer:
Without additional data, we cannot determine the correct upper bound of the 95% confidence interval; however, a 95% confidence interval implies that about 95% of such intervals will contain the true population mean.
Step-by-step explanation:
To determine the upper bound of the 95% confidence interval for the mean lifetime of components based on the provided options (A. 970 B. 980 C. 990 D. 1000), we need additional information such as the sample mean, the standard deviation, and the sample size to calculate it correctly. Since the actual data for calculation isn't provided, we can't choose the correct answer from the options given. However, it's important to understand that the concept of a 95% confidence interval means that if we were to take repeated samples and construct confidence intervals from those samples, about 95% of them would contain the true population mean. The confidence interval may change depending on various factors such as the confidence level, sample size, and variability within the data. A larger sample size generally leads to a narrower confidence interval if the standard deviation remains constant.