Final answer:
To find a 95% upper confidence bound for the mean sugar content, calculate the Z-score, find the standard error, and use the formula: upper bound = sample mean + (Z-score * standard error). The result is approximately 12.05 g.
Step-by-step explanation:
To find a 95% upper confidence bound for the mean sugar content, we can use the formula:
Upper bound = Sample Mean + (Z-score * Standard Error)
First, we need to find the Z-score for a 95% confidence level. Since it is a one-tailed test and we want an upper bound, the Z-score is 1.645.
The standard error can be calculated by dividing the standard deviation by the square root of the sample size:
Standard Error = Standard Deviation / √(Sample Size)
Plugging in the given values, the standard error is:
Standard Error = 1.1 / √(150) ≈ 0.09
Now we can calculate the upper bound:
Upper bound = 11.9 + (1.645 * 0.09) ≈ 12.05 g
Therefore, the 95% upper confidence bound for the mean sugar content is approximately 12.05 g.