The p-value of 0.0057 is less than the significance level (α=0.05). Therefore, we reject the null hypothesis.
A one-sample z-test to determine whether there's sufficient evidence to conclude that the mean running time of all light bulbs has increased from the previous mean of 8.3 hours.
Here are the steps:
Hypotheses:
Null Hypothesis (H0): The mean running time (μ) is equal to 8.3 hours.
Alternative Hypothesis (H1): The mean running time (μ) is greater than 8.3 hours.
Given data:
Population mean (μ): 8.3 hours (from the past)
Sample mean (x ): 8.5 hours
Sample size (n): 40
Assumed population standard deviation (σ): 0.5 hours
Significance level:
α=0.05
Test statistic formula for one-sample z-test:

Where:
x = Sample mean
μ = Population mean under the null hypothesis
σ = Population standard deviation
n = Sample size
Calculations:
Z= 8.5−8.3/ 0.5/ √40
Z= 0.2 /0.5/√40
Z= 0.2/ 0.0791
Z≈2.528
P-value:
Using a z-table or a statistical calculator, we find that the p-value corresponding to Z=2.528 is approximately 0.0057.
The p-value of 0.0057 is less than the significance level (α=0.05). Therefore, we reject the null hypothesis. There is sufficient evidence to conclude that the mean running time of all light bulbs has increased from the previous mean of 8.3 hours at a 5% level of significance.