Respuesta :
Options:
The supplier products have a lower mean than claimed
The supplier is more accurate than they claimed
The supplier products have a higher mean than claimed
The supplier is less accurate than they have claimed
Answer:
The supplier is less accurate than they have claimed
Step-by-step explanation:
Confidence Interval for supplier claim, CI = (20.45, 21.05)
Confidence Interval for your claim, CI = (20.48, 21.02)
Calculate the mean of the Confidence Interval for the supplier's claim:
[tex]\bar{X_s} = \frac{20.45 + 21.05}{2} \\\bar{X_s} = \frac{41.50}{2}\\\bar{X_s} = 20.75[/tex]
Calculate the mean of the Confidence Interval for your claim :
[tex]\bar{X_y} = \frac{20.48 + 21.02}{2} \\\bar{X_y} = \frac{41.50}{2}\\\bar{X_y} = 20.75[/tex]
Both the supplier and you have the equal mean
Margin of Error by the supplier = 21.05 - 20.75 = 0.30
Margin of Error by you = 21.02 - 20.75 = 0.27
Since the margin of error for the supplier is more, you can conclude that the suppler is less accurate than they have claimed.
The question is incomplete! Complete question along with answer and step by step explanation is provided below.
Question:
Supplier claims that they are 95% confident that their products will be in the interval of 20.45 to 21.05. You take samples and find that the 95% confidence interval of what they are sending is 20.48 to 21.02. What conclusion can be made?
The supplier products have a lower mean than claimed
The supplier is more accurate than they claimed
The supplier products have a higher mean than claimed
The supplier is less accurate than they have claimed
Answer:
The margin of error reported by the supplier is greater as compared to the actual margin of error. A greater margin of error results in less accuracy.
Therefore, we can conclude that the supplier is less accurate than they have claimed.
Step-by-step explanation:
Supplier claims that they are 95% confident that their products will be in the interval of 20.45 to 21.05.
The mean is given by
Mean = (Upper limit + Lower limit)/2
Mean = (21.05 + 20.45)/2
Mean = (41.50)/2
Mean = 20.75
The margin of error in this case is
MoE = Upper limit - Mean
MoE = 21.05 - 20.75
MoE = 0.30
You take samples and find that the 95% confidence interval of what they are sending is 20.48 to 21.02.
The mean is given by
Mean = (Upper limit + Lower limit)/2
Mean = (21.02 + 20.48)/2
Mean = (41.50)/2
Mean = 20.75
The margin of error in this case is
MoE = Upper limit - Mean
MoE = 21.02 - 20.75
MoE = 0.27
As you can notice the margin of error reported by the supplier is greater as compared to the actual margin of error. A greater margin of error results in less accuracy.
Therefore, we can conclude that the supplier is less accurate than they have claimed.
