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15 May 2025, 00:46
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Dropdown 1: 2
Dropdown 2: 4.5%
Be sure to select an answer first to save it in the Error Log before revealing the correct answer (OA)!
Difficulty:
95%
(hard)
Question Stats:
41% (02:41) correct
59%
(03:39)
wrong
based on 142
sessions
History
Date
Time
Result
Not Attempted Yet
A power analyst is inspecting the noise emissions of a series of electric components. According to regulatory standards, any component emitting more than 4 dB of noise is considered to exceed acceptable limits. A senior analyst further specifies that samples with a Channel Current exceeding 380 mV must be excluded from the analysis, as such values suggest test equipment anomalies rather than actual component issues.
The analyst plots 30 observations he makes:
The engineering lead wants to understand the risk of regulatory detection for components placed into the market.
The risk of detection is defined as:
Risk of Detection (%) = (Sum of (Noise of each valid outlier − 4)) / (Total number of valid samples) × 100
Based on the information above, the number of valid outliers is , and the average risk of detection in the market is approximately .
GMAT-Club-Forum-9983beyy.png [ 16.45 KiB | Viewed 1425 times ]
GMAT-Club-Forum-rimvaapd.png [ 24.55 KiB | Viewed 1134 times ]
The analyst plots 30 observations he makes:
The engineering lead wants to understand the risk of regulatory detection for components placed into the market.
The risk of detection is defined as:
Risk of Detection (%) = (Sum of (Noise of each valid outlier − 4)) / (Total number of valid samples) × 100
Based on the information above, the number of valid outliers is , and the average risk of detection in the market is approximately .
Attachment:
GMAT-Club-Forum-9983beyy.png [ 16.45 KiB | Viewed 1425 times ]
Attachment:
GMAT-Club-Forum-rimvaapd.png [ 24.55 KiB | Viewed 1134 times ]
Archived Topic
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Dropdown 1: 2
Dropdown 2: 4.5%
17 May 2025, 03:21
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This is how I got this right:
1. Outliers are the ones beyond 4 DB, out of those valid are the ones with mV less than 380.
2. Valid samples is 30-7 = 23
Noise of each valid outlier is 4.2 and 4.3, using the formula you get approx 4.5%
1. Outliers are the ones beyond 4 DB, out of those valid are the ones with mV less than 380.
2. Valid samples is 30-7 = 23
Noise of each valid outlier is 4.2 and 4.3, using the formula you get approx 4.5%
15 Jan 2026, 10:18
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how is risk detection 4.5%?
Archived Topic
Hi there,
This topic has been closed and archived due to inactivity or violation of community quality standards. No more replies are possible here.
Where to now? Join ongoing discussions on thousands of quality questions in our Graphs and Tables (G&T) Forum
Still interested in this question? Check out the "Best Topics" block above for a better discussion on this exact question, as well as several more related questions.
Thank you for understanding, and happy exploring!
