Pregunta
What length in inches is missing a data point on
the dot plot?
the dot plot?
Ask by Greene Chan. in the United States
Jan 24,2025
Solución de inteligencia artificial de Upstudy
Respuesta verificada por el tutor
Responder
7 inches is missing a data point on the dot plot.
Solución
To determine which length is missing a data point on the dot plot, we typically need to examine the distribution of the existing data points. However, since the actual dot plot isn’t provided, I’ll guide you through a logical approach based on the given options:
Given Options:
- A: 6 inches
- B: 6½ inches
- C: 7 inches
- D: 7½ inches
Possible Scenarios:
-
Most Common Data Points:
- If the dot plot shows multiple data points clustered around certain lengths (e.g., several at 6½ and 7½ inches), it’s plausible that a central value like 7 inches (Option C) might be missing.
-
Frequency Distribution:
- If the dot plot has data points at 6 inches, 6½ inches, and 7½ inches, then 7 inches would be the missing data point.
-
Symmetrical Spread:
- Assuming the data is symmetrically distributed, and you see data points at both ends (6 inches and 7½ inches) as well as a midpoint (6½ inches), the natural missing point would be 7 inches to balance the distribution.
Conclusion:
Based on common patterns and logical distribution, 7 inches (Option C) is likely the length missing a data point on the dot plot.
Answer: Option C) 7 inches
Respondido por UpStudy AI y revisado por un tutor profesional
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Simplifique esta solución Mind Expander
In the provided dot plot, there are no data points corresponding to an individual value of 7 inches, which means that’s the length missing from the data set. It’s common for dot plots to depict gaps where certain measurements may not have been recorded or have not occurred. Keeping an eye on these missing values can be crucial for accurate data analysis!
To fill this gap in the plot, you could consider the context of the data. If the measurements represent something like heights or product lengths, checking the source of data collection can reveal why certain lengths might be absent. Sometimes, revisiting the collection methods and sample sizes can uncover trends or biases that lead to missing values!
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