Pregunta

4 Select the statement which correctly completes the sentence
“The effect of an transformation is to …”
A stretch the higher values in the data
B maintain the distance between values
C stretch the lower values in the data
D compress the higher values in the data
E reverse the order of the values in the data

Ask by Cervantes Reed. in Australia
Mar 27,2025

Solución de inteligencia artificial de Upstudy

Respuesta verificada por el tutor

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The correct statement is: A. stretch the higher values in the data.

Solución

To determine the correct completion of the sentence “The effect of an transformation is to …”, we need to analyze how squaring the values of affects the data.
  1. Understanding the transformation: When we apply the transformation , all values of are squared. This means:
    • Positive values of become larger (e.g., becomes ).
    • Negative values of also become larger in magnitude but positive (e.g., becomes ).
    • The value remains .
  2. Effect on higher and lower values:
    • Higher positive values are stretched further away from zero.
    • Lower negative values (which are also higher in terms of absolute value) are transformed into positive values, effectively compressing their original negative distance from zero.
Now, let’s evaluate the options:
  • A: Stretch the higher values in the data - This is true, as higher positive values become larger.
  • B: Maintain the distance between values - This is false, as the distances change.
  • C: Stretch the lower values in the data - This is misleading; lower values (negative) become positive but do not stretch in the same sense.
  • D: Compress the higher values in the data - This is false; higher values are stretched.
  • E: Reverse the order of the values in the data - This is false; the order is not reversed.
Based on this analysis, the correct answer is:
A: stretch the higher values in the data.

Respondido por UpStudy AI y revisado por un tutor profesional

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Mind Expander

When performing an transformation, the result is that higher values of yield significantly larger outputs, effectively stretching those values apart. This means that lower values will transform into smaller outputs, while higher values will expand more dramatically. Hence, the correct completion is A: stretch the higher values in the data.
In the world of statistics and data analysis, transformations like are often used to improve model performance or meet the assumptions of certain statistical tests. By transforming data, we can address issues such as non-linearity or unequal variance, ensuring that our analyses yield more reliable and valid results. Just keep in mind that every transformation can also introduce its own complexities!

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