Questions: adjusting data to confirm the pre-study hypothesis

adjusting data to confirm the pre-study hypothesis
Transcript text: adjusting data to confirm the pre-study hypothesis
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Solution

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Solution Steps

To determine which option is NOT an important component of a statistical investigation, we need to evaluate each option based on standard practices in statistical research. Typically, adjusting data to confirm a pre-study hypothesis is not considered a valid practice, as it can lead to biased results.

Step 1: Identify the Components of a Statistical Investigation

In a statistical investigation, it is crucial to follow standard practices to ensure the validity and reliability of the results. The components typically include:

  • Planning the study by formulating a research question and deciding on data collection methods.
  • Drawing conclusions based on the data collected.
  • Examining the data to determine what is important and what insights can be revealed.
Step 2: Evaluate the Given Options

We need to evaluate each option to determine which one does not align with standard statistical practices:

  1. Adjusting data to confirm the pre-study hypothesis.
  2. Planning the study by asking a research question and deciding how to collect data.
  3. Drawing conclusions based on the data that have been collected.
  4. Examining the data to see what is important and what is revealed.
Step 3: Determine the Non-Important Component

Adjusting data to confirm the pre-study hypothesis is not a valid practice in statistical investigations. This approach can introduce bias and compromise the integrity of the study. Therefore, it is not considered an important component of a statistical investigation.

Final Answer

Adjusting data to confirm the pre-study hypothesis

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