In the normal probability distribution, what percent of scores lies between +1 SD and -1 SD?
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Memorize the 68-95-99.7 rule. It states that for a normal distribution, approximately {68%} of the data falls within 1 SD of the mean, {95%} within 2 SD, and {99.7%} within 3 SD. This is one of the most important rules in introductory statistics.
Step 1: Understand the Concept: The question asks for a key characteristic of the standard normal distribution: the proportion of data within one standard deviation (SD) from the mean, on either side. This is part of the empirical rule (68-95-99.7 rule).
Step 2: Detailed Explanation: The normal distribution is symmetrical around its mean. The area under its curve represents probability or score percentages.
The area between the mean and +1 SD is approximately 34.13%. Due to symmetry, the area between the mean and -1 SD is also approximately 34.13%.
The total percentage of scores between -1 SD and +1 SD is the sum of these areas: \[ 34.13% + 34.13% = 68.26% \] The other provided percentages relate to different ranges:
Approximately 95.44% of scores are between -2 SD and +2 SD (with 47.72% between the mean and +2 SD). Approximately 99.74% of scores are between -3 SD and +3 SD.
Step 3: Final Answer: Approximately 68.26% of scores in a normal distribution fall within one standard deviation of the mean.