Scores on a standardized exam are normally distributed with a mean of 534 and a standard deviation of 51 . The figure below shows the distribution of the scores on a standardized exam. Calculate the shaded area under the curve. Express your answer in decimal form with at least two decimal place accuracy.

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Scores on a standardized exam are normally distributed with a mean of 534 and a standard deviation of 51 . The figure below shows the distribution of the scores on a standardized exam. Calculate the shaded area under the curve. Express your answer in decimal form with at least two decimal place accuracy.

This image is a bell curve graph, also known as a normal distribution curve, illustrating "The Scores on a Standardized Exam." 

- The horizontal axis represents the exam scores.
- The vertical axis represents the frequency or probability of those scores.

Key features:

- The curve is symmetrically shaped, reflecting the typical distribution of standardized test scores.
- The shaded area under the curve lies between the scores of 432 and 568.17, indicating the range in which a certain percentage of test-taker scores fall.
- This shaded portion represents the middle section of the data distribution, suggesting that a significant proportion of students scored within this range. 

The use of a bell curve in such contexts helps understand how scores spread around the average and the variability in performance.
Transcribed Image Text:This image is a bell curve graph, also known as a normal distribution curve, illustrating "The Scores on a Standardized Exam." - The horizontal axis represents the exam scores. - The vertical axis represents the frequency or probability of those scores. Key features: - The curve is symmetrically shaped, reflecting the typical distribution of standardized test scores. - The shaded area under the curve lies between the scores of 432 and 568.17, indicating the range in which a certain percentage of test-taker scores fall. - This shaded portion represents the middle section of the data distribution, suggesting that a significant proportion of students scored within this range. The use of a bell curve in such contexts helps understand how scores spread around the average and the variability in performance.
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