Use the normal distribution to the right to answer the questions.​(a) What percent of the scores are less than​ 19?​(b) Out of 1500 randomly selected​ scores, about how many would be expected to be greater than​ 21?​(a) The percent of scores that are less than 19 is nothing​%.​(Round to two decimal places as​ needed.)​(b) About nothing scores would be expected to be greater than 21.​(Round to the nearest whole number as​ needed.)

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Use the normal distribution to the right to answer the questions. ​(a) What percent of the scores are less than​ 19? ​(b) Out of 1500 randomly selected​ scores, about how many would be expected to be greater than​ 21? ​(a) The percent of scores that are less than 19 is nothing​%. ​(Round to two decimal places as​ needed.) ​(b) About nothing scores would be expected to be greater than 21. ​(Round to the nearest whole number as​ needed.)
The image contains a bell-shaped normal distribution curve, which is symmetric about a central value. The x-axis is labeled as "Score," and specific scores 19 and 21 are marked and highlighted with a vertical red dashed line at 20, indicating the mean (\( \mu \)) of the distribution.

Key features:
- The mean (\( \mu \)) is indicated as 19.5, slightly to the left of the peak of the graph. 
- The standard deviation (\( \sigma \)) is given as 5.4, which measures the spread of the distribution.
- The curve represents the distribution of scores, showing that most scores are clustered around the mean.

Understanding this graph is essential for grasping how data is distributed around a mean in a normally distributed set. The standard deviation informs how much variation there is from the average score.
Transcribed Image Text:The image contains a bell-shaped normal distribution curve, which is symmetric about a central value. The x-axis is labeled as "Score," and specific scores 19 and 21 are marked and highlighted with a vertical red dashed line at 20, indicating the mean (\( \mu \)) of the distribution. Key features: - The mean (\( \mu \)) is indicated as 19.5, slightly to the left of the peak of the graph. - The standard deviation (\( \sigma \)) is given as 5.4, which measures the spread of the distribution. - The curve represents the distribution of scores, showing that most scores are clustered around the mean. Understanding this graph is essential for grasping how data is distributed around a mean in a normally distributed set. The standard deviation informs how much variation there is from the average score.
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