Display information on a normal curve

This means that most patients stay between 5 and 7.8 days, with a few outliers outside of this range. It is important to note that this is based on a sample of 15 patients, so it may not be representative of the entire patient population.
  • #1
CosmoK123456
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A hospital would like to determine the average stay for its patients having abdominal surgery. A sample of 15 patients revealed a sample mean of 6.4 days and a sample standard deviation of 1.4 days.How do you display this in a normal curve?? any help would be appreciated. Thanks
 
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  • #2
CosmoK123456 said:
A hospital would like to determine the average stay for its patients having abdominal surgery. A sample of 15 patients revealed a sample mean of 6.4 days and a sample standard deviation of 1.4 days.How do you display this in a normal curve?? any help would be appreciated. Thanks

Hi CosmoK! :)

The normal curve looks like this:
View attachment 1198

It has a mean of 6.4 days and a standard deviation of 1.4 days.
 

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    normal_curve_64.png
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FAQ: Display information on a normal curve

What is a normal curve?

A normal curve, also known as a bell curve, is a symmetrical distribution of data that follows a specific mathematical pattern. It is characterized by a single peak at the center and equal amounts of data on either side of the peak.

How is information displayed on a normal curve?

Information is displayed on a normal curve using a graph with the x-axis representing the values of the data and the y-axis representing the frequency or probability of those values occurring. The curve is then drawn to show the distribution of the data.

What is the purpose of displaying information on a normal curve?

The purpose of displaying information on a normal curve is to understand the distribution of data and to make predictions about future outcomes. It is also used to compare data sets and identify any outliers or unusual patterns.

How is the mean, median, and mode related to a normal curve?

The mean, median, and mode are all measures of central tendency and are related to a normal curve in that they all have the same value at the peak of the curve. In a normal distribution, these three measures are equal.

Can a normal curve be used to make predictions?

Yes, a normal curve can be used to make predictions about future outcomes based on the distribution of data. By calculating the area under the curve, probabilities can be determined and used to make informed decisions or predictions.

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