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Name ___ Date ___ Period ___Worksheet1. The lifetimes of 10,000 watch batteries are normally distributed. The mean lifetime is 500 days. The standard deviation is 60 days. Sketch a normal curve that
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How to fill out normal curve with percents

01
Start by identifying the mean and standard deviation of the data set.
02
Use a standard normal distribution table or a statistical software to find the corresponding z-scores for the desired percentiles.
03
Once you have the z-scores, calculate the corresponding raw scores using the formula: raw score = (z-score * standard deviation) + mean.
04
Plot the calculated raw scores on the x-axis and the corresponding percentiles on the y-axis to create the normal curve with percents.

Who needs normal curve with percents?

01
Statisticians who want to analyze data and understand the distribution of a variable.
02
Researchers who need to make inferences and predictions based on a normally distributed data set.
03
Students studying statistics who need to visualize and interpret the normal distribution curve.
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A normal curve with percents represents a graphical depiction of a normal distribution where the area under the curve corresponds to the probability of data falling within certain ranges, expressed in percentages.
Typically, individuals or businesses that are involved in statistical analysis or that are required to report their data in a normal distribution format may need to file a normal curve with percents.
To fill out a normal curve with percents, gather your data, compute the mean and standard deviation, and then plot the curve based on these parameters, marking the percentiles accordingly.
The purpose of a normal curve with percents is to provide a visual representation of how data points are distributed, helping to understand probabilities and making it easier to identify outliers.
Important information includes the mean, standard deviation, and the various percentiles of the data being represented.
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