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  1. Excel has some very useful functions for finding areas under the normal distribution. Z is the value for which you want the distribution. Returns the standard normal cumulative distribution function. The distribution has a mean of 0 (zero) and a standard deviation of one. Use this function in place of a table of standard normal curve areas.

  2. In this video, I demonstrate how to find the area under the normal curve using Excel. Technology makes the process quicker than using a table. If you want to...

    • 9 min
    • 14.6K
    • Math and Stats Help
  3. Nov 28, 2021 · This video shows how to find areas under the normal curve (in Excel or GoogleSheets using =NORM.S.DIST()) for the probabiity questions below:a) P(-1.98 ≤ z ≤...

    • 8 min
    • 6.9K
    • Joshua Emmanuel
  4. In this lesson, I will show how to fill a selected area under the normal distribution curve in Microsoft Excel with a color.A typical question in the context...

    • 7 min
    • 7.7K
    • IHDE Academy
  5. The operation of the function, in this case, looks like this =NORM.DIST (3.5,2.5,.5,true)-NORM.DIST (2,2.5,.5,true). This is self-explanatory. By subtracting the whole area to the left of 3.5 from the area to the left of 2 you will be left with the center. To find the total area for each of the tails you could subtract the area in the center ...

  6. The NORM.DIST function returns values for the normal probability density function (PDF) and the normal cumulative distribution function (CDF). For example, NORM.DIST (5,3,2,TRUE) returns the output 0.841 which corresponds to the area to the left of 5 under the bell-shaped curve described by a mean of 3 and a standard deviation of 2.

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  8. Aug 5, 2024 · Step 8: Copy the Formula. Drag the fill handle to copy the formula to other cells if you have multiple data points. This step saves time and ensures consistency across your data set. After you complete these steps, Excel will calculate the normal distribution for your data. You can use this information to understand trends, make predictions, or ...

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