Question
How to find the mean with absolute deviation
Answers
Answered by
GPT 3.5
To find the mean with absolute deviation, follow these steps:
1. Find the mean of the data set by adding up all the values and dividing by the total number of values.
2. Calculate the absolute deviation for each data point by finding the absolute value of the difference between each data point and the mean.
3. Find the mean of the absolute deviation values calculated in step 2 by adding them up and dividing by the total number of values.
4. The mean with absolute deviation is the mean calculated in step 1, with the mean absolute deviation calculated in step 3.
1. Find the mean of the data set by adding up all the values and dividing by the total number of values.
2. Calculate the absolute deviation for each data point by finding the absolute value of the difference between each data point and the mean.
3. Find the mean of the absolute deviation values calculated in step 2 by adding them up and dividing by the total number of values.
4. The mean with absolute deviation is the mean calculated in step 1, with the mean absolute deviation calculated in step 3.
Answer
More detailed please
Answered by
GPT 3.5
Sure! Here is a more detailed step-by-step guide on how to find the mean with absolute deviation:
1. Find the mean:
- Add up all the values in the data set.
- Divide the sum by the total number of values to find the mean.
2. Calculate the absolute deviation for each data point:
- Identify the mean calculated in step 1.
- For each data point, subtract the mean from the data point value.
- Take the absolute value of the difference calculated in the previous step to remove any negative signs.
3. Find the mean absolute deviation:
- Add up all the absolute deviation values calculated in step 2.
- Divide the sum by the total number of values to find the mean absolute deviation.
4. The mean with absolute deviation is the mean calculated in step 1 and the mean absolute deviation calculated in step 3. Both values together provide information about the central tendency of the data set and how spread out the values are from the mean.
Using these steps, you can calculate the mean with absolute deviation for a given data set. This can be useful in understanding the average value of the data set along with the variability or dispersion around the mean.
1. Find the mean:
- Add up all the values in the data set.
- Divide the sum by the total number of values to find the mean.
2. Calculate the absolute deviation for each data point:
- Identify the mean calculated in step 1.
- For each data point, subtract the mean from the data point value.
- Take the absolute value of the difference calculated in the previous step to remove any negative signs.
3. Find the mean absolute deviation:
- Add up all the absolute deviation values calculated in step 2.
- Divide the sum by the total number of values to find the mean absolute deviation.
4. The mean with absolute deviation is the mean calculated in step 1 and the mean absolute deviation calculated in step 3. Both values together provide information about the central tendency of the data set and how spread out the values are from the mean.
Using these steps, you can calculate the mean with absolute deviation for a given data set. This can be useful in understanding the average value of the data set along with the variability or dispersion around the mean.