<\/span><\/h2>\nTo find the missing value from the mean, you need to follow these steps:<\/p>\n
Step 1:<\/b> Sum up all the values in the dataset, including the missing value.<\/p>\n
Step 2:<\/b> Count the total number of values in the dataset, excluding the missing value. Let’s assume this count as ‘n’.<\/p>\n
Step 3:<\/b> Calculate the mean by dividing the sum from step 1 by the total count from step 2.<\/p>\n
Step 4:<\/b> Multiply the mean calculated in step 3 by the total count from step 2.<\/p>\n
Step 5:<\/b> Subtract the sum from step 1 (including the missing value) from the result of step 4.<\/p>\n
The value obtained from step 5 will be the missing value from the mean.<\/p>\n
Example:<\/b> Let’s understand this approach with a practical example. Consider the following dataset: 10, 15, 18, 12, 17, ?, 14. We need to find the missing value.<\/p>\n
Step 1:<\/b> Sum of all values including the missing value: 10 + 15 + 18 + 12 + 17 + ? + 14 = 86 + ?.<\/p>\n
Step 2:<\/b> Total count of values excluding the missing value: 6.<\/p>\n
Step 3:<\/b> Mean = (86 + ?) \/ 6.<\/p>\n
Step 4:<\/b> (86 + ?) \/ 6 * 6 = 86 + ?.<\/p>\n
Step 5:<\/b> (86 + ?) – 86 = ?.<\/p>\n
Therefore, the missing value is ? = 0.<\/p>\n