what is the meaning of sum?
and total
aggregate is the total of sum numbers(till now i used to take it same as average) while average is there sum divided by total number of numbers..:)
ernycs
The sum of 0.2 and 0.3 is 0.5, while the product of 0.2 and 0.3 is 0.06. To find the difference between these two results, subtract the product from the sum: 0.5 - 0.06 = 0.44. Therefore, the difference between the sum and the product is 0.44.
Difference between the sum of the squares and the square of the sums of n numbers?Read more:Difference_between_the_sum_of_the_squares_and_the_square_of_the_sums_of_n_numbers
Factors of 25: 1, 5, 25 Their sum = 31 Difference between 31 and 8 = 23.
sum is addition difference is subtraction
aggregate is the total of sum numbers(till now i used to take it same as average) while average is there sum divided by total number of numbers..:)
Sum is a general operand. Sum if requires certain conditions to be met. For example - you could have a list of daily sales for a year. Sum will total all the figures to give an annual total. Sum if would yield a total (as an example) for just October - provided you use the correct formula.
ernycs
No difference. Some companies use each word interchangeably.
Factors of 25: 1, 5, 25 Their sum = 31 Difference between 31 and 8 = 23.
Difference between the sum of the squares and the square of the sums of n numbers?Read more:Difference_between_the_sum_of_the_squares_and_the_square_of_the_sums_of_n_numbers
The difference, in a subtraction sum, is the answer to the sum. For example, the difference between 6 and 4 is equal to 2. 6 - 4 = 2.
ranges evaluated
The sum of 75 and 75.
To calculate the total number of participants in a study, you typically sum the number of participants in each group or condition. Degrees of freedom (df) can be calculated as the total number of participants minus the number of groups (df = N - k, where N is the total number of participants and k is the number of groups). Sum of squares (SS) is calculated by taking the difference between each participant's score and the overall mean, squaring those differences, and then summing them up. In ANOVA, the total sum of squares (SST) is the sum of the between-group sum of squares and the within-group sum of squares.
445