The new mean would be 7. The mean is the average of the data.
(x1+x2+x3+x4+x5+x6+x7+x8+x9+x10)/10=21
[(x1/3)+(x2/3)+(x3/3)+(x4/3)+(x5/3)+(x6/3)+(x7/3)+(x8/3)+(x9/3)+(x10/3)]/10=?
[(1/3)(x1+x2+x3+x4+x5+x6+x7+x8+x9+x10)]/10=?
[(x1+x2+x3+x4+x5+x6+x7+x8+x9+x10)/10]/3=
21/3=7
Given a set of data, order the observations by size. Then divide the set into four such that each part contains a quarter of the observations. These are the quartiles.
You calculate the sum of all the observations and divide the answer by the number of observations.
Suppose there are n observations. Put them in ascending order (smallest first) of size. Calculate k = n/4. Round up to the next integer, if necessary. Then Q1 is the kth observation in the ordered sets. Also Q3 is the 3kth observation in the ordered sets. IQR = Q3 - Q1 Calculation of the standards deviation is a lot more work. First find the mean = sum of all the observations, divided by the number of observations. Call that number M. Next find the mean "sum of squares", MSS. Square the value of each observation and add them together. Then divide this sum by the number of observations. Then the Variance is V = MSS - M2 Finally, the standard deviation is sqrt(V).
Since the average is the sum divided by 10 (in this case 10, because there are 10 data items), it follows that the sum is 10 times as much.
You add together all the observations for the variable of interest and divide the sum by the number of observations.
Given a set of data, order the observations by size. Then divide the set into four such that each part contains a quarter of the observations. These are the quartiles.
To calculate your score, we need to know the total possible score for the 25 questions. If each question carries an equal weight, we can assume that each question is worth 4% (100% divided by 25 questions). To find your score, multiply the percentage you achieved (84%) by the total possible score (4% per question) and divide by 100: Score = (84% * 4% * 25) / 100 Score = (0.84 * 0.04 * 25) / 100 Score = 0.84 Therefore, if you got 84% on 25 questions with each question being worth 4%, your score would be 0.84 or 84%.
You will need to use tables of z-score or a z-score calculator. You cannot derive the value analytically.The required z-score is 0.524401
You calculate the sum of all the observations and divide the answer by the number of observations.
If you want to find the structural efficiency the equation for structural efficiency is: maxmum mass the structure can withstand divided by the structure mass.
yes we can. because people find out what and they don't need observations
To find a percentage for example your score on a math test, you take your score on the test and divide it by the total marks of the test, and Multiply by 100. Ex. 50 marks on a test and you score a 45. 45 divided by 50 is 0.9, multiplying that by 100 gives you 90. Therefore your percentage was 90%
The selection index is where you have to score your selected animal you are going to breed. You first choose 5 or 6 criteria which is important to you such as good temperament, long legs etc. You then merit score how good your animals are between 1 and 10. Then you weighting which is giving your criteria a score between 1 and 4, you score this on how important each criteria is to you if you want in the young offspring. You then times the merit score by the weighting score for each criteria and then add them all up and put the score over 150 which is the maximum score than can be giving. You then find the percentage of that.
Making observations
Suppose there are n observations. Put them in ascending order (smallest first) of size. Calculate k = n/4. Round up to the next integer, if necessary. Then Q1 is the kth observation in the ordered sets. Also Q3 is the 3kth observation in the ordered sets. IQR = Q3 - Q1 Calculation of the standards deviation is a lot more work. First find the mean = sum of all the observations, divided by the number of observations. Call that number M. Next find the mean "sum of squares", MSS. Square the value of each observation and add them together. Then divide this sum by the number of observations. Then the Variance is V = MSS - M2 Finally, the standard deviation is sqrt(V).
Since the average is the sum divided by 10 (in this case 10, because there are 10 data items), it follows that the sum is 10 times as much.
To find the Z score from the random variable you need the mean and variance of the rv.To find the Z score from the random variable you need the mean and variance of the rv.To find the Z score from the random variable you need the mean and variance of the rv.To find the Z score from the random variable you need the mean and variance of the rv.