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Subtract the mean (6 4 = 2), Divide by the standard deviation. Your standardized value (z-score) will be: 2 / 1.2 = 1.7.
X: the observation (a specific value that you are calculating the z-score for). Mu(): the mean. Sigma(): the standard deviation.
X: the observation (a specific value that you are calculating the z-score for). Mu(): the mean. Sigma(): the standard deviation.
We subtract off the mean of X, which is, and divide through by the standard deviation of X, which is n, to obtain a standardized version of the sample mean: X/n.
The formula for calculating the standard score is given below: As the formula shows, the standard score is simply the score, minus the mean score, divided by the standard deviation.
Subtract mean and divide by standard deviation: Center the data and change the units to standard deviations. Subtract mean: Center the data. Divide by standard deviation: Standardize the scale for each variable that you specify, so that you can compare them on a similar scale.
Procedure for direct standardization Multiply the age-specific mortality rates of the other population under study to the number of persons in each age group of the standard population. By this way, you will get the expected deaths for each age group of each population.
Fourthly, the standardized rate is calculated dividing the total expected number of events in the standard population by the total standard population. In this case, 2,214.645 divided by 131,327 which gives 0.0169 or multiplying by 1,000 gives 16.9 deaths per 1,000 men.
week where you're standardizing the data set let me show a couple ways to do it when we're going to do it in Excel probably the easiest way and then we'll also do it in our calculator menu alright so for excel you're going to standardize the data set you need to know the mean and the standard deviation so the easiest thing to do highlight your data set come over here the autosum and just type or click the down arrow and then click average alright and there's our mean it showed up below there and then for standard deviation just start typing standard deviation so it just typed equals st and then standard deviation we need for a population for this so double click there and then it says where's your data just come up there highlight it hit enter so there's my mean and my standard deviation okay now up right here beside the very first one I'm going to type equals I'm going to start typing standardize and then it shows up I double click yet and then it says what's your x value I'm just going to click this very first one here and then it says comma mean comma standard deviation so I'm going to click comma and I'm click this is my mean , this is my standard deviation now before I close it out the way excels menu does when you're going to use the right corner and drag down it starts dragging down from all three of these like it will drag down to a 2 and then a 3 and then a 4 from here but also go down to 8 28 21 a 22 from here a 21 a 22 a 23 from here if I don't want it to move for these last two which are the mean and standard deviation I need to put a dollar sign in here and go up to the formula up here don't try to do it here go to the formula up here and put a dollar sign in front of the a and after the a and it locks in that value all right and then come and close it okay and now when I click and I noticed when I highlight that bottom right corner it turns black and then I can drag down all the way to the 90 right and then there's the standardized data set okay if you want to make more decimal places you just move it over all right les you just move it over the other way okay but I want to make just a standard cell size so it's fun and then just usually around your z-scores to two decimal places all right that's one way another way I'm going to come over here I've copied the data set again I'm going to do the same thing I'm going to find the mean and standard deviation just the same way I did before all right but now instead of doing the standardized notation like we did here I'm going to come in here I'm just going to type equals and I'm going to go through the formula for z-score which is remember it's X are the measurement from the data set right minus the mean here's the mean parentheses close divide by the standard deviation so X minus means divided by the standard deviation same thing as before because I don't want to go below that value for the mean and standard deviation I put the dollar signs around the D there all right and then same...

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