 Next on from just drawing some simple graphs to get a visual feel of the data is just to do some very simple descriptive statistics let's go up to analyze and Reports at the top second one is for me as descriptive statistics, and I'm going just down to Descriptives and hit reset so that everything is clear This is what you'll see the first time and it's just select age And we can click this button to bring it in or I can just simply take age and drag it into the variable That's all I want. I want simple descriptive statistics of the age I can hit this option button and I can choose what I want inside of that those descriptive statistics Certainly, I want the mean I certainly want the standard deviation I would like to know what the minimum and maximum was I might even want to know what the range was That's just the difference between minimum and maximum. It's not the interquartile range. It's the full range maximum minus minimum I can get the skewness and kurtosis as well, and I'm going to hit continue and okay This is the syntax that was generated by SPSS and right at the bottom here. We see that we have descriptive statistics for the age It just gives us a valid in all 250 cells were entered so we don't have any missing data We see that we have 250 cases the Range was 67 that is 85 was the maximum 18 minimum and 85 minus 18 is 67 It tells us the mean was 51.02 for me yours will be different. The standard deviation was 19.793 We see the skewness there as far as the statistic and its standard area is concerned and the kurtosis as well Of course the closer these both are to zero the more we have a normal distribution Let's go back here to our data. What about all of these other scale or Numerical variables. I'm going to say analyze descriptive Descriptive just going to hit reset so that everything is clear and this time. I'm going to take all these little scale or Continuous numerical variables, and I'm going to Do all of them in one go my options once again. I want minimum maximum. I want to mean I want the range Don't want skewness and kurtosis. Let's just say okay and okay, and now we see we get a much bigger chart here Much bigger table. I should say and we have all of them age temperature heart rate white salt count and months We see 250 in each of those and once again We see the range that is maximum minus minimum We see the mean and we see or the average or and we see the standard deviation So all in one go we can have a look at the descriptive statistics for all of our numerical variables there What about the categorical variables? I'm going to show you from Let's take a diabetes versus Diabetes versus outcome, let's do diabetes versus outcome. I just want to create a little matrix That's columns and rows of values counting. How many patients? Survived did not have diabetes. How many survived did have diabetes? How many who died did not have diabetes? How many who died did have diabetes? So we're going to go to Analyze descriptive down to cross tabs. It's going to reset those So I want to know the diabetes Against the outcome now they can go in in any order. So you can change those around I'm not going to do any statistical analysis on this for now I just want a simple table that I can have a look at my Categorical variables and then we see patients who died and who survived without diabetes with diabetes So in my instance, I had 67 patients with diabetes who died and 55 patients I should say without diabetes who died and 55 without diabetes who survived 62 patients who died and had diabetes and 66 who survived and had diabetes So you get a nice overview here of your categorical variables. So there we go simple descriptive statistics Next up though, I'll show you how to do these but to split them up We could well imagine that we have age up here We see the mean was 51.02 and the standard deviation was 19 But we wanted to know what's their age difference between the survivors and those who died Not just the overall So we need to split our data set into those who survived and those who died so that when we do descriptive Statistics on the edge we get those just descriptive statistics for each of those two groups