This chapter open data files, dist_norm.sav. Different observation value calculated variables x1 corresponding to the distribution function of FIG.
→ select the conversion calculated variables, calculated variables dialog give
Create a new variable density01 in view, graphically plotted dist01 Builder broken line in FIG.
→ select the conversion calculation variable, creating a new density01, the numerical expressions which approximate density function value for dist01_lag
Graphically builder density01 line graph of a variable,
The generation density function values are approximate, very inaccurate. Indeed, SPSS provides precise expression data calculated from the density function of the density function value both PDF.
Repeat the process to generate additional variable density function value at different points N1,1 distribution density function value point density function value exactdens03 exactdens11N0,3
Here we compare 2 different from the above three parameters of normal distribution density function of the similarities and differences, we draw density function of three variables in the same coordinate system line chart
Select the graphic dialog L → G → old chart L, dialog box, select the multi-line chart, the data in the chart is the case by checking the value of the option box, clicking a button defined, to give the definition of a multi-line box in FIG line
Click the OK button, a density function curve. Density function distribution graph from three known, N0,1 density function of FIG rightward curve of a unit density function of N1,1, N0,1 and N1,1 therefore exactly the same pattern shape, and is N0,3 many flat, tail and N1,1 larger than many N0,1, indicating that the probability is greater and smaller values occur in this chapter is relatively high open data files, dist_norm.sav. Different observation value calculated variables x1 corresponding to the distribution function of FIG.
→ select the conversion calculated variables, calculated variables dialog give
Create a new variable density01 in view, graphically plotted dist01 Builder broken line in FIG.
→ select the conversion calculation variable, creating a new density01, the numerical expressions which approximate density function value for dist01_lag
Graphically builder density01 line graph of a variable,
The generation density function values are approximate, very inaccurate. Indeed, SPSS provides precise expression data calculated from the density function of the density function value both PDF.
Repeat the process to generate additional variable density function value at different points N1,1 distribution density function value point density function value exactdens03 exactdens11N0,3
Here we compare 2 different from the above three parameters of normal distribution density function of the similarities and differences, we draw density function of three variables in the same coordinate system line chart
Select graph G