Open the dataset in SPSS.
NOTE: If the file didn't automatically open when you double-clicked on it, then start SPSS and use
the FILE/OPEN menu to the file.
A. Go to "variable view" and observe the following variables: V8, V12, V13, V17 and V22. Check their "Labels", "Values" , "Measurement"... (do not print this section; just make sure you are familiar with what these varialbes are measuring.
B. Use the ANALYZE/DESCRIPTIVE
STATISTICS/FREQUENCIES menu to obtain Frequency distributions (tables) for variables V8, V12, V13, V17 and V22.
C. Use the GRAPHS/LEGACY DIALOGS/BAR menu to produce a bar diagram of V22.
USE:
i) "Simple" Bar Chart / "Summaries for groups of cases"
ii)
Move V22 to "Cateorgy Axis:"
iii)
Under "Bars Represent" use "% of cases"
D. Use the GRAPHS/LEGACY DIALOGS/PIE menu to produce a graph for V17.
USE:
i) "Summaries for groups of cases"
ii)
Move V17 to "Define Slices by:"
iii)
Under "Slices Represent" use "% of cases"
E. To compare whether there was a difference in length (V12) between articles that had graphics and those and did not (V13), use the DATA/SPLIT FILE menu to split the files by V22 (explanation below)
Select:
i)
"Compare Groups",
ii)
Move the variable V13 to the box "Group Based on"
iii)
Click OK.
iv) Then
use the GRAPHS/LEGACY DIALOGS/HISTOGRAM menus to graph V12 (move V12 into the box labelled "Variable."
(Note: You will get separate analyses
for articles with graphics and those without graphics under the split file condition that will remain in effect
until it is turned off or you quit SPSS)
F. Print parts B, C, D and E ONLY!
Provide brief written descriptions for ALL the tables. For instance, for part A-V8 "the majority of articles came from the Buffalo Bill Newspaper... while barely any articles came from the Cleveland Plain Dealer..." Make sure you circile the numbers in the TABLES (not the charts).
For part E, also tell me what are the
major differences -- if any -- between the two distributions in terms of Central
Tendency and Dispersion (namely the
mean and the standard deviation: s.d.). Put it in plain English. For example: Newspapers with color are on average more expensive than newspapers without color because (stat????) is higher than (stat????), but newspapers without color have a higher variance; ie. their price is more spread out or more variable because the (stat????) is bigger that the (stat????)...