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SPSS IBM SPSS Statistics Certification Level 1 (formerly PASW Statistics) Sample Questions:

1. Consider the AGE in the data file below. You have been asked to use this in cross tabulation with GENDER. How would you proceed? (Select all that apply)

A) Go to Analyze ... Descriptive Statistics ... Crosstabs .... specify the variables and click OK
B) Use Recode into Different Variables ... to create a categorical equivalent to AGE and proceed as per option A
C) Use Visual Binning to create a categorical equivalent for AGE and proceed as per Option A above
D) Use Visual Binning to create a categorical equivalent for AGE and run Frequencies

2. What is the main advantage of using syntax?

A) It is the same format as syntax in other statistical software.
B) It can be saved and retrieved for subsequent analyses.
C) It can be run using the menus.
D) It is the most popular way of running IBM SPSS Statistics.

3. After studying the figure below, select the correct statement.

A) DataSet2 Is both the file and dataset name.
B) DataSet2 is the dataset name.
C) DataSet2 is the file name.
D) Gss93.sav is the dataset name.

4. If you build an expression manually, so opposed to using a function (e.g. specify (V1+V2)/2)), which statement is true?

A) If any of the variables used in the expressions has a missing value, it will be ignored and the expression will proceed to evaluate with variables that have valid values.
B) If any if the variables used in the expressions has a missing value, the result for the case is a system value.
C) It will always return a valid value for each case, regardless of whether one or more of the source variables are missing.
D) If any of the variables used in the expressions has a missing value, you will get a Notification pointing this out before you proceed.

5. For a variable salary we have the statistics as shown in the figure below.

The reported Mean is incorrect because a value, -9999, is included in its calculation. How can this situation be fixed?

A) Define -9999 as a system-missing value
B) Define -9999 as both a system- and user-missing value
C) Remove all cases with the value -9999 for the variable salary from the data file
D) Define -9999 as a user-missing value

Solutions: