SPSS: Descriptive Statistics
by Selvarasu A Mutharasu, Annamalai University
Date: 19-01-2015 Time: 9:00 - 11:00
Venue: Lab II Room No.
Descriptives File: telco.sav
A telecommunications company maintains a customer
database that includes, among other things, information on
how much each customer spent on long distance, toll-free,
equipment rental, calling card, and wireless services in the
previous month.This information is collected in telco.sav.
Use Descriptives to study customer spending to
determine which services are most profitable.
Menu
screen
for
Descriptive
Analysis
Exercise
Select
1. Long distance last month,
2. Toll free last month,
3. Equipment last month,
4. Calling card last month, and
5. Wireless last month
as analysis variables.
Selected Variable Screen
Descriptive Summaries
1. Mean,
2. Median,
3. Std Deviation,
4. Minimum,
5. Maximum
6. Recode into the same variable
7. Skewness
8. Kurtosis
9. Log transformed data
10. z-Score data
11. Box Plot for case by case
Summary of descriptive statistics
Summary of descriptive statistics
Summary of descriptive statistics
Summary of descriptive statistics
Summary of descriptive statistics
Summary of descriptive statistics

Summary of descriptive statistics

  • 1.
    SPSS: Descriptive Statistics bySelvarasu A Mutharasu, Annamalai University Date: 19-01-2015 Time: 9:00 - 11:00 Venue: Lab II Room No.
  • 2.
    Descriptives File: telco.sav Atelecommunications company maintains a customer database that includes, among other things, information on how much each customer spent on long distance, toll-free, equipment rental, calling card, and wireless services in the previous month.This information is collected in telco.sav. Use Descriptives to study customer spending to determine which services are most profitable.
  • 3.
  • 4.
    Exercise Select 1. Long distancelast month, 2. Toll free last month, 3. Equipment last month, 4. Calling card last month, and 5. Wireless last month as analysis variables.
  • 5.
  • 6.
    Descriptive Summaries 1. Mean, 2.Median, 3. Std Deviation, 4. Minimum, 5. Maximum 6. Recode into the same variable 7. Skewness 8. Kurtosis 9. Log transformed data 10. z-Score data 11. Box Plot for case by case