POSTGRADUATE STUDY
NV4602
Data Analysis: Exploring
Relationships
Ethical Use of Data
Descriptive Statistics
Last session review
Descriptive Statistics
“The sample consisted of 300 company employees (52% male, 48% female), ranging in age from 21 to 52 years (mean
= 30 years, standard deviation = 5 years).” (H.L., 2013, p.24) lbic.navitas.com navitas.com
Descriptive Statistics
“The sample consisted of 300 company employees (52% male, 48% female), ranging in age from 21 to 52 years (mean
= 30 years, standard deviation = 5 years).” What is the difference between population and sample?
What is a ‘good’ sample?
lbic.navitas.com
navitas.com
Descriptive Statistics
“The sample consisted of 300 company employees (52% male, 48% female), ranging in age from 21 to 52 years (mean
= 30 years, standard deviation = 5 years).” Spot the categorical variable!
What descriptive statistics did HL perform for it?
lbic.navitas.com
navitas.com
Descriptive Statistics
“The sample consisted of 300 company employees (52% male, 48% female), ranging in age from 21 to 52 years (mean
= 30 years, standard deviation = 5 years).” Spot the continuous variable!
What descriptive statistics did HL perform for it?
lbic.navitas.com
navitas.com
Descriptive Statistics
HL’s data on age are normally distributed.
“... (mean = 30 years, standard deviation = 5 years)...” What is the age range of 68% of the employees?
If a participant is
50 yo, how many SDs away from the mean is he/she? lbic.navitas.com navitas.com
Quantitative Research: the process so far
1.
2.
3.
4.
5.
6.
7.
8.
Research Topic/Research Questions
Quantitative Research Design
Run Experiment or Survey
Collect Quantitative Data
Set up your SPSS file
Enter data
Explore data using descriptive statistics
Now you can analyse your data!
Conduct statistical analyses to explore relationships
Conduct statistical analyses to compare groups
lbic.navitas.com
navitas.com
NV4602 Research