QDA 😒
Formula sheet:
https://s3-us-west-2.amazonaws.com/secure.notion-static.com/867383e3-023
f-42c9-945c-0d02d804d546/Formula_sheet_QDA1_August_2021.pdf
Table sheet:
https://s3-us-west-2.amazonaws.com/secure.notion-static.com/4926bca4-723
5-43d5-834c-b968aedadac5/Table_sheet_QDA1.pdf
Data types, exploring data
Basic concepts:
Population - N
complete group of interest
all values within the whole group of interest
Sample: - n
The observed values
Random sampling
Variables:
Continuous: interval of possible values, like income, temperature
in SPSS scale variable
Discrete: series of isolated values
= Quantitative
Binary variable - k=2 categories
Ordinal - ordered categories
QDA😒 1
, Nominal - unordered categories
= Qualitative
variables can always be treated as a variable of a lower type
but in survey always use the highest one
Likert variables - measure judgement
is ordinal, but treated as quantitative
SPSS
For qualitative data(categorical) we use:
frequency table
bar chart
pie chart
mode
median - only for ordinal
For quantitative data
Accounting
Operations
HR
Marketing
We use:
Histogram - provides information about the distribution of the values
1. Location - central value = mean
2. Spread - variability=dispersion
3. Skewness - lack of symmetry
QDA😒 2
Formula sheet:
https://s3-us-west-2.amazonaws.com/secure.notion-static.com/867383e3-023
f-42c9-945c-0d02d804d546/Formula_sheet_QDA1_August_2021.pdf
Table sheet:
https://s3-us-west-2.amazonaws.com/secure.notion-static.com/4926bca4-723
5-43d5-834c-b968aedadac5/Table_sheet_QDA1.pdf
Data types, exploring data
Basic concepts:
Population - N
complete group of interest
all values within the whole group of interest
Sample: - n
The observed values
Random sampling
Variables:
Continuous: interval of possible values, like income, temperature
in SPSS scale variable
Discrete: series of isolated values
= Quantitative
Binary variable - k=2 categories
Ordinal - ordered categories
QDA😒 1
, Nominal - unordered categories
= Qualitative
variables can always be treated as a variable of a lower type
but in survey always use the highest one
Likert variables - measure judgement
is ordinal, but treated as quantitative
SPSS
For qualitative data(categorical) we use:
frequency table
bar chart
pie chart
mode
median - only for ordinal
For quantitative data
Accounting
Operations
HR
Marketing
We use:
Histogram - provides information about the distribution of the values
1. Location - central value = mean
2. Spread - variability=dispersion
3. Skewness - lack of symmetry
QDA😒 2
