quantitative methods for decision makers · 2013. 11. 15. · what are quantitative methods?...
TRANSCRIPT
Mehdi Elharti
What are Quantitative Methods? involves the gathering, organization, and
mathematical analysis of information
enables decision makers to characterize a given entity/population quantitatively, compare it to another or others, and arrive at meaningful insights (inference)
Why Quantitative Methods?
Forecasting sales/revenues
Estimate competitive threats
Examining consumer attitudes
Evaluating advertising effectiveness
Establishing pricing policy
Appraise quality control
Data Information Knowledge Wisdom
Obtaining Data
Primary data: conduct your own research project
Secondary data: obtain data from
Market research firms
Advertising agencies
Trade associations
Professional associations
Governmental agencies
International agencies
Professional journals and publications …
Primary data: Sampling Probability sampling methods: every unit in the population
has a chance (greater than zero) of being selected in the sample. Simple random sampling
Stratified sampling
Cluster sampling
Systematic sampling
Nonprobability sampling methods: some elements of the population have no chance of selection (out of coverage) Convenience
Judgemental
Snowball …
Simple Random Sampling Every element of the population has an equal chance of
being selected
Used when the population is relatively homogeneous and a sample frame is available
Stratified Sampling The population is first separated into mutually
exclusive, homogeneous segments (strata)
A simple random sample is selected from each strata
the samples selected from the various strata are then combined into a single sample.
Stratified sampling is used when:
the population is heterogeneous according to a particular characteristic
the characteristic upon which the population is stratified is strongly correlated with the variable we seek to obtain
Cluster sampling Cluster sampling is when elements of the population
are randomly selected in naturally occurring groupings (clusters).
It is used when:
it is impossible or impractical to create a sampling frame of a population
the target population is widely dispersed geographically, making data collection costs relatively high
Representing Data There is a multitude of graphs to represent your data:
Line graphs
Bar chart (vertical/horizontal)
Pie Chart
Scatter diagram
The trick is to know which one to use
Rainfall and average wheat yield
Department
StoreTotal Sales by DepartmentA B C
Clothing 254 68 152 474
Furniture 129 287 25 441
Electronics 74 310 245 629
Total sales by Store 457 665 422 1544
Sales data of a department chain in 2005
Shoe size and height