Test 2 Flashcards
4 P’s
Policies
Place
People
Procedure
What are the deliverables of the SIPOC process
Select Project Y
Develop Data Collection Plan
Describe and Display Variation
Calculate Process Sigma
6 M’s
Machines Materials Methods Measurements Mother Nature Mankind
Data Collection
Types of Data
Measurement Scales
Sampling Methods
Collection Methods
What are the three types of data?
Attribute Data
Variables Data
Locational Data
Variable Data
Measured on continous scale
Attribute Data
Involve counts of articles or counts of events.
Locational Data
Does not fit into either category discussed. Answers the question “where”
NOIR
Nomial
Ordinal
Interval
Ratio
Nominal
Data consists of names or categories only. No ordering scheme is possible.
Ordinal (Ranking)
Dats is arranged in some order but differences between values cannot be determined or are meaningless.
Interval
Data is arranged in order and differences can be found. However, there is no inherent starting point and ratios are meaningless.
Ratio
An extension of the interval level that includes an inherent zero starting point. Both differences and ratios are meaningful.
Basics of collecting data
Observational Study
Experimental Study
Observational Study
Observing and measuring specific characteristics without attempting to modify the subjects being studied.
Experimental Study
Apply some treatment and then observe its effects on subjects; (subjects in experiments are called experimental units)
Sampling Methods
Random Systematic Convenience Stratified Cluster
Random Sample
Members from the population are selected in such a way that each individual member in the population has an equal chance of being selected.
Probablity Sample
Selecting members from a population in such a way that each member of the population has a known chance of being selected.
Convenience Sampling
Uses results that are easy to get
Systematic Sampling
Select some starting point then select every kth element in the population.
Stratified Sampling
Subdivide the population into at least two different subgroups that share the same charateristics, then draw a sample from each subgroup (or stratum)
Cluster Sampling
Divide the population area into sections; randomly select some of those clusters; choose all members from selected clusters