Team Management during a Project
Team Member Selection Team member selection is a process that involves mapping of skills and strengths of each individual member with that of the role and the job description for which they are being hired or taken into the team. The process should take into account the perceptions of the team member regarding the role […]
Executive Implementation Team Owns BPI Program
In any Organization, the BPI initiative to be a success would need to be first understood and owned as well as sponsored by the leadership. The leadership here includes mainly the business unit leaders who become the main sponsors of the BPI program. It is important for the Leaders to understand why BPI is required […]
Importance of Quality Management
“Quality management” ensures superior quality products and services. Quality of a product can be measured in terms of performance, reliability and durability. Quality is a crucial parameter which differentiates an organization from its competitors. Quality management tools ensure changes in the systems and processes which eventually result in superior quality products and services. Quality management […]
Repetitive and Process Manufacturing
Conventional shop floor control functionality of an ERP system, for the most part, is suitable for discrete manufacturing. However, during last two decades, interest surged for Just in Time manufacturing technique which is suitable for high volume repetitive manufacturing. New functionalities in the ERP system were developed to support repetitive manufacturing so as to maximize […]
Rational Approach to Project Management in Organizations
The evolution of organization theories from mechanistic to people based ones has influenced the approaches taken by managers in organizations towards the firm as well as organizing people. While the earlier decades of the 20th century witnessed the rise of the mechanistic of the rational approaches, since the 1970’s and particularly in the last decade […]
Hypothesis testing is one of the statistical method used to confirm the effect that critical few inputs have on the outputs. Hypothesis testing must be used when the inputs are measured discretely. The outputs may be discrete or continuous. However the inputs must be discrete, if the inputs are continuous then correlation and regression testing may be used. The fundamentals of framing a hypothesis have been explained in this article:
Any hypothesis testing always has two hypothesis, the null and the alternate hypothesis. The null hypothesis testing shows no relation between the samples, whereas the alternate test accepts the existence of a relationship. Hypothesis testing therefore considers both the possibilities. It statistically reaches a decision as to which of the two hypothesis is valid.
The very name null signifies zero. The null hypothesis therefore implies no relationship in the variable parameters that are being measured. The null hypothesis states that there is no significant difference in the samples being measured.
For instance consider a sample of people being served at Branch A of a bank and customers being served at Branch B of the bank and service level is the parameter being measures. The null hypothesis will state that there is no statistically significant difference between the service levels at Branch A and Branch B.
Similarly the null hypothesis can be written for multiple branches. It can state that there is no statistically significant difference in the service levels of Branch A, Branch B, Branch C, Branch D and Branch E.
The alternate hypothesis by its definition is the one that is opposed to the null hypothesis. We never select the alternate hypothesis. When we reject the null hypothesis, the alternate hypothesis automatically gets selected. There are various types of hypothesis like:
It is important to understand whether the alternate hypothesis should be written in the directional or non-directional form. This is because the statistical tests being used at the background change significantly.
Formulating the problem correctly maybe the most important role for the Six Sigma project person in the analyze phase. This is because there are tools which can automatically solve the problem, but that is only after they have been correctly formulated.
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