An independant variable is what you are manipulating. It causes change.

i.e. Time for studying is a test score vs. the test score.

French & Raven Five Forces of Power

Referent

This is the power from another person liking you or wanting to be like you. It is the power of charisma and fame and is wielded by all celebrities (by definition) as well as more local social leaders.

Reward

The ability to give other people what they want, and hence ask them to do things for you in exchange.

Legitimate

Legitimate power is that which is invested in a role. Kings, policemen and managers all have legitimate power. 

Coercive

This is the power to force someone to do something against their will. It is often physical although other threats may be used. It is the power of dictators, despots and bullies.

Expert

When I have knowledge and skill that someone else requires, then I have Expert power. 

Experiment

• True Experiment.
• Random Assignment.
• Hard to experiment to perform

• No control groups
• no random assignments

ANOVA

• Three or more samples might come from populations having the same mean
• Whether the differences among the samples might be caused by chance variation

Experiment

•  Any study in which a treatment is introduced is an experiment.

•  An experiment has at least one independent variable and at least one dependent variable.

•  A true experiment involves random assignment of participants to treatment groups.

H

0 is called the null hypothesis.

HA is called the alternative hypothesis

.

Michael Porter's

Five Competitive Forces

1. Rivalry
2. Purchasing Power of the Customer
3. Bargaining Power of the Supplier
4. Threats of New Entrants
5. Threats of Substitutes  

• Financial
• Customer
• Internal
• People

Financial measures are important because they tell you useful things like whether you are making a profit, but they only do this after the fact. If you want to get some warning about some impending financial problems before they happen, you can get this by measuring customer factors, such as satisfaction. You can also go further upstream to get warning about customer problems by looking at internal factors, such as process operation and delivery. And you can go even further upstream by looking at people factors, such as education and employee satisfaction. 

Multiple Regression

R^2

statistically significant 

statistically highly significant 

P < 0.05

P < 0.001