Leadership style Essay Example | Topics and Well Written Essays - 250 words

Leadership style - Essay Example From the course readings, it was established that transformational leaders are vision developers. They develop vision because they identify a problem and want to fix it. Transformational leaders want to fix the problem because they are concerned about the people and concerned for the task they have been chosen to perform. After developing the vision, which becomes the main target of his leadership, a transformational leader finds means to sell the vision to his followers. Though not charismatic, a transformational leader is on the heart of the people because the people know he is concerned about him. For this reason, selling the vision is never too difficult for the transformational leader. The followers are more easily to buy into the vision and help achieve them. Again, transformational leaders are trusted by their followers to be knowledge budded and vision oriented. For this reason, they are always excellent when it comes to leading the way to achieving the vision. It is for this reason that the Changing Minds Organization states that â€Å"some Transformational Leaders know the way, and simply want others to follow them.† Finally, because the transformational leader cares about change, his followers will be sure to depend on him to better their lives. For this reason, a transformational leader must learn to â€Å"make continued efforts to motivate and rally their followers, constantly doing the rounds, listening, soothing and enthusing† (Changing Minds Organization, 2011). This way, transformational leaders are always sure to pull the crowd behind them though charismatic leaders are commonly associated with crowd

INTRODUCTION TO STATISTICS Essay Example | Topics and Well Written Essays - 2000 words

INTRODUCTION TO STATISTICS - Essay Example However, this relationship is weak. Finally, sales per square meter and sales floor space of the store i the only combination with a negative relationship. The two variables have a correlation coefficient of -0.29379 which implies that when one variable increases, the other one decreases. The graph above displays data points that resemble a rising line from the left hand side to the right hand side of the graph. Even though most of the points are clustered to the left of the graph, the slope of the assumed line (line of best fit) is positive. This shows that there is a positive correlation which implies that the more the number of full-timers, the more the sales per square meter. This plot supports the calculated correlation coefficient (0.237185). Since the calculated t is greater than the tabulated t (4.876932>1.96), we fail to accept the null hypothesis and conclude that the relationship exists between sales per square meter and the number of full-timers. From the above graph, data points resemble a rising line from the left hand side to the right hand. Most of the points are clustered to the left of the graph but the slope of the assumed line (line of best fit) is positive. This depicts that there is a positive correlation implying that the more the number of part-timers, the more the sales per square meter. Moreover, it supports the calculated correlation coefficient of the two variables (0.050085). Since the calculated t is smaller than the tabulated t (1.001704