Health Care Managmeant Assignment Example | Topics and Well Written Essays - 500 words

Health Care Managmeant - Assignment Example Most often, the change starts small to include daily tasks of the employees in a shorter span of time. Large scale on the other hand, embraces to change the entire culture of the organization with a longer duration. For changes to occur in a small scale organization, the behavior of the employees has to be positively influenced. Observation has it that employees tend to comply readily if they know that a reward is at stake as an incentive of their performance. While implementing change without something to compensate the employees’ effort will take time or even resisted. This observation is supported with Vrooms expectancy theory where it states that motivation depends on certain variables (Miner, 2007). One is valence which simply means reward. Employees are expected to work hard if they know the valence available is of their interest. For instance, promotion as a valence is something vital for employees so the tendency is for them to positively accept change whether the chan ge would include additional responsibilities or trainings. Such behavior may result to another variable that is expectancy believed to be the effort that results in the attainment of the desired performance.

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An assigment topic will send by file - Assignment Example s as compared to false positives (Type I errors) since doctors rarely get a second chance to assess people who believe that they are healthy and may thus not return. In order to reduce the chance of errors leading to false negatives, the government could set in place a system where each sample is tested twice, thus reducing the chance that a consistent false negative will be obtained. If this is not possible, testing procedures could be tried with larger samples of people or the criteria for recording a negative be made more stringent (accept more ambiguous positives). Thus, P(P1 and H1) ≠  P(P1)  Ã‚ ·Ã‚  P(H1). Similarly, using the equation shows that P(P1 and H2) ≠  P(P1)  Ã‚ ·Ã‚  P(H2); P(P2 and H1) ≠  P(P2)  Ã‚ ·Ã‚  P(H1) and P(P2 and H2) ≠  P(P2)  Ã‚ ·Ã‚  P(H2).This means that the two conditions are not independent of each other, but have a strong association. The distribution presented is positively skewed, as is evident from the difference seen between the calculated mean, median and mode. Given this, the median would be the most appropriate measure of central tendency to use with this distribution since it is robust against the change in extreme values. The mean would be biased towards the higher scores whereas the mode would not be appropriate as it would be biased towards the lower end of the distribution. The data in this distribution is not normally distributed, but has a positive skew. This is evident from the measures of central tendency, the frequency distribution and the histogram. The distribution has a high mean and relatively lower median with the value for mode being lowest. The frequency distribution shows that over half the frequencies are found in the first two groups and the frequencies taper off towards the higher side. The histogram also verifies that the frequencies are bunched to the lower end of the distribution. Thus, this is positively skewed and not a normal