Adaptability and Taking Initiative in an It Industry

One whose strength is adaptability chooses to “deal with events, people, or facts as they present themselves” (“Strengths Insight Report”). When planning and trying to make decisions, I have to use my viewfinder to see how the outcome will specifically affect me presently. My scope does not often project into the future. Likewise, it is unusual for me to draw from the past when I make decisions. I live day by day. While this may not always be the most thoughtful approach, it has invariably been mine.

“Competency models describe the behaviors and skills managers need to exhibit if an organization is to be successful” (Hughes, Ginnett, & Curphy, p. 252). In many organizations, competency models can differ between the different hierarchies of managers. As a person’s leadership role evolves so do the behaviors and skills he or she must possess to be an effective leader. This statement holds firm as with the case of Andra Rush.

Exercises 10.59 and 10.61 require the use of the “One-Way ANOVA” function within the Data Analysis menu in Excel. Refer to Appendix E10 for instructions on using Excel for these exercises.

Testing allows the p-value that represents the probability showing that results are unlikely to occur by chance. A p-value of 5% or lower is statistically significant. The p value helps in minimizing Type I or Type II errors in the dataset that can often occur when the p value is more than the significance level. The p value can help in stopping the positive and negative correlation between the dataset to reject the null hypothesis and to determine if there is statistical significance in the hypothesis. Understanding the p value is very important in helping researchers to determine the significance of the effect of their experiment and variables for other researchers

In the changing business environment, leaders of all organisations may face unprecedented uncertainty, especially the technology advancement and changes among the employees. To survive and succeed, leaders should have some necessary attributes. Meanwhile, some changes for leadership skills have to be made to confront the challenges.

21. Suppose that you are designing an instrument panel for a large industrial machine. The machine requires the person using it to reach 2 feet from a particular position. The reach from this position for adult women is known to have a mean of 2.8 feet with a standard deviation of .5. The reach for adult men is known to have a mean of 3.1 feet with a standard deviation of .6. Both women’s and men’s reach from this position is normally distributed. If this design is implemented:

When examining the differences between two or more groups, you can use the analysis of variance which is known as ANOVA. This is a statistical technique that is used to compare the means or averages of more than two groups. There are three uses of ANOVA which are the one-way, the two-way and N-way Multivariate ANOVA. (Solutions, 2013) The determining factor when to use one of the “ways” is dependent upon how many “treatments” are used in the study. We use the term treatment because ANOVA originated in the 1920’s to test different treatments of fertilizers’ crop yields. ("Analysis of Variance," 2012, p. 2) Here, we will cover the one-way and the two-way ANOVA.

Since the P-value (0.386) is greater than the significance level (0.05), we fail to reject the null hypothesis. The p-value implies the probability of rejecting a true null hypothesis.

P-value represents a decimal between 1.0 to below .01. Unfortunately, the level of commonly accepted p-value is 0.05. The level of frequency of P>0.05 means that there is one in twenty chance that the whole study is just accidental. In other words, that there is one in twenty chance that a result may be positive in spite of having no actual relationship. This value is an estimate of the probability that the result has occurred by statistical accident. Thus, a small value of P represents a high level of statistical significance and vice

Let’s use what you learned not only earlier in the class but also information from Module 7 for this assignment. Answer the following questions using your newfound knowledge about applying bivariate statistics and their p values to published results. Make sure you answer all parts of the question to get full credit.

Leading change involves an individual's ability to bring about strategic change within and outside an organization to meet the goals of that particular organization. This executive core qualification should establish an organization's vision and implement it in a continuously changing environment (OPM, 2006). Some of the competencies involved here include creativity and innovation, external awareness, flexibility, resilience, strategic thinking, and vision. Creativity and innovation helps an individual to develop new insights into situations, question conventional approaches, and design and implement new or cutting edge programs (OPM, 2006). A flexible individual will always be open to change and new information and rapidly adapt to new information. Resilience helps one to deal effectively with pressure and remain optimistic and persistent. Strategic thinking competency is critical in formulating objectives and priorities and implements an organization's long term interests.

Table 2: Average distance traveled measurements from the entire class for each condition of the experiment along with variance and standard error.

The mean for variable 1 (Southern Africa) is 2.48. The mean for variable 2 (North Africa) is 2.28. The standard deviation for variable 1 is 1.077 and for variable 2, 9.68. The number of participants in each condition variable 1 N = 16922 and variable 2 N = 5466.

Visioning is the first step, but there are other competencies that are important to managing and controlling the direction of a company’s path. By putting together a list of these competencies, an individual/company as well and will also be able to deal with change and manage the effects of change. The key competencies that have the most impact on career development and change in management are:

The second step is defining the significance level, determining the degrees of freedom and finding the critical value. The a-level shows that for a result to be statistically significant, it cannot occur more than the a-level percentage of time by chance. The critical value can be obtained by using the t-test table. The degrees of freedom is