Managerial Report Essay

641 Words May 2nd, 2013 3 Pages
Due Date:15.7.2006
BIS 541
Homework-1
Q-1. The national Health Care Association is concerned about the shortage of nurses the health care profession is projecting for the future. To learn the current degree of job satisfaction among nurses, the association has sponsored a study of hospital nurses throughout the country. As part of this study, a sample of 50 nurses were asked to indicate their degree of satisfaction in their work, pay, and oppurtunities for promotion. Each of the three aspects of satisfaction was measured on a scale from 0 to 100, with larger values indicating higher degrees of satisfaction. The data collected also showed the type of hospital employing the nurses. The complete data set is available on web.

Managerial
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The lowest paid employees work for firms with sales of less than $1 million. The typical outside salesperson made $50,000 in 2002, and the typical inside salesperson earned just $30,000. Suppose that a local chapter of ID professionals in the greater San Francisco area are conducted a survey of its membership to study the relationship, if any, between the years of experience and salary for individuals employed in outside and inside sales positions. On the survey, respondents were asked to specify one of three levels of years of experience: low(1-10 years); medium (11-20); and high (21 or more years). The complete data set is available on web.

Managerial Report 1. Use descriptive statistics to summarize the data. 2. Develop a 95% confidence interval estimate of the mean salary for outside salespersons. Compare your results with the national value reported by Industrial Distribution. 3. Conduct a hypothesis test to determine whether the mean salary for outside salespersons is equal to the $50,000.Use 0.01 level of significance. What is your conclusion? 4. Using 0.01 level of significance, test the hypothesis that the position is independent of the years experienced. What is your conclusion? 5. Use ANOVA to test for any significant differences due to position. Use a 0.01 level of significance, and for now, ignore the effect of years of experience. 6. Use ANOVA to test for any

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