Q1)

The following probability distributions of job satisfaction scores for a sample of information systems (IS) senior executives and middle managers range from a low of 1 (very dissatisfied) to a high of 5 (very satisfied). Probability Job Satisfaction IS Senior IS Middle Score Executives Managers 1 0.05 0.03 2 0.09 0.10 3 0.03 0.13 4 0.43 0.47 5 0.40 0.27 (a) What is the expected value of the job satisfaction score for senior executives? (b) What is the expected value of the job satisfaction score for middle managers (c) Compute the variance of job satisfaction scores for executives and middle managers. executives middle managers(b) What is the expected value of the job satisfaction score for middle managers? (c) Compute the variance of job satisfaction scores for executives and middle managers. executives middle managers (d) Compute the standard deviation of job satisfaction scores for both probability distributions. (Round your answers to two decimal places.) executives middle managersSpectrum provides cab e television and internet service to millions of customers. Suppose that the management of Spectrum subjectively assesses a probability distribution for the number of new subscribers next year in the state of New York as Follows. x x) 100,000 0.10 200,000 0.20 300,000 0.25 400,000 0.30 500,000 0.10 500,000 0.05 (a) Is this probability distribution valid? Explain. lS/IS NOT ........................... This probability distribution valid because: 'or x = 100,000, 200,000, 300,000, 400,000, 500,000, 600,000. Also, Zx} = |:| . -Select )0le {b} What ls the probability Spectrum will obtain more than -1 s f[)