The following states: A computer software organization was encountering serious

Question

The following states:

A computer software organization was encountering serious problems in predicting the man-day requirements for implementing large-scale programming projects. As part of a study on how to improve predictions, the company asked 24 programmers to predict the number of man-days for a large project about to be undertaken. The programmers were given full details about the specifications for the project. The programmers were classified by type of experience and amount of experience, and after the project was completed the forecasting errors were obtained. The forecasting errors (man-days predicted minus actual man-days) were: Amount of Experience DO NOT TRANSFORM the data for parts (a and b). State the model you will use to analyze the effects of amount and type of experience on the forecasting error. Test whether the factors have any main effects and whether they interact. Use a level of significance of .05 for each test. Summarize your results.

Explanation / Answer

(a)We can use the normal distribution model to analyze the effects of amount and type of experience on the forecasting error

(b)Main factors include1. Years of experience-In small scale systems a increase in 3yrs of experience reduces the data by approximately 1/6==> (p<0.05)

2.Type of scale-systems - large scale systems affects the record by factor of around 1/3 Hence this is also a main factor.

yes,these two factors are interact because years of experience have less effect on large-scale systems

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