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         e)    Defective: 600      Non-Defective: 9400

8.

For what values of the computed chi-square statistic would we conclude that the defective rates are not all equal among the brands, where the chi-square statistic is:

Conclude defective rates are not all equal at the =0.05 significance level if:

  a)     obs2 12.592        b) obs2 15.507          c) obs2 7.815         d) obs2 3.841        e) obs2  9.488

The following 2 Problems are based on this information

     A telemarketing firm’s human resource manager is interested in the relationship between the number of weeks worked before quitting for previous employees (Y) and the employees’ ages (X).  He obtained a random sample of n=100 employees who had quit during the previous year, observing Y and X for each employee. He obtained the following information based on the simple linear regression model with independent and normally distributed errors:

9.

Give the estimate for the change in mean number of weeks worked before quitting corresponding to an increase of 1 year in age.

a)   1.23           b)  0.46            c)    0.81          d)    25.9         e)  -5.89   

10.

Give the estimated standard error of the estimate in the previous question

             a)  0.0027            b)  4.4162      c)  0.1086        d)   0.4416      e)  0.4799

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