Suggest situations where the researcher should be more concerned with Type II error than with Type I error

1. Suggest situations where the researcher should be more concerned with Type II error than with Type I error.
   1. How can the probability of a Type I error be reduced?  A type II error?
   2. How does practical significance differ from statistical significance?
   3. Suppose you interview all the members of the freshman and senior classes and find that 65 percent of the freshmen and 62 percent of the seniors favor a proposal to send Help Centers offshore.  Is this difference significant?

1. You are curious about whether the professors and students at your school are of different political persuasions, so you take a sample of 20 professors and 20 students drawn randomly from each population.  You find that 10 professors say they are conservative and 6 students say they are conservative.  Is this a statistically significant difference?

1. A random sample of students is interviewed to determine if there is an association between class and attitude toward corporations.  With the following results, test the hypothesis that there is no difference among students on this attitude.

Favorable      Neutral           Unfavorable

            Freshman                               100               50                     70

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Sophomores                            80                60                     70

Juniors                                   50               50                     80

Seniors                                   40               60                     90

1. A computer manufacturer is introducing a new product specifically targeted at the home market and wishes to compare the effectiveness of three sales strategies:  computer stores, home electronics stores, and department stores.  Numbers of sales by 15 salespeople are recorded below:

Electronics store:  5, 4, 3, 3, 3

Department store:  9, 7, 8, 6, 5

Computer store:  7, 4, 7, 4, 3

1. Test the hypothesis that there is no difference between the means of the retailers (x = .05).
2. Select a multiple comparison test, if necessary, to determine which groups differ in mean sales (x = .05).