1). An industrial researcher is a consultant to a large chain of bookstores. Industry reports show that for book stores in general, the average number of complaints received by management for a 1-month period at this time of year is 6.5 (the variance is not known). Seven of this chain's stores are randomly selected to keep records of complaints received over a 1-month period. The numbers of complaints are 4, 8, 9, 0, 3, 5, and 6. Does this chain get a different amount of complaints than book stores in general? (Use the .05 level). 1. Input all data from the sample, not population, in one column. Make sure to label column. 2. Analyze- compare means- single sample t- test. 3. Move the variable associated with the sample to the right, and under test value, input the population (i.e., average 6.5) to the test value. 4. Continue or ok, and run it. One- Sample Statistics N Mean Sid. Deviation Sid. Error Mean Complaints 7 6.0000 3.05505 1.15470 One Sample T-Test statis Mean Cohen' df tic P difference s d Student' A -1.30 6.0 0.24 -1.50 -0.491 st 2 Note. H. population mean * 6.5 This chain gets a different amount of complaints than book stores in general. This is clear when calculating mean complaints. The mean is calculated by adding all the values then dividing by the number of values. The mean complaints for book stores in general is 6.5, while the mean complaints for this chain is 5; therefore, this chain gets less complaints than book stores in general. The p value is .242 so this is not statistically significant. It fails to reject null, since the difference is not statistically significant. The null is not statistically significant and p = .24