A pharmaceutical company is testing a new mood elevating drug. To evaluate the optimal dosage of the drug company researchers recruit 60 participants (guinea pigs) who are randomly assigned to one of six treatment levels (0mg, 5mg, 10mg, 15mg, 20mg, and 25mg). The dependent variable in the study is a self-reported happiness scale that has a range of 1-25. Study results are presented in the following table.

0mg	5mg	10mg	15mg	20mg	25mg
7	5	2	20	16	16
5	8	10	11	8	12
1	4	5	7	11	6
4	8	7	10	3	4
3	2	13	15	16	5
8	7	10	8	11	8
2	4	13	11	9	9
1	2	2	9	9	19
9	8	9	19	24	6
1	4	5	7	11	6

Test the assumptions of the ANOVA using SPSS.

1. Test the assumption of normality. How many groups do not have normally distributed data (p< .05)?
   1. 0
   2. 1
   3. 2
   4. 3
   5. 4

2. What is the conclusion of the assumption of homogeneity of variances (p<.05 )?
   1. All groups have equal variances.
   2. All groups have different variances.
   3. At least one group variance is different from the others.

3. Based on the conclusions of the assumptions of normality and homogeneity of variances, what adjustments are needed?
   1. Welchs adjustment is necessary.
   2. The data should be transformed.
   3. A non-parametric method should be used.
   4. No adjustment is necessary.

The first question of interest to the researcher is, is there a trend in the happiness level as the amount of the drug consumed increases?

4. What is the maximum number of trends that can be assessed?
   1. 1
   2. 5
   3. 6