Similar to Exercise 6.3.33, researchers Dumas and Dunbar wanted to compare creativity of students with different majors at their university, specifically biology and theater. As a measure of their creativity, they were shown 10 items and asked to generate as many different uses for these items as possible. Results similar to those found by the researchers are in the file BiologyTheater. Put the data in the Multiple Means applet to answer the (a)–(c). 

a. Which major generated more uses for the items on average? 

b. Calculate and interpret the 95% confidence interval for the difference in average creativity (as measured by finding multiple uses for objects) between the biology majors and theater majors.

c. Based on your confidence interval, is there strong evidence of a difference in mean number of uses for the objects between biology and theater majors? Explain how you are determining this.

Data from Exercise 6.3.33

Researchers Dumas and Dunbar wanted to see whether stereotypes related to creativity can influence the creativity of a subject (2016). The 64 subjects were randomly placed into two groups of 32 each. One group was told to imagine that they were rigid librarians and another group was to imagine they were eccentric poets. As a measure of their creativity, they were then shown 10 items and asked to generate as many different uses for these items as possible. Results similar to those found by the researchers are in the file LibrarianPoet. Is there convincing evidence of a stereotype effect here? That is, is there a significant difference in average creativity (as measured by finding multiple uses for objects) between the “rigid librarians” and “eccentric poets”? Put the data in the Multiple Means applet to answer the (a)–(f).