A study was designed as a randomized, controlled experiment to test the effectiveness of experimental online instruction compared to traditional in-person instruction (see Example 9.5 in BPS9e) in an introductory statistics course. Both were flipped classrooms where students studied the new content at home for a day. The next day, the experimental group was tested with 10 statistics exercises online and could access 10 video-recorded instructions/explanations from the instructor as needed. The control group took the same test the next day, but now the teacher who created the instructional videos was in the classroom and would offer help as needed. One hundred students volunteered for the study and their age was calculated from school records. The researcher was concerned that age could confound the experiment; therefore, they used block randomization to create two treatment groups that were presumably balanced on age. As students were recruited, the researcher assigned an intelligent ID number to each student, where older students got an "odd" number and younger students an "even" number.

Application Task

Your first task is to replicate the block randomization process with Jamovi software and run a crosstab analysis by clicking the "cell" option and selecting row percentages. Paste the crosstab into a Word document and answer the following four questions. (Report counts and percentages as whole numbers, no decimal places.)

When you are done, submit your output and a Word document answering the following questions.

1. What is the count and percentage of students in each treatment group?
2. What is the count and percentage of students in each age group?
3. What is the count and percentage of younger students in the control condition?
4. What is the count and percentage of older students in the control condition?
5. What is the count and percentage of younger students in the experimental condition?
6. What is the count and percentage of older students in the experimental condition?
7. Was the block randomization successful in balancing treatment groups by age?