A manager of an inclusive sports programme in schools was concerned about the lack of girls being recruited on to the programme.  There were thirty places on the programme and fifty children had applied, of which only ten were girls.  Theoretically, all the children in the participating schools have an equal probability of being recruited as they all match the selection criteria, i.e. they are children at a participating school.  However, the manager has data that suggests that boys are more likely to join school based sports programmes than girls based on data from across the school sports programme nationally and from within her own programme historically.  However the manager has heavily promoted this initiative, specifically targeting girls and therefore wants to determine the

probability that still fewer girls than boys will join.   What formula could she use to determine this probability?

A. Bayes’ theorem.
B. NHST
C. Pearson’s r
D. Cronbach’s Alpha


Answer: A

Education

You might also like to view...

Education Abstracts is useful primarily for locating

a. books. b. dissertations. c. government documents. d. journal articles. e. tests.

Education

One of the advantages of using a rating scale as a recording method is:

A. It is easy to design and less time-consuming to use B. It must be used by trained observers C. It is difficult to eliminate observer bias D. It makes it difficult to measure traits such as empathy

Education

When conducting a job interview, antidiscrimination laws mean that in most cases you CANNOT ask questions about:

a. child-care plans b. medical problems c. criminal record d. all of the above

Education

Mr. O'Hara has developed a test of mechanical aptitude. At the beginning of a course in auto mechanics, he gives this test to his students. At the end of the year, he compares students' scores on the test with their actual achievement in his course. What is he probably trying to find out about his test?

A) Its reliability B) Its construct validity C) Its content validity D) Its predictive validity

Education