Gaben wants to investigate first if gender is associated with whether the student exhibits excessive hours in playing online games. In his research, a student is said to exhibit excessive gaming if he/she plays for more than 10 hours per week. The following results were obtained.
The assumptions of the Chi-square test of independence were __________. Based on the
p-value of _______, there is ___________ evidence to say that there is an association between whether the student exhibits excessive gaming or not and his/her gender. Moreover, the Cramer’s
V
value of _____________ indicates that there is a _________________ association between the two variables.
Extracted text: Online Gaming, either through mobile or PC, has become increasingly popular among Filipinos, particularly among the younger generation. Based on studies, the online gaming industry is expected to expand exponentially in the coming years. While gaming can be considered a hobby or even a competitive sport, there is still much dispute over its positive and negative effects on individuals and society, in general. Icon made by Freepik from www.flaticon.com Mr. Gaben, a high school teacher, recently read research articles discussing the possible effects of playing online games on numerous aspects of students' lives such as academic performance and health. He decided to conduct his own investigation by randomly selecting 55 Grade 10 students currently enrolled in their high school. He collected the data relevant to his investigation. The variables used in the study are described below. gender – whether the student is male or female gaming hours – number of hours per week spent by the student on online games excessive gaming – whether or not the student plays online games for more than 10 hours a week math – numeric grade in Math english – numeric grade in English BMI – Body Mass Index (in kg/m²)
Extracted text: 1. Mr. Gaben wants to investigate first if gender is associated with whether the student exhibits excessive hours in playing online games. In his research, a student is said to exhibit excessive gaming if he/she plays for more than 10 hours per week. The following results were obtained. R COMMANDER OUTPUT Expected counts: excessive gaming gender no yes female 14.72 12.27 male 15.27 12.72 Frequency table: excessive gaming gender no yes female 20 7 male 10 18 Pearson's Chi-squared test data: Gaming.data X-squared 8.1578, df = 1, p-value 0.004288