Question

How could you define operationally and measure the variables if Hypothesis: H0: p=0 (there is no linear relationship between playing video games and aggression). H1: p not equal to 0 (there is linear relationship between playing video games and aggression)?

Answer 1

Analysis of Variance also known as ANOVA is a statistical method used to find the significant difference between one or more than one variables. ANOVA is of two types; one way ANOVA and two way ANOVA. Analysis of variance is also known as f-test. It is used when one variable is manipulated in more than two ways. For example, an experimenter is trying to understand the different teaching styles on pupils. The teaching style is an independent variable which in this case is manipulated in more than two ways to see it's effects on students. A two way ANOVA is used when both the independent and dependent variables are manipulated in more than two ways.

A hypothesis is a tentative solution stated by an experimenter at the beginning of his research.

Taking the above example into consideration, the experimenter states that, there is no linear relationship between playing video games and aggression. This is known as as 'null hypothesis'. When ANOVA is performed to see if there is any significant difference, and if it turns out that there is no significance difference (>.5 or .1), the above hypothesis stands corrected.