Using the High School Longitudinal Study 2009 dataset the research question is to test for any possible difference between students hours spent watching television and schools geographic region. The group statistics showed that the students from the Northeast region spend 3169 hours watching television or movies on typical school day while students from Midwest spend 5536 hours watching television or movies on a typical school day. The mean for the two variables are 2.39 for Northeast and 2.32 for Midwest. The standard deviation are 1.489 for Northeast and 1.458 for Midwest while the standard error mean are 0.26 for Northeast and 0.20 for Midwest.
The null hypothesis for this question is thatthere is no statistical significance between the two variables given the Levens Test for Equality of Variance that revealed a significance of 0.81 which is higher than the conventional 0.50 threshold. Therefore this null is rejected.
The research design that would align with this question is that in whichthepvalue is the probability that the samples are from thesamepopulationwith regard to the dependent variable(outcome). Usually the hypothesis we are testing is that the samples (groups) differ on the outcome. Thepvalue is directly related to thenull hypothesis. Thepvalue determines whether or not we reject the null hypothesis. We use it to estimate whether or not we think the null hypothesis is true. Thepvalue provides an estimate of how often we would get the obtained result by chance if in fact the null hypothesis were true.
In the comparison of the means m computations suggest that we can’tknowwhether the null hypothesis is true but the sample that provided a mean value of 0.70 provides much stronger evidence infavorof rejecting the null hypothesis.
The dependent variable used in this analysis was the number of hours spent in watching television which in measured numerically while the independent variable was he region of respondents which was either Northeast or Midwest.
The null hypothesis is essentially the devil’s advocate position. That is it assumes that whatever you are trying to prove did not happen (hint:it usually states that something equals zero). In this scenario analysed here it means there are no relationships between the geographic locations and the number of hours they spend watching television or movies during school days. The statistical analysis using the SPSS proved otherwise and so the null hypothesis was rejected. According to Frankfort-Nachmias and Leon-Guerrero (2015) a descriptive research design would be best for this type of study.
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Wagner W. E. (2016).Using IBM SPSS statistics for research methods and social science statistics(6th ed.). Thousand Oaks CA: Sage Publications.
Laureate Education (Producer). (2016f).Meaningfulness vs. statistical significance[Video file]. Baltimore MD: Author.
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