Observing differences between between-treatments variance and within-treatments
ID: 3289842 • Letter: O
Question
Observing differences between between-treatments variance and within-treatments variance Dr. Nicholas Guegen uses observational methods to study how certain kinds of environmental influence human behavior. In one study, he manipulated the volume of music played in bars to see how it would impact patrons' drinking behaviours. Trained observers recorded the number of drinks ordered by several patrons in two establishments. The sound level was manipulated in both establishments, and all observations occurred over three Saturday nights. Dr Guegen used two sound levels in his study: a normal sound level of 72 dB, which is similar to traffic noise on a busy street, and a louder high-volume level of 88 dB, which is similar to noise from a lawn mower. You decide to replicate this study. The null hypothesis is that there is no difference between the mean number of drinks ordered among patrons experiencing the high-volume noise level of 88 dB and the mean number of drinks ordered among those experiencing the normal noise level of 72 dB. The alternative hypothesis is that there is a difference between the mean number of drinks ordered among patrons experiencing the louder noise level of 88 dB and the mean number of drinks ordered among those experiencing the normal noise level of 72 dB. Below are the graphs of two possible data sets. The horizontal axes display the number of drinks ordered, while the vertical axes display the number of observed patrons who ordered that many drinks. Use these graphs to answer the questions that follow. Which data set appears to have more variability between treatments than within treatments? Data Set A Data Set B The data that you collect suggest that the between-treatments variance is large, relative to the within-treatments variance, so the F-ratio for you study is likely to be, _______, suggesting that _______Explanation / Answer
Data set A appears to have more variability between treatments than within treatments that his MS within groups is smaller than his MS between groups
F ratio is to test hypotheses about the effect of an independent variable on a dependent variable.The data that you collect suggest that the between treatments variance is large, relative to the within treatment variance, so the F-ratio for your study is likely to be suggesting that effect of between treatments is equal to within treatment or not.
Related Questions
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.