In: Statistics and Probability
Let's say that you are an athletic trainer, and you are interested in the impact of different types of exercise upon resting heart beats. You run a study comparing people who do yoga, pilates, and runners. You have collected the data and you are ready to analyze it via ANOVA. Using JASP, conduct your ANOVA. Then complete the fill-in-the-blank sentence below.
HBM | Sport |
59 | Yoga |
60 | Yoga |
60 | Yoga |
55 | Yoga |
61 | Yoga |
59 | Yoga |
58 | Yoga |
60 | Yoga |
60 | Running |
61 | Running |
66 | Running |
67 | Running |
64 | Running |
66 | Running |
68 | Running |
70 | Running |
61 | Pilates |
69 | Pilates |
67 | Pilates |
69 | Pilates |
63 | Pilates |
68 | Pilates |
66 | Pilates |
70 | Pilates |
An ANOVA was conducted to compare resting heart beats in people who do three different kinds of exercise. The data ________ statistically significant with an ________ effect size, F(2, 21) = ______________, p = _______________, η² = _____________________.
Post-hoc test suggests that the difference between the Running (M = ______________, SD = ___________, n = 8) and Pilates (M = __________, SD = ___________, n = 8) participants was not statistically significant and had a small effect size (p = _____________________, d = __________________).
Options to fill in the blanks:
was, was not, small, moderate, large, 0.601, 3.412, 66.63, 0.615, <.001, 0.601, 13.48, 0.418, 3.15915.82, 65.25
The data WAS NOT statistically significant with an moderate effect size, F(2, 21) = _15.82_, p = __0.99__,
η² = _____13.48________.
Post-hoc test suggests that the difference between the Running (M = ____65.25___, SD = __ 3.412,___, n = 8) and Pilates (M = __66.63___, SD = __3.159___, n = 8) participants was not statistically significant and had a small effect size (p = _____<.001________, d = __0.601____).