Question

While researching lifestyle changes to improve heart health, you come across a research article reporting that the average American consumes about 2,700 calories per day (μ = 2,700).
You come across another article that refutes this, stating that a sample of Americans consumed significantly less than this mean standard on average, t(50) = 2.965, p < 0.05 (η2 = 0.15).
Assuming this test was a one-independent sample t-test, answer the following questions.
(a) Is this a significant effect? Yes, the effect is significant. No, the effect is not significant.
(b) What is the proportion of variance for this effect? (Round your answer to two decimal places.)

Answer 1

Answer:

(a) Yes effect is significant.

(b) 0.15 or 15%

Step-by-step explanation:

• Most conventional significance level is 0.05 and a p value less 0.05 indicated that test hypothesis is false and should be rejected. Given in statement that 'p < 0.05'
• Eta-squared (η^{2})  is the measure of proportion of variance which 0.18 given in the statement.