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27 June, 17:09

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.)

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  1. 27 June, 17:12
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    (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.
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