Question: Why did the researcher not use a t-test comparing each of the four groups to each other? Question 20 options: It takes more computing time
Why did the researcher not use a t-test comparing each of the four groups to each other? Question 20 options: It takes more computing time to run multiple tests It is easier to examine specific groups differences using ANOVA The group sizes are not sufficiently large to perform a t-test Making multiple comparisons increases the risk of making a Type I error.
Analysis of Variance results: Responses: BMI Factors: RACE ETHNICITY Response statistics by factor RACE ETHNICITY * n Mean + Std. Dev. + Std. Error + Black 32 30.35 8.253 1.459 Hispanic 50 30.73 6.23 0.8811 Other 10 25.76 4.73 1.496 White 249 30.02 8.157 0.517 ANOVA table Source DF SS MS F-Stat P-value RACE ETHNICITY 3 210.1 70.05 1.139 0.3332 Error 337 2.072e4 61.48 Total 340 2.093e4Step by Step Solution
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