Question

The H₀ there are no difference in mean blood glucose levels between the four diets. The H₁ the alternative hypothesis suggested that there is a difference in mean blood glucose levels.

Tests of Between-subjects Effects
Dependent variable: Blood glucose level (mmol/litre)
Source	Type III sum of squares	df	Mean Square	F	Sig
Diet	16.186	3	5.395	12.339	.000
Error	9.620	22	0.437
Corrected total	25.807	25

a.R Squared=0.627 (Adjusted R squared=.576)

1-What this statistics outcome is suggesting?

2- Write the statistical statement about ANOVA

Answer 1

Here' the answer to the question. please write back in case you've doubts.

The answers are :

1. The statistics suggest that R-Square = 0.627, which is a moderately strong R-Square, indicating that the predictor variables we are using moderately explain the variance in the dependent variable. The predictive power of the current model is moderate. Also, since Sig. p-value is 0.000 ( i.e. less than .05) in the the test of Between-subjects effects, we can conclude that there is difference in mean blood glucose levels between the 4 diets

2. Statistical statement: The ANOVA' null hypothesis stands rejected as we have enough evidence to conclude that alteast one of diets has a different mean blood glucose level than the other, because the p-value is 0.000 i.e. less than .05