Descriptives 24 Likely to Recommend 95% Confidence Interval for Mean Mean Std. D
ID: 3369390 • Letter: D
Question
Descriptives 24 Likely to Recommend 95% Confidence Interval for Mean Mean Std. Deviation Std. Error Lower Bound Upper Bound Minimum Maximum No Children at Home 1-2 Children at Home More Than 2 Children at 190 107 108 3.13 4.28 4.45 1052 1.204 2.98 4.05 4.31 3.28 4.51 4.60 116 073 Total 3.79 3.67 3.90 ANOVA 24-Likely to Recommend Sum of df Mean Square F Between Groups Within Groups Total 156.985 423 326 580 311 78493 74.538 402 1053 404 Post Hoc Tests Multiple Comparisons Dependent Variable: X24 Likely to Recommend 95% Confidence Interval Difference ( 1154 1.327 .154 1) X33 -Number of Chiidren at Home No Children at Home )X33--Number of td Eror SiL Upper Bound Chidren at Home 1-2 Children at Home More Than 2 Children at Lower Bound 1.46 1.63 85 124 124 O00 1-2 Children at Home No Children at Home 124 1.46 More Than 2 Children at 173 140 465 17 More Than 2 Chldren at No Children at Home 1.02 1.63 1-2 Children at Home 173 140 465 The mean difference is significant at the 0.05 level. Homogeneous Subsets 24 Likely to Recommend Subset for alpha 0.05 33Number o Chidren at Home 1-2 Children at Home More Than 2 Children at 428 108 4.45 Means for groups in homogeneous subsets are displayed a. Uses Harmonic Mean Sample Size125.690 b. The group sices are unequal. The harmonic mean of the group sizes is used. Type I error levels are not Compare and contrast the means of three or more groups. Are households with more children more likely OR less likely to recommend their favorite Mexican restaurant than are households with fewer children? Explain fully your conclusion. Don't guess. Support your answer by providing the mean that was computedExplanation / Answer
Here dependent variable is likely to recommend.
We have to test the hypothesis that,
H0 : All population means are equal.
H1 : Atleast one of the population mean differ.
+Assume alpha = level of significance = 0.05
Test statistic follows F-distribution.
From the given output,
F = 74.538
P-value = 0.000
P-value < alpha
Reject H0 at 5% level of significance.
Conclusion : Atleast one of the population mean differ.
We get significant result therefore we use post hoc test to see which pair differs.
Using post hoc test we can test the hypothesis that,
H0 : mu1 = mu2 Vs H1 : mu1 not= mu2
Where mu1 and mu2 are two population means.
From the output we can say that more than 2 children at home and 1-2 children at home are insignificant variables because p-value for that is greator than alpha (0.05).
There is no significant difference between 2 children at home and 1-2 children at home.
And remaining are significant pairs.