Nov 4, 2009 - 2.1 afternoon.tea à evening . ... 2.2 afternoon.tea à after.lunch . ... The variables afternoon.tea and evening do not depend on each other for the.
Contributions to the χ2 distance for each pair of variables evening breakfast evening no evening breakfast 0.84 0.44 no breakfast 0.77 0.40
P-values associated to the contributions of the pairs of categories to the χ2 distance
breakfast no breakfast
evening no evening 0.074 0.074 0.074 0.074
The variables breakfast and evening do not depend on each other for the threshold 5%. The category of the variable breakfast taken by an individual does not depend on the category he has taken for the variable evening .
Contributions to the χ2 distance for each pair of variables after.lunch breakfast after lunch no after lunch breakfast 0.71 0.12 no breakfast 0.66 0.11
P-values associated to the contributions of the pairs of categories to the χ2 distance
breakfast no breakfast
after lunch no after lunch 0.13 0.13 0.13 0.13
The variables breakfast and after.lunch do not depend on each other for the threshold 5%. The category of the variable breakfast taken by an individual does not depend on the category he has taken for the variable after.lunch .
Contributions to the χ2 distance for each pair of variables evening afternoon.tea evening no evening afternoon tea 0.27 0.14 no afternoon tea 0.35 0.18
P-values associated to the contributions of the pairs of categories to the χ2 distance
afternoon tea no afternoon tea
evening no evening 0.2 0.2 0.2 0.2
The variables afternoon.tea and evening do not depend on each other for the threshold 5%. The category of the variable afternoon.tea taken by an individual does not depend on the category he has taken for the variable evening .
Contributions to the χ2 distance for each pair of variables after.lunch afternoon.tea after lunch no after lunch afternoon tea 1.60 0.27 no afternoon tea 2.00 0.35
P-values associated to the contributions of the pairs of categories to the χ2 distance
afternoon tea no afternoon tea
after lunch no after lunch 0.029 0.029 0.029 0.029
The variables afternoon.tea and after.lunch depend on each other for the threshold 5%. The category of the variable afternoon.tea taken by an individual depends on the category he has taken for the variable after.lunch .
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data; second, to automate the writing of .pdf reports and of Beamer type ... We will develop an example throughout this paper using the \tea" dataset included in the ..... 160. 161. 162. 163. 164. 165. 166. 167. 168. 169. 170. 171. 172. 173. 174.
Description of the first axis: negative side ( 3 / 8 ). The following ..... Distribution of the individuals per cluster for the variable walk.2.to.5.km group 1 group 2.
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discover the manual that you might want with great ease andsimplicity ... with chi une memoire PDF, include : Choices The Secret To Making Wise Choices, ...
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Apr 18, 2015 - Large interactive spaces are also powerful tools to support creativity and can be used for brainstorming and combining ideas in the context of.
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Consume.chips.potatoes_No. Consume.chips.potatoes_Yes. Figure 2: Representation of the individuals using density curbs and enhanced representation of the.
3.2.3 Number of individuals by cluster for the variable buy.white.meat . . . . . . 16. 3.2.4 Number of individuals ..... V-Test: 6.71. â Frequency in the population: 3 %.
... the variable feel.like.cooking . . . . . 15. 3.2.3 Number of individuals by cluster for the variable interested.molecular.cooking ..... Contribution: 5.04. â V-Test: 7.38.
Contents. 1 Quick overview of the questionnaire. 3. 2 Multivariate exploration of the ... 3.2.3 Number of individuals by cluster for the variable walk.0.to.2.km . ...... 8. Choice of the number of clusters by cutting the dendrogram hclust (*, "ward")
3.2.2 Number of individuals by cluster for the variable location.of.purchase . . . 14. 3.2.3 Number of .... ( no sugar , sugar ). ⢠shape ( bulk , tea bag , tea bag+bulk ).