Other Relative Analysis

(Cross-tabulation 1.1)

We want to know the different of male and female at "the quantity of the school canteen". Then we use Cross-tabulation analysis to do it.

Result：

14 males choose dissatisfied, 5 females choose dissatisfied.

16 males choose no suggestion, 21 females choose dissatisfied.

15 males choose satisfied, 17 females choose dissatisfied.

It proves the degree of dissatisfy towards male such as an oblique line.

Males are much dissatisfied than the females with the quantity of the school canteen.

(Cross-tabulation 2.1) & (Chi-Square Tests2.2)

Previously, we think that having an important relationship between "satisfy the price of school canteen" and "the monthly incomes". So we use Cross-tabulation analysis to do an observation and hope to prove it.

Result：

Having 5 answer choices about this question, "very satisfied" haven't anyone to choose. Form $0 to $4000, and $10001 to $15000 of monthly incomes, they choose "very dissatisfied" and "dissatisfied" generally. Although the monthly incomes are $15001 to $20000, he is satisfied with the price. But it only has one people to choose. We can not sure the result by this choice. In Chi-Square Tests2.2, Pearson Chi-Square value is 27.75, and p>0.05. Anyone of different monthly incomes, their opinions are consistent.

In short word, more people are dissatisfied with the price of the school canteen. Their choice of "satisfy the price" is not related to their monthly incomes.

(T-Test3.0)

We want to know the difference between male and female at "satisfy the nutrition". To understand both this gender that the degree of emphasis on nutrition, and difference. So we use independent samples test to get