How to test whether there was a significant difference in the awareness rate between people of different genders, ages, and educational levels?

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For example, the calculation method of the awareness rate: survey 100 people and each person answers 10 questions. The total awareness rate = the total number of questions correctly answered/(100 people *10 questions). How to test whether there is a difference in the awareness rate between different genders, age groups (3 age groups), and education levels (3 levels)?
Please enlighten me!
The awareness rate had been analyzed according to different factors, but how to test the difference in the awareness rate between different factors?

Answer 1

To test whether there is a significant difference in the awareness rate between people of different genders, ages, and educational levels, you can use t-tests or anova.

1 t-test

The t-test was a type of statistics that could be used to compare whether the mean values of two independent samples were significantly different. Assuming that the awareness rate has a significant difference between people of different genders, ages, and educational levels, a t-test can be used to test this hypothesis.

The specific steps were as follows:

(1)The data of two groups of samples were collected. One group was male and the other group was female or male. The awareness rate of the two groups of samples corresponded to different ages and educational levels.

(2)The mean and standard deviation of the two groups of samples were calculated.

(3)A t-test was performed using the t-test software to calculate the t-value and check if the t-value was significantly greater than 0. If the t-value was significantly greater than 0, the hypothesis that the awareness rate was different between people of different genders, ages, and educational levels was rejected.

2. Analysis of variation

The analysis of variation was also a method of statistics that could be used to compare the mean values of three or more groups of samples. Assuming that the awareness rate has a significant difference between people of different genders, ages, and educational levels, this hypothesis can be tested using an analysis of variation.

The specific steps were as follows:

(1)The data of three groups of samples were collected. One group was male and the other group was female or male. The awareness rate of the three groups of samples corresponded to different ages and educational levels.

(2)The mean and standard deviation of the three groups of samples were calculated.

(3)An analysis of variation was performed using the analysis of variation software to calculate the variation value and check if the variation value was significantly greater than zero. If the deviation value was significantly greater than zero, then the zero hypothesis was rejected, that is, the awareness rate had a significant difference between people of different genders, ages, and educational levels.