1. Data from Luanda
By Charlotte and Keina

2. Collecting the data
In this project, we looked at the data we collected from a school called Luanda International School in Angola Africa. For this survey, a total of 35 students answered. From the questions in the survey, we had to choose at least 5 categories. We had to look for many different things such as how the lifestyle was, if we could tell how the person was living, and try and understand what how similar or different they were to us. (The difference of culture between our school). We were also required to use as many different diagrams to show the results. When we collected the numerical data, we had to make something called the frequency table, and find the mean, median, mode, and the range. We also had to look for any correlations (patterns) between the different data we looked at. We did this by collecting the data, putting it into program called Microsoft Excel and turned it into a scatter graph. This gave us the opportunity to observe the information and look for patterns. However, during this unit we had some difficulties because some people had entered information that was irrelevant to the survey. So those were some obstacles that we had to face. This is why our data is uneven in certain places. So therefore, when we looked at the correlations, we had to take out some information from the data to make the numbers even, so it would make sense.

3. Height Mean: 166.6 Median: 167 Mode: no mode Range: 28.3
First, we looked at the height of the students in Luanda International School. To find out mean, median, mode and the range, we first made something called the frequency table which make the data clear to see.
Height
Mean: 166.6
Median: 167
Mode: no mode
Range: 28.3
The total data we got for this data was 22. There were some answers that were not relevant for this data, so the numbers we calculated were less than the students who answered the survey. We learned how to use the frequency table to find out the mean, median, mode and the range. Because there were a lot of numbers, we group the numbers(for the height). Usually, when we find out the mean we add the numbers, and you divide it by the total number. But because we grouped the numbers up, we found the mid-intervals(the middle number between the grouped numbers) and multiplied that with the frequency of each group. After that, we we added fxh, and divided it by 22.

4. Height (Stem and Leaf Plot)
Here is a type of one diagram to show the data we collected. It is called the stem and leaf plot. How this diagram works is that on the side that says 'key' is the 10's place for the heights, and on the other side it is the one place. We decided to use this diagram because since the stem and leaf plot had all the numbers in order, it easy to look at the datas we collected and we thought that if we use this diagram, it we will be easier to find out the median.
From this diagram, you can clearly see that most of the people's height is between the 160's. Same as the shoe size, compared to the Japanese students, overall the heights are taller. So in conclusion, we found out that students who go to Luanda, are bigger, compared to Japanese kids that are the same age.

5. Shoe size (US sizing)
When looking at these pieces of raw data, it was quite challenging because we had to eliminate the answers which we thought weren't really suitable such as a foot length which is 5 cm. However, we found that the average shoe size was The median was 8.25 and the range was 6. When we made the scatter graph, some things that we noticed were that a majority of the points were located around the size and area. This shows that the average would have been between these four sizes.

6. Shoe Size (Bar Graph) For this data we chose to use the bar graph.
By this bargraph, we can easily see that most of the people had the shoe size between 7-7.5, and In Japanese size 7 is about 25 cm, and 8 is about 26 cm. We haven't actually found the average shoe size for our grade, but compared to japanese students that are the same age, people who go to Luanda, had bigger shoe size.

7. Favorite Foods
The next data we looked at was about favorite foods. We made a Pie chart for this to see what kind of food is the most popular for the students at Luanda. For this question, we were able to collect datafrom all students who answered this survey for us. But some people wrote multiple answers, so the total for this data was 37.
As you can see, Pasta was the most popular food for the students in Luanda. 10 people answered Pasta, 6 people answered Pizza, 3 people answered Burgers/McDonalds, 3 people answered Sweets, 2 people answered sea foods, 2 people answered Lasagna, 2 people answered "Everything that Tastes Good", and other people answered different variety of foods that they like. We first thought that they would more like their cultural food, but we realized that maybe because it is an International School, that lots of the students like more western food. So, we found out that the foods they eat were similar to us.

8. Religion
We also looked at different religions. We also used pie chart for this to see the difference between the most popular religion, and the least popular religion.
From this pie chart, we can obviously that half of the students who answered this survey is Christian (though there was one data missing, we got 34 answers for this question).
17 people answered that they were Christian, 10 people answered that they were Catholic, 3 people answered that they were Muslim, 2 people answered that they were Atheist, one person answered that they were HIndu, and one person answered 'Other'. I haven't heard what religion people are in my grade so we don't have things to compare with, but I got surprised by the amount of students who were Christian.

9. Time taken to go to School
The next data we looked at was how much time students take to go to school. For this question, we had 33 results.
The mean was 11.85, the median was 10, the mode was also 10, and the range was 58.

10. Time Taken to go to School
Histogram
From this Histogram, we can see that some people takes about 1 hour, but most of the people take about minutes to go to school. We can also see that some people takes less than 5 minutes to go to school. Because of the image of Africa, we thought that the houses might be a little far away from the school, but we found out that it was quite close.

11. Time Spend on Technology
The last data we looked at is how much time the students in Luanda spend on technology each day (in hours). For this question, 33 students answered. (the results that were answered by per week, we divided the number by 7.)
The mean was 5 hours, the median was also 5 hours, the mode was 2 hours and the range was which was hours.

12. Time Spend on Technology (Histogram)
From this Histogram, you can see that the most frequent time students uses technology are between 0-5 hours a day. We noticed that some people uses technology more than 10 hours a day, but most people uses less time on technology. We first thought that the students in LIS uses less technology than 5 hours because of the place they live, but we noticed that in Africa, technology is quite developed and lots of people uses it quite frequently. We can tell that their lifestyle is quite similar to us.

13. Correlations
To find any correlations in the data, we had to put two separate pieces of data into excel and we would put the data into a scatter graph so that we can see if any points are in a big clump or if the points are going up or down. The first correlation test that we did was shoe size and height. This is a screenshot of the results that we got from the scatter graph:
By looking at this scatter graph, you can tell that there isn't really any obvious correlation. The only thing that you can really see is that the average shoe size and the average height were around and Other than this information, it just seems like a big clump of dots.

14. Conclusion
In conclusion, Keina and I learned that by looking at the data, you can imagine what the person answering the survey's appearance by looking at the measurements and such. We can also tell what their lifestyle by judging how much time they spend on technology and what their favourite classes and their hobbies are. The first time we made this survey, we thought that their lifestyle would be a little different, but we actually found out that it was quite similar from the results we got from the time they spend on tech, or how much time they take to go to school. We hope that we can answer a survey of theirs in the future.