I am making a video game!

Okay, that title may have been a little shocking. But yes, I am making a video game on the Rails framework, soon to be published on the web.

The video game is all about the molecular biology of the eukaryotic cell. It may seem lame at first,  but trust me, it will be anything but lame. It also happens to be a school project.

You see, I decided to do an Independent Directed Study (IDS for short) as a school project, and as a topic to study, I chose Molecular Biology. As well as a research component, there is also a project feature in IDS, where students illustrate their research with movies, iBooks, and games. I, being a programmer, decided to make a video game. I also got a textbook to study, entitled: ‘Microbiology Of The Cell’.

In the game, you play as a constantly evolving organism. This organism will face many problems, and it is up to you to command the cells to stop it. If I had to pick a genre for it, it would be a Role Playing Game(RPG for short).

On this blog, I will constantly post logs on how my game was improved, until the game finally launches onto the web(The logs will be part of the IDS category).  Right now, I already have a few of the models, and the home screen is starting to form.

Chi-Square Analysis: The Pokemon GO Survey.

My last math assignment was to conduct a survey on a certain topic and population sample. I chose the topic to be Pokemon GO, and the sample to be 2 of the classrooms at my school. After I collected the results, I had to present them to my teacher, along with high-level analysis on the results. For many questions, I had to check whether there was a correlation between 2 facts. For that, I discovered a mathematical way to do it: chi-square analysis.

Chi-square analysis is used to check if there is a correlation between the results of a survey. Here is the formula for it:

Let me show you an example directly from the survey I conducted.

One of the things I wanted to find out was how much players liked Pokemon GO, to their level in Pokemon GO. This is the table I used:

 0 10 20 30 40 Grand Total 5 2 1 3 6 1 2 3 7 1 1 2 8 1 1 9 2 2 1 1 6 10 1 1 2 4 Grand Total 1 7 8 1 2 19

Each row is the level range(10 is 10-19, 20 is 20-29), and each column is how much they like Pokemon GO.

You must now find the expected value for each cell of the table. To do so, simply multiply the column total with the row total, then dividing it by the grand total. Do this for each cell. Now that you have your expected values, do the formula for each cell, and since there is a sigma, add all of it up. Then, you should get your chi-square. What you need now is your P-value. I haven’t figured out how to calculate the P-value, so just enter your chi-square and degrees of freedom into a P-value calculator. You also need to know what the degrees of freedom are for the table. To find out, do this equation: (rowTotal – 1) * (columnTotal – 1).

I made a Google Slides presentation on the survey results. It is right below this text if you would like to see it.

For a handy chi-square calculator, click this link