Design Reflections

I did the first collection of data on dandelions. I used a 30×35 quadrant and completed my data sampling with a stratified random sampling strategy. I generated random numbers and used them as steps from a particular point in my yard. Next time I collect data I will have a bigger amount of steps because I only generated up to ten steps in each direction but my yard was much bigger than ten steps. I will continue using stratified random but I will change how I randomly assign sampling spots so that it encompasses the entire yard.

2 thoughts to “Design Reflections”

  1. Hey,

    I just read about your data collection on dandelions, and it sounds like you had a solid plan in place. Using a 30×35 quadrant and employing a stratified random sampling strategy is a great way to ensure you get a representative sample. Your idea to increase the number of steps in each direction for your next data collection session makes a lot of sense, especially considering the size of your yard. It’s important to make sure your sampling covers the entire area of interest to get a comprehensive picture of the dandelion population. Continuing with the stratified random sampling method is a smart move, but I agree that refining how you randomly assign sampling spots could improve the effectiveness of your approach. Ensuring that your sampling spots encompass the entire yard will help eliminate any potential biases in your data. Overall, it sounds like you’re on the right track with your data collection strategy. Keep up the good work, and I look forward to hearing about your results!

    Best,
    Kiera

  2. I found it very interesting how you used a stratified random sampling method to look at dandelions in a 30×35 area. Making random numbers to figure out how many steps are from a certain spot in your yard is a smart way to make sure that the places where you take samples are not all the same. That’s smart of you to realize that you need to change the range of your random steps to fit your yard better. If you take data from the whole yard in the future, instead of just this small area, you should get a better idea of where the dandelions are growing. This change not only expands the area you’re studying, but it also makes your results more reliable by lowering the chance of sampling bias. You are taking a proactive and careful approach to your field research by being ready to change your sampling method as you learn more. Keep up the great work, and I can’t wait to hear about the results of your improved sampling approach!

Leave a Reply to ghazelg Cancel reply

Your email address will not be published. Required fields are marked *