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The discussion from yesterday was entertaining, educational, and astounding. Last year, we covered this topic in our basic statistics class. I can say that repeating this lesson propelled me to think about and comprehend the differences between probability and non-probability sampling. By reading a sampling distribution, I can tell what type of sampling procedure was utilized. Finally, I grasp the goal of sampling, which is to give various sorts of qualitative or quantitative statistical information.

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today i learned a lot about sampling distribution and how to differentiate each type from one another.

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Our today’s lesson is interesting and informative. I know that this topic is just a review since it’s already been discussed in our grade 8 lessons. However, this lesson is quite unclear to me before but in our today’s class, I feel that it is so easy and my questions about it are all answered. This random sampling lesson became clear to me and I hope that our next lessons will still be easy and exciting.

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Learning about Sampling was interesting and I had a lot of fun learning about it. In Probability Sampling, I was confused about the difference between cluster and stratified sampling but when I analyzed the question again and with the help of our teacher's explanation, I was able to distinguish one from the other. I am again looking forward to future meetings and learn a lot more. Thank you sir!

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The sampling and sampling distribution was our lesson for today. I would say that I enjoyed today’s lesson because it deals with probabilities which are all around us. The types of sampling includes probability sampling (non-biased sampling) where samples are equal or somewhat have a chance of being selected while non-probability sampling (biased sampling) consists of an unknown chance of selection due to personal judgement or being biassed over a member of the population. Moving on to the types of probability sampling namely the simple random sampling, systematic random sampling, stratified random sampling and cluster random sampling. Simple random sampling is a sampling technique that does not have a system when selecting random elements of the population while systematic random sampling is a sampling technique but goes through a system or process to select the list of elements of the population. Stratified random sampling and cluster random sampling are very alike since they both divide in groups but differ in selecting the quantity of representatives per group. Stratified random sampling is a random sampling technique where more than one group is selected as a representative of a population while cluster random sampling is a random sampling technique where only one group is selected as a representative of a population. Thank you for your simple and well explanations per topic

ପ(๑•ᴗ•๑)ଓ ♡.

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Today is another great day. Although this topic, sampling, and sampling distribution were already discussed back when we were in grade 8, I’ve got to learn more about it and understand it further after this discussion. Different explanations from my classmates also aided me greatly in differentiating the types of sampling as well as understanding the purpose of sampling. I had fun learning today po. Thank you po sr. I'm looking forward to our next meeting.

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Today I learned about Probability sampling and how to differentiate and determine it's various types in different kinds of situations. Although it was already discussed last school year, I didn't really understood it well and that is why I am glad that I was finally able to do so.

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For me, today's topic served as a review and a chance to deepen my understanding and practice what I've learned. I had fun, and I can say that my knowledge about this topic was enhanced.

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Yung lesson po ngayon was already discussed last year pero mas detailed po ang explanation today kaysa sa last year. Plus, the reason for having Sampling is already clear to me and was able to analyze  it's importance. Also, other certain information like the types of Probability Sampling were recalled. Cluster and Stratified Sampling were discussed about its differences and made it clear that they are not the same. This new knowledge will help me in conducting our research papers in the future. Lastly, the discussion was enjoyable so I had the urge to listen very well. Thank you phoezxzcs. <3

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Today's discussion was very fun! I learned more facts about what I have learned before and had a clearer understanding of the different types of probability sampling. I'm delighted that I understood the lesson very well! ty sir :DD

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I learned the different types of sampling distribution I was confused between cluster and stratified at first but with the help of explanations I was able to understand it. I am looking forward to our next discussion sir...Thank you!

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Today's lesson was very fun and interesting. I learned the different types of Probability Sampling such as Simple Random, Systematic Random, Stratified Random, and Cluster Random Samplings. I also learned the definition of each one and there examples that will help me to distinguish them easier.

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In today's class, I learned about sampling and sampling distribution. I learned about Random sampling was simple, systematic, stratified, and clustered, and the lesson was enjoyable.

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today i learned the differences about the types of probability sampling, as well as the difference between the two types of sampling. i'm looking forward to understand and learn more in the future!! thank you po sir!

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Today, we learned about all the different kinds of sampling techniques and how they are all different from each other.

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The lesson this morning gave me some insight into the various types of Probability Sampling. I was able to distinguish between these types of sampling, and the teacher's examples made it simple for me to comprehend them. I'm excited about our upcoming class. Thank you very much, Sir!

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The lesson today was fun! My understanding of the subject had improved. I learnt a lot more about the many types of Random Sampling, how to differentiate them, and how to apply them to different situations. The explanations, such as stratified and cluster random sampling, were difficult for me to grasp on my own, but with the help of the application, they became clearer.

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Today's session was particularly interesting because I learned about the various sample distributions and how to identify each one. This lecture provided me with additional information that I can apply in the future.

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I learned all about the different kinds of random samplings and enjoyed today's discussion. d^_^b

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Today, I learn about the different types of the sampling distribution, I was confused about the difference between stratified and clustered random sampling, but today's lesson was fun and I learn a lot.

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For me, the discussion clarified the definitions of sampling and sampling distribution. Types, probabilities, and non-probabilities were all introduced to us. Simple, systematic, stratified, and clustered random sampling

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I learned about the different types of random sampling and how to differentiate each of them. I was a bit confuse at first but the example the teacher gave us helped me understand it. I'm really looking forward to our next lesson . Thank u po sir!

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today, I learned a lot about sampling distribution.

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Today's lesson is just a review of what we learned last year. My understanding of Sampling Techniques and Types of Random Sampling has improved as a result of today's discussion. I am so happy that I understand the lesson very well. The discussion was very informative and entertaining and our teacher taught us in a chill and easy way. I am looking forward to applying all my learning to the next discussions.

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I have learned about simple random sampling, systematic random sampling, stratified random sampling and cluster random sampling. I was so happy because I understood the lesson today and I am looking forward to our next lesson. Thank you, sir!

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Today, I learned a lot about sampling distribution and how to differentiate each type from one another. Though I was a bit confused of the difference between Stratified and Cluster Random Sampling, I at least have more understanding of the two.

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Todays lesson was confusing since stratified and cluster random sampling are similar but I understood it at the end :D

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It was nice knowing the difference of the different ramdom sampling techniques

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We proceeded with our next lesson po for today’s discussion and it was superrrr fun. As what our teacher said, our topic today doesn’t include computations because it’s more on definitions and understanding po. Since we already discussed this last school year, I am still familiar with the terms used po, although I don’t remember them po in detail. I learned about sampling technique, the purpose of sampling, the differences of its types (Probability and Non-Probability Sampling), and I also understood the differences of the types of Probability Sampling which are Simple, Systematic, Stratified, and Cluster po. The use of relatable examples also made our lesson easy to understand. It can be confusing po sometimes, but later on it becomes clearer naman po. Thank you po for another great discussion sir! 💕

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Today was another fun discussion! My understanding of the subject was refreshed. I learnt a lot more about types of Random Sampling, how to differentiate them, and how to use them in different situations. With the explanations alone, such as with the stratified and cluster random sampling, it became quite confusing, but with the help of the application, it became much clearer to me. I was also happy that I understood the lesson very well!

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I enjoyed the lesson today in such a way this was discuss last year and I enjoyed it because this time it was discuss detailed. I find this lesson interesting in such a way of the discussion it clearly shows the comparison of each random sampling. I am looking forward to apply this lesson in other topics

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Again, this day is very exciting and interesting. I have learned about the different types of sampling distribution and its importance. In addition to that, I have also learned about simple random sampling, systematic random sampling, stratified random sampling, and cluster random sampling. Simple has equal chance to be selected. Systematic have intervals. Stratified and cluster are grouped. Even if it was a lesson last school year, I understand it more today. I am just a little bit confused between stratified and cluster but I am really happy for what I have learned. Thank you po sir!

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I enjoyed the lesson today as it was like a refresher of what we had learned last year; however, there were given formulas in getting the distributions right now. Additionally, the Random Samplings were given a broader and wider explanation than last year, which made it easier for me to understand. I am looking forward to applying them to problems for the following lessons we will have.

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Today is another day to learn. And for this particular day only, I learned many things already! Such as the different techniques of Sampling. This lesson is very interesting for me, because I know that in the near future we would use this knowledge for our research papers. The techniques are easy to differentiate from each other, except for the Cluster and Stratified which is somehow confusing. But I know that it would become much clear to me if I practice it, so I intend to do that! And, I thank you lawlz.

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The discussion helped me to further understand the definition of sampling and sampling distribution. I learned about the types, the probability and non-probablity. Simple, systematic, stratified and cluster random sampling. I had a hard time identifying whether the situation is cluster or stratified but I was able to understand everything at the end.  Overall, the discussion is entertaining and very informative.

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Today is another fantastic day filled with so much learning. I have learned a lot in our lesson regarding Simple, Systematic, Stratified and Cluster Random Sampling. Even though we already have tackled this lesson last year, I was confused about it. At first I thought that I was gonna have a hard time comprehending this lesson since I didn't understood it that well last year but now I'm impressed that I understood it very well with the help of the explanations and a lot of situational examples for each type of sampling distribution. And also since Sir explained it to us in detail. They might be hard to differentiate but if we'll analyze the problem closely, we can actually tell what the right answer is. Ayun lng po hehe thankss sir for making this discussion easy and fun at the same time. Gagawa na po aq ng quiz eme

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I learned the differences of Simple, Systematic, Stratifed and Cluster random sampling. Although cluster and stratified are quite hard to differentiate, but with the help of explanations and more examples. It is much more detailed and thorough ⭐

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Today is another great day. Before the lesson, I was nervous for we are supposed to take the first quiz, but when our teacher said the quiz will just be posted in google classroom, I became a little relieved ;) The discussion is fun and I participated a lot. I also recalled the lessons we learned from basic statistics last grade level ^^

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Nadiscuss na po to last year but this year po is more detailed po yung mga information about random sampling methods. I also understood the real purpose of sampling distribution and I am able to analyze some situations related to sampling distribution. Naregain ko ren po yung knowledge ko about random sampling distribution. Overall, the discussion was fun and enjoyable and mas naintindihan ko na po yung concept of sampling distribution now <33