I express my deep gratitude to you for this review. With my stats exam tomorrow, this is the only topic i have barely any confidence in (the rest are a breeze for me), and youve done a fantastic job at explaining it in detail. Thank you 🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏
Love your videos so much! Just one question, I'm confused on what the difference between randomized block design, stratified random sample, and cluster sample is.
@seventywon first your drawings are amazing! Second block design in an experiment and stratified sampling are essentially the same thing. We just use the word blocking in an experiment. They both involve first separating into homogeneous groups, meaning similar within. Then in sampling we tale a random sample out of each group which gives us great representation in our sample. In an experiment we create these similar group and then give all treatments in each group randomly. This ensures that in each treatment groups is a mix of subjects which creates roughly equivalent treatment groups. Here are a few more videos of mine that explain the difference in the techniques especially stratified versus cluster. Let me know if they help. th-cam.com/users/shortsojJz2ii7FA8?feature=share th-cam.com/users/shortsluSd53y1Ixw?feature=share th-cam.com/video/y-Y0bpuCawY/w-d-xo.html
@@mporinchak Wow thank you so much for the compliment! I'm surprised you took a look haha. And thank you so much for your help, the videos helped clarify my understanding.
btw I do have a question let's say a question asked abt the experimental units in the matched-pair design example, shall I say the experimental units are the 100 subjects or the 50 pairs or are they both right?
They should both be write, just identify them with as much clarity as possible. For example, the 50 pairs of twins that volunteered to be in the experiments that have moderate to severe acne.
@@mporinchak alr thanks! Another thing do u know where I could find full length AP stats tests since the college board has published only 2 full length tests
Below is a link to the past FRQs. They do not release the MC very often at all at least publicly. Teachers get a few more but are not allowed to share them outside of class. apcentral.collegeboard.org/courses/ap-statistics/exam/past-exam-questions
Technically a matched pair design is a form of a block. It is just very specific blocks of size 2. The idea if if you have many variables that are all too important and you want to block on them you can do a paired design. But if only one variable that you can't control then a standard block design is ok. Hope that makes sense.
I express my deep gratitude to you for this review. With my stats exam tomorrow, this is the only topic i have barely any confidence in (the rest are a breeze for me), and youve done a fantastic job at explaining it in detail. Thank you 🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏
Glad it was helpful! Good luck!!
Does the principal selecting 100 teachers from his district, without any clarification on whether that initial selection was random, introduce bias?
Love your videos so much! Just one question, I'm confused on what the difference between randomized block design, stratified random sample, and cluster sample is.
@seventywon first your drawings are amazing! Second block design in an experiment and stratified sampling are essentially the same thing. We just use the word blocking in an experiment. They both involve first separating into homogeneous groups, meaning similar within. Then in sampling we tale a random sample out of each group which gives us great representation in our sample. In an experiment we create these similar group and then give all treatments in each group randomly. This ensures that in each treatment groups is a mix of subjects which creates roughly equivalent treatment groups. Here are a few more videos of mine that explain the difference in the techniques especially stratified versus cluster. Let me know if they help.
th-cam.com/users/shortsojJz2ii7FA8?feature=share
th-cam.com/users/shortsluSd53y1Ixw?feature=share
th-cam.com/video/y-Y0bpuCawY/w-d-xo.html
@@mporinchak Wow thank you so much for the compliment! I'm surprised you took a look haha. And thank you so much for your help, the videos helped clarify my understanding.
btw I do have a question let's say a question asked abt the experimental units in the matched-pair design example, shall I say the experimental units are the 100 subjects or the 50 pairs or are they both right?
They should both be write, just identify them with as much clarity as possible. For example, the 50 pairs of twins that volunteered to be in the experiments that have moderate to severe acne.
@@mporinchak alr thanks! Another thing do u know where I could find full length AP stats tests since the college board has published only 2 full length tests
Below is a link to the past FRQs. They do not release the MC very often at all at least publicly. Teachers get a few more but are not allowed to share them outside of class. apcentral.collegeboard.org/courses/ap-statistics/exam/past-exam-questions
Nice video but why use matched pair over block or block over matched pair how do you know which is better
Technically a matched pair design is a form of a block. It is just very specific blocks of size 2. The idea if if you have many variables that are all too important and you want to block on them you can do a paired design. But if only one variable that you can't control then a standard block design is ok. Hope that makes sense.
@@mporinchak yes thanks alot