Thank you for this. Random sampling is part of my Research module in Social Auxiliary Work. It's sooo awesome to see the theory practically. Thank you again!
You have to pick each item by not looking it one by one. Like he said, put all items in a hat and pick one by one by closing your eyes. In Python you can do it by using simple_random_sample = df.sample(n=100) --> Here df has 1000 rows and you want to pick 100 out of it. This code will pick 100 different items from 1000 items.
Maybe weird question. Shouldn’t you actually put the picks back into the basket to randomly select the next paper? Bc by removing each pick the next pick is no longer as random as the previous bc there will be less names to choose from. If you select the same number again, simply put it back in and try again. Who agrees?
Hi! But isn't it gonna be the same? cuz if you put it back after it getting picked, those will still be no longer part of the papers that arent chosen yet. Because even though there are a lot of paper in there (in the box), the number of names not still chosen will still be the same number.
Thank you for this.
Random sampling is part of my Research module in Social Auxiliary Work.
It's sooo awesome to see the theory practically.
Thank you again!
Gah dude, what my teacher has to explain to us across multiple days, you do it in 6 minutes
omfg thank you, my ADHD just CAN'T understand when I my lecturer explains it but you guys, it suddenly makes sense ;A;
his voise is very soothing i could sleep to it
This was a great intro to random sampling. How do you quantify the appropriateness of n=30 when p=80?
Sal sir I can't thank you enough ☺️ God bless
Thank you so much ....
what are the types of simple random sample?
How do you pick 30 samples? My teacher said I can't "just select" any numbers to be my sample size. I wonder what's the formula for this?
You have to pick each item by not looking it one by one. Like he said, put all items in a hat and pick one by one by closing your eyes. In Python you can do it by using simple_random_sample = df.sample(n=100) --> Here df has 1000 rows and you want to pick 100 out of it. This code will pick 100 different items from 1000 items.
thanks for this video
big help. thanks
Good explanation.
Is there really anything such thing as true randomness?
Maybe weird question. Shouldn’t you actually put the picks back into the basket to randomly select the next paper? Bc by removing each pick the next pick is no longer as random as the previous bc there will be less names to choose from. If you select the same number again, simply put it back in and try again. Who agrees?
Hi! But isn't it gonna be the same? cuz if you put it back after it getting picked, those will still be no longer part of the papers that arent chosen yet. Because even though there are a lot of paper in there (in the box), the number of names not still chosen will still be the same number.
nice video
first
Genius
maybe it's just ur grade hahahhuhuhu
you can't feel names with a blind fold on? LOL
and yes, its pretty obvious he meant "cant see the names".
I think he meant that you obviously can't see, and it works because you can't feel words on a page.
Sammi Jo exactly
@@szaahhh yes most probably that's what he meant to say
I have 400000 points on Khan
King Of Pixels Nam Quoc Vo
1,700,000 :P
I'm not first
right foot creep
What’s f*cking made u! I couldn’t understand?