Helped me out big time! Was doing a past paper and this is the first time i have seen this type of question... and my exam is tomorrow morning! Many thanks, and wish me luck!
What if you are trying to find a probability that a simple random sample of 50 provides a sample mean of 7.5 to 9.5? Mu = 8.5 and SD = 2.2 how would you work this type of probability out?
Around 3:00 you say you can use the normal z-score formula if you want to calculate the probability of an individual. According to central limit theorem you cannot assume that the random sample of 1 is normally distributed so you cannot calculate the probability. OR am I wrong?
he says you use the standard z score for normal distribution. here is the sampling distribution for sample mean. if only 1 plumber, there is no sample. so the formula is bit different in which you just divide by sd. for sampling distribution (in this case 42 plumbers), you divide by sd/sqroot(n).
THANK YOU SO MUCH GREAT EXAMPLE. I WAS HAVING TROUBLE IDENTIFYING THE SAMPLE MEAN WHICH IS THE MEAN SALARY OF THE SAMPLE IS GREATER THAN X BAR (THE SIGNS ARE THE INEQUALITIES CONTEXT. ) ALSO GREAT TIP ON JUST PASTING THE QUESTION AND CHANGING IT TO A STATEMENT FOR INTERPRETATION
In a certain population, 83% of the people have Rh-positive blood type. Suppose a random sample of n= 10 people is to be chosen from the population and let P represent the Wilson-adjusted proportion of Rh-positive people in the sample. Find (a) Pr [P= 0.714] (b) Pr [P=0.786]
10 years later and you are still the greatest. Preciate it sir
the calculator part makesnosense my calculator shows lower, upper , etc options
Helped me out big time! Was doing a past paper and this is the first time i have seen this type of question... and my exam is tomorrow morning! Many thanks, and wish me luck!
5 years later how did it go?
I have an exam tomorrow morning too lol
8 year later update: Passed my exam. I have no idea what any of this means anymore! Now a professional dancer.
thank you so much i was having difficulty understanding central limit theorem but this was the exact example i needed!!
this was quite helpful, especially since my professor likes to assign word problems of the same subject/layout
Helped me alot to understand sampling thank you so much
can i get d last part of calculation using casio fx-991ES plus .?
i researched and watched this video to clarfy if my answer's right, im so glad that it is! it helps for my 'self-trust issues' LOL THANKYOU!
Was you suppose to subtract the area from 1
What if you are trying to find a probability that a simple random sample of 50 provides a sample mean of 7.5 to 9.5? Mu = 8.5 and SD = 2.2 how would you work this type of probability out?
You're a lifer saver!
i'm confused for when you would divide the 44,000 by 42?
Good stuff!! Very good!
Good video sir
you are the man!!!
Around 3:00 you say you can use the normal z-score formula if you want to calculate the probability of an individual. According to central limit theorem you cannot assume that the random sample of 1 is normally distributed so you cannot calculate the probability. OR am I wrong?
he says you use the standard z score for normal distribution. here is the sampling distribution for sample mean. if only 1 plumber, there is no sample. so the formula is bit different in which you just divide by sd. for sampling distribution (in this case 42 plumbers), you divide by sd/sqroot(n).
very helpful video
Where can I download that calculator?
Very nice and simple
THANK YOU SO MUCH GREAT EXAMPLE. I WAS HAVING TROUBLE IDENTIFYING THE SAMPLE MEAN WHICH IS THE MEAN SALARY OF THE SAMPLE IS GREATER THAN X BAR
(THE SIGNS ARE THE INEQUALITIES CONTEXT. ) ALSO GREAT TIP ON JUST PASTING THE QUESTION AND CHANGING IT TO A STATEMENT FOR INTERPRETATION
help. you find that for n=9 woman, the sample mean is x = 85 and the sample variance is s = 160,78. estimate the standard error of the sample mean.
Thank you.
In a certain population, 83% of the people have Rh-positive blood type. Suppose a random sample of n= 10 people is to be chosen from the population and let P represent the Wilson-adjusted proportion of Rh-positive people in the sample. Find
(a) Pr [P= 0.714]
(b) Pr [P=0.786]
a
OMG THANKUUUUU SO MUCH
don't you subtract .0009 by 1 which gives you the asnwer of 0.9991
(.0009 found from z score table)
nevermind 😂😂
The right answer is o.ooo9
Thanks
there's no 3.12 in my z-table
are you sure
because dont you set the upper z score to infinity
Jesus is coming soon. Accept him and repent from all your sins before it's too late.
You really had to make two videos of each 10 minutes for something that could be explained within 3 minutes? This is atrocious.