Yes, in a two-tailed test, the p-value is compared to 𝛼/2 . For a common significance level of 𝛼=0.05, you would compare the p-value to 0.025 in each tail of the distribution to determine if the result is statistically significant.
1 c 2 b 3 b cos the p-value is the probability of observing the data you have if the null hypothesis is true. Probability of rejecting H○ is significance value
Hey man, great video but I'm pretty sure your p-value needs to be multiplied by 2 in example #1 because its a two tailed test and you only calculated one half of the p-value.
Point probability refers to the probability of observing a specific, exact value in a continuous probability distribution. In continuous distributions, the probability of any single point is technically zero because the probability is spread over a range of values. Instead, probabilities are typically computed over intervals or ranges of values. Point probabilities are more relevant in discrete distributions, where the probability of each specific outcome can be non-zero.
A p-value of 0.05 is commonly used as a threshold for statistical significance, representing a 5% risk of incorrectly rejecting the null hypothesis. It's a conventional choice, balancing Type I and Type II errors, but it's not a strict rule and can vary based on the context or field of study.
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you explained this so easily! finally I got my answer after watching a lot of different videos! Thank you so much! Kudos to you!
Thanks you so much . Appreciated 😎
Okay, I already understood this after confusing for long time. Thank you
Glad to hear that
Wow, thanks a lot.. I understand everything in a single video.
Glad it helped!
In a two-tailed test shouldn't the p-value compare to alpha/2?
Yes, in a two-tailed test, the p-value is compared to 𝛼/2 . For a common significance level of 𝛼=0.05, you would compare the p-value to
0.025 in each tail of the distribution to determine if the result is statistically significant.
amazing video . Thank you
Thanks you so much Buddy 😊
I think example 1 is solved in the end based on one tailed test as against the two tailed
please watch the example again
1st ans option 'c'
2nd ans option 'b'
And 3rd will be 'true'
Correct
1 c
2 b
3 b cos the p-value is the probability of observing the data you have if the null hypothesis is true. Probability of rejecting H○ is significance value
Did Example 1 show Vendor is right. ??
Thank you so much, its very helpful
You are welcome!
1-b
2-b
3-b
Partially Correct Champ. Please try again 😊
Thank You So Much Sir for this great video👌👌👌
Thanks Siddhata
Hey man, great video but I'm pretty sure your p-value needs to be multiplied by 2 in example #1 because its a two tailed test and you only calculated one half of the p-value.
Good point!
i didnt understand ur doubt. It seems right. He is subtracting prob(z-score) which is all left portion of the dotted line from 1,
Very nicely and easily explained 💯........ Thankyu
Awesome, Thank you!❤
1. d
2. b
3. b
Partially Correct Champ. Please try again 😊
Most simplified video
Thanks
Thanks Arim 👍
Perfect! Thanks.
Thanks 😎
Thank you very much.
Welcome 😊
at 6:06 Q1 (c)
Q2 (b)
Q3 (b) false
Thank you so much sir 💗💗💗💗💗💗💗💗💗💗💗💗
Thanks a lot Numan
It's 0.02118 after z calculation not 2.12 wahtever your answer came check it plz
I got 2.12 too though? check yours first maybe?
how did you even get that number
It's because he has taken the wrong value of Z from the table it's coming out to be .3577
Thanks
Welcome 😎
Answers to the questions
1:C
2:B
3:A
Correct Setgak Vincent😎
P value is probability value
Easy to understand p value
Thanks Melo 👍
What is point probability ?
Point probability refers to the probability of observing a specific, exact value in a continuous probability distribution. In continuous distributions, the probability of any single point is technically zero because the probability is spread over a range of values. Instead, probabilities are typically computed over intervals or ranges of values. Point probabilities are more relevant in discrete distributions, where the probability of each specific outcome can be non-zero.
c/b/b
100 % correct Champ 😊
1.a,c
2.b
3.true
100 % correct Champ 😊
Thank you sir,
Thanks 😎
Nice
Question no 2 calculate it your answer is wrong
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C,b, a
Partially Correct Champ. Please try again 😊
❤
Thank you so much 😀
c,b,b
Why P value only 0.05%%% ???????
its a convention
A p-value of 0.05 is commonly used as a threshold for statistical significance, representing a 5% risk of incorrectly rejecting the null hypothesis. It's a conventional choice, balancing Type I and Type II errors, but it's not a strict rule and can vary based on the context or field of study.
Is it in English? OK, statistic is international, but if so - explain in muted
Thanks
😚 ᑭᖇOᗰOᔕᗰ
Thank you
worst explanation
No Issue Harshit..
c/b/a
Partially Correct Champ. Please try again 😊