Find the likelihood that Z is bigger than your test statistic if your test statistic is affirmative (look up your test statistic on the Z-table, find its corresponding probability, and subtract it from one). The p-value is then calculated by multiplying this result by two.
The p value is proof that a null hypothesis is false. The smaller the p-value, the more evidence there is that the null hypothesis should be rejected. P values are expressed as decimals, but converting them to a percentage may make them easier to comprehend. A p value of 0.0254, for example, equals 2.54 percent.
Set the significance threshold to 0.01, 0.05, or 0.10 to ensure that the likelihood of committing a Type I error is low. When you compare the P-value to, you'll notice that it's a lot higher. Reject the null hypothesis in favour of the alternative hypothesis if the P-value is less than (or equal to). If the P-value is more than, the null hypothesis should not be rejected.
The p-value of a statistic reflects how unlikely it is. The z-score reflects how distant the data is from the mean. Depending on the sample size, there may be a difference between them. Even minor departures from the mean become uncommon in large samples. In other words, even though the z-score is low, the p-value may be very little.
great resource to learn data science in hindi. but in this particular video lecture there is a mistake....actually mutually exclusive event can never be independent event.
N
Nikhil Fapale
5
it really amazing to study....and easily understand difficult concepts...i hope you make more video on like power bi and nueral network model....its really helpful....thank you for these
S
Sanjeev Rana
5
please provide course notes
Prakash Suresh Lokhande
5
Great. please provide pdf notes
S
Sagar Desai
5
Good
A
ANUPAM TIWARI
5
nice course
M
MD Mishkat Ahsan
5
plzz provide pdf notes also
N
Neha Tiwari
5
Mujhe ye link Sanjeev Sir k ek vedio se mili.. & i am very happy to watch this vedio..
& my all doughts are clear..
Share a personalized message with your friends.