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 determined using the null hypothesis's sampling distribution of the test statistic, the sample data, and the type of test being performed (lower-tailed test, upper-tailed test, or two-sided test). For a lower-tailed test, the p-value is defined as: p-value = P(TS ts | H 0 is true) = cdf(ts)
A z-score is calculated using the formula z = (x-μ)/σ, where x is the raw score, population mean, and population standard deviation. The z-score is just the raw score minus the population mean, divided by the population standard deviation, as shown in the formula.
The Z-Test is a statistical test that helps you determine whether the difference between two groups is statistically significant. It is used in many fields, including psychology, economics, and education.
As previously stated, the p-value can aid in determining support for or against a claim by quantifying the evidence when testing a hypothesis in statistics. The p-value will be calculated using the following Excel formula:=tdist(x,deg_freedom,tails)
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.
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
please provide course notes
Prakash Suresh Lokhande
Great. please provide pdf notes
MD Mishkat Ahsan
plzz provide pdf notes also
Mujhe ye link Sanjeev Sir k ek vedio se mili.. & i am very happy to watch this vedio..
& my all doughts are clear..