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)
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Sunita Singhal
5
please provide notes also in pdf
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Montu Mali
4
nice ☺️👍
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Abdul Samed
5
please provide course notes
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Shashi Kumar
5
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.
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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
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