Hypotheses & Hypothesis tests

Hypothesis and Hypothesis Testing
Hypothesis testing is a subfield of inferential statistics. Always two hypotheses are formulated, which assert the opposite.
Null hypothesis H0:
The null hypothesis assumes that there is no difference in a characteristic between two or more groups.
Alternative hypothesis H1:
Alternative hypotheses, on the other hand, assume that there is a difference between two or more groups.
In addition, there are several types of hypotheses
Directional and non-directional (one-tailed and two-tailed)
difference and correlation hypotheses
Hypothesis are used when you want to draw conclusions about a population based on a sample. So always, if you want to prove or say something about the population with a sample.
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t-Test:
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Mann-Whitney U-test:
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Correlation:
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Regression:
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[@meghanachaudary502]

Amazing Explanations !! Just love the clarity and Precision of explanations !!

[@datatab]

Many many thanks for the nice feedback! Regards, Hannah

[@mohammedessam4969]

Your explaination is the best so far

[@user-dc7oj3el7o]

Such a nice explanation! Thank you SO MUCH!

[@JG-xm8jy]

I love the precision and illustrations

[@datatab]

Thanks!

[@user-yp1rg2jr5z]

In F test of regression coefficient we say null hypothesis that every coefficient is zero. But when we use F test formula there is no use of the term, "all coefficients are zero."
How does F test determine our null hypothesis true or not without using the concept of regression coefficients are zero in the test?
Like if we use Z test, we use the value of null hypothesis in that formula to justify our calculated value under the null hypothesis. But in F test we can,t see things like this!!

[@UtensilInsights]

Clear explanation.. Thanks a lot🙏🙏🙏

[@datatab]

You are welcome!

[@trejling]

Life saver!

[@datatab]

Thanks for your nice feedback! : )

[@hamzasbai6080]

Thank you. Amazing explanation

[@oluremiobawaludo1912]

Love you for this exposure

[@MrEconworld]

Clear explanation, good!

[@datatab]

Thanks!

[@arturomartinez7285]

thank you so much

[@gabrielrivetti3064]

The hypothesis testing and confidence intervals that we estimate from a sample and generalize to a population is an inductive process. However, the internal procedure of these statistical processes is deductive, as we make several assumptions and then deduce our conclusions, right?

[@alialshebami8408]

well explained..

[@hikikomorihachiman7491]

Why is the auto translation in hindi?
And could you explain the p value more? I am still confused about it.
Because in other tests, we don’t compare with alpha level, but with the critical value obtained from a table using that alpha level.
And people don’t tell how to compute p value at all.

[@aureliemere7813]

SUper logiciel tres facle a utiliser !

[@datatab]

Thanks!

[@petertran5419]

Why null hypothesis doesnt or cant say "yes there's diff between men vs women salary"

[@jessegonzalez7873]

Null hypothesis is always formulated to assert there is no such correlation formulated by your hypothesis named alternative hypothesis

[@priyasarda7415]

do you have z test in your software of statistics calculator

[@datatab]

No, because it is not actually used in statistic software solutions, it is always simply the t test that is used, which is more accurate!

[@mayankkumar9090]

Will u help me by answering my doubts

[@VISHWA-U17A]

hi