Hypotheses & Hypothesis tests
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- Опубліковано 6 жов 2024
- 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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Amazing Explanations !! Just love the clarity and Precision of explanations !!
Many many thanks for the nice feedback! Regards, Hannah
Your explaination is the best so far
I love the precision and illustrations
Thanks!
Such a nice explanation! Thank you SO MUCH!
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!!
Clear explanation.. Thanks a lot🙏🙏🙏
You are welcome!
Thank you. Amazing explanation
Love you for this exposure
Clear explanation, good!
Thanks!
thank you so much
Life saver!
Thanks for your nice feedback! : )
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?
well explained..
Why null hypothesis doesnt or cant say "yes there's diff between men vs women salary"
Null hypothesis is always formulated to assert there is no such correlation formulated by your hypothesis named alternative hypothesis
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.
SUper logiciel tres facle a utiliser !
Thanks!
Will u help me by answering my doubts
do you have z test in your software of statistics calculator
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!
hi