Hypothesis Testing 🔥 Explained in 60 Seconds

👉 What is Hypothesis Testing?
Hypothesis Testing is a type of statistical analysis to put an assumptions about a population parameter to test
It is used to estimate the relationship between 2 statistical variables
Example: A teacher assumes that 60% of his college's students come from lower-middle-class families
👉 What does it do?
Hypothesis testing is a statistical method used to determine if there is enough evidence in a sample data to draw conclusions about a population
Assuming sample serves as a representation of an entire population
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[@Analyticsvidhya]

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[@HariKrishna-ck3ob]

Correction* we don't actually accept null hypothesis we say 'failed to reject null hypothesis'

[@sheetalmaurya4873]

Can you plz explain your this point more clearly .....I want right information please 🙏🏻

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[@rajarshibasak347]

Great👍

[@OpPhilo03]

If testing of Hypothesis not discovered till today then We can't find 5fit men in Delhi 😂😂😂😂

[@dakshbhardwaj7481]

At the start, we assume the null hypothesis (H0) is true. Then, we collect sample data from the population. If we reject the null hypothesis, we accept the alternative hypothesis (Ha/H1). If we fail to reject the null hypothesis, we say we failed to reject H0 due to insufficient evidence supporting Ha.

[@abhishekraut107.]

Ok

[@mj_cta]

also over simplified

[@krypton1142]

love g

[@Rajnarayan_Rathi]

U explained totally wrong

[@dakshbhardwaj7481]

@Rajnarayan_Rathi
He is right
At the start, we assume the null hypothesis (H0) is true. Then, we collect sample data from the population. If we reject the null hypothesis, we accept the alternative hypothesis (Ha/H1). If we fail to reject the null hypothesis, we say we failed to reject H0 due to insufficient evidence supporting Ha.