When we reject the null and the null is true, we have a made a type I error
The null hypothesis in statistics states that there is no difference between groups or no relationship between variables. It is one of two mutually exclusive hypotheses about a population in a hypothesis test.
null hypothesis is denoted as H₀
Reject the null hypothesis when the p-value is less than or equal to your significance level. Your sample data favor the alternative hypothesis, which suggests that the effect exists in the population. When you can reject the null hypothesis, your results are statistically significant.
when the p-value is greater than your significance level, you fail to reject the null hypothesis.
Sometimes , we reject our null hypothesis even when its true
there we made a type I error in hypothesis
To know more about null hypothesis here
brainly.com/question/19263925
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If my math is right the it’s 21.13
Work:
(17+18+18+19+20+21+21+21+22+22+22+22+
23+25+26)/15
729 wish you well on your assignment ~JyMarkus
Tiles = greek philosopher who contributed to 5 theorems of elementry geometry
Elucid = regarded as the father of geometry
Hippocrates = a mathematician who compiled basic geometric facts, or elements, into a textbook
Pythagoras = greek geometrer who has a theorem named after him
