Answer:Passage: Also, he gives the impression that it was only he who really climbed it on his own, and that he then practically pulled me, so that I “finally collapsed exhausted at the top, like a giant fish when it has just been hauled from the sea after a terrible struggle.” Since then I have heard plenty about that “fish,” and I admit I do not like it.
Step-by-step explanation:
Everest—the prestige of Everest AND Nor is it for Hillary
Answer:
82 phone calls
Step-by-step explanation:
If she had already spent 9 minutes, and she expects to spend 1 minute on each phone call; and she wants to spend 91 minutes on her phone;
91 - 9 = 82
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
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first you have to see what you need to multiply it by so you divide 24 by 8 which gets you 3. then you divide 45 by 3 and that gets you 15 so she has to rake the yard 15 times.
