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4d YcLC iunowiny 4ucbliuns What type of test was used? Is the model significant? Explain...

Question

4d YcLC iunowiny 4ucbliuns What type of test was used? Is the model significant? Explain

4d Yc LC iunowiny 4ucbliuns What type of test was used? Is the model significant? Explain



Answers

What test is used to test the significance of $R ?$

The chi square homogeneity test is used to compare the distributions of a variable between two or more populations.

For this Christian off focus is in the men with me uses. So we need to answer is two questions. Is number A the Parametric test procedure, which is comparable to the men? Whitney U Test is the difference. It's been through independent means. There is number eight. Was there France? Uh huh. It's thing. Two independent mints. Mhm be. Yeah, the characteristic off the data used in a Parametric test, which is not used in the man with me. You just because the size off the data is not used sighs off dance is nuts used? We only use it's right.

This is problem. Number 98 out of section 9.3 is asking us what ISS significance Testing. Good for what? What can we, uh, answer out of it? So we're looking at Why do a significance test? And they give me three things they want us to justify. So letter A is the sample experiment poor, properly designed? Run a success significance test that's getting a P value will not tell us whether the experiment is properly designed. So this then, no, we don't know. Whether is not all we're doing is running some numbers here to get a T stat or a Z stat and a P value, so we don't know whether the experiment was properly designed or not. Part B. The observed effect is by is the observed effect due to chance. That's exactly what a significance test is. Remember, we're looking at some sort of distribution, and this middle value is saying that there's no difference. That's why. No hypothesis. Will we get something over here and this is the probability of it occurring? That's the chance of it occurring. If my no hypothesis is true, that's what a significance test tells us. It gives us this P value right here that we compare off oven Alfa Value, then part C is the observed effect important? Well, it doesn't tell us whether observed effect is important or not. It only tells us whether I'm rejecting or failing to reject that knoll hypothesis or not, we need to go with a little bit more, uh, information to go back and study a little bit more to see if it's ah observed Effect is important for not so. That's a no on part CIA's well.

The long hypo thesis is that the relation month of a correlation coefficient is equal to zero. So is that the correlation coefficient equals zero, which means there is no suppression relations. Why the alternative high booties is state. Is that the opposite? Off the non high bookcases, which means there is a sufficient relationship. Thank you.


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