One Tailed and Two Tailed Tests, Critical Values, & Significance Level - Inferential Statistics

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[@elodiegradlife6904]

1:05 whenever alternative hypothesis doesn't equal some value, you're going to have a two-tailed test 1:34 the shaded area represent the rejection region, the area is not shaded is fail to reject region Z values separate reject and non-reject regions, which represent critical values 2:14 confidence level c = 1-alpha, alpha is the significance level, alpha is splited into two regions 2:50 to determine whether reject or not reject the null hypothesis, you need to calculate the z value and compare it to the critical value this other z value is called Zc the calculated Z value which is associated with the test statistics if that z value is greater than the critical value, then you should reject the null hypothesis 4:35 if the alternative hypothesis is stating less than some value, you need to use the left-tailed test for c=95%, alpha is going to be a completely 0.05

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Excellent explanation of the difference between these tailed tests. Thanks so much 🙏

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what if the z value is equal to the critical value do we accept or reject?

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but how do i find the critical value?

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Described in other video

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From the Z-table. We should find 0.95 from the table.

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Question: What if my Ha is not equal. But I still want to know if its less than or greater than? Do i conduct both one tail and two tailed tests? Btw, thank you. Great videos!

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correct me if i wrong, so the conclusion is, when we use any inferential statistic method like t test or wilcoxon signed rank test, we compare the statistical value with the distribution value, right? if we use the two tailed, the h0 is rejected if the statistical value on the critical region (right or left tail)?

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what if you are given a level of significance to be 0.03, how would you find the critical value please

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[@gemini1404]

Hello. Great video. However I'm confused about my hypothesis and whether it's directional or now. My hypothesis is that variable A predicts variable B. Does that make it one tailed? I'm not sure about how this works in predictive hypotheses so would be grateful if you could help out.

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[@Samlefe_]

What if the Ha is "greater or equal to" (or smaller or equal to)? Would it still be a one tailed test?

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wait so if the Z value is in the unshaded region we fail to reject the null hypothesis...aka that means that the mean of the potato chips *is* 100g?

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If you are given a 90 confidence level, and the situation requires a one tail test ( right tail ). Does the shaded area equal to .10 or .05 ? Help

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