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

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  • Опубліковано 2 жов 2024

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  • @elodiegradlife6904
    @elodiegradlife6904 10 місяців тому +3

    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

    • @TishaNimje
      @TishaNimje 8 місяців тому

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    • @thembihala9418
      @thembihala9418 Місяць тому

      I don't understand critical value.

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    @pietschoetschoepie494 2 місяці тому

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    @chevonnelewis6832 4 роки тому +1

    Thanks

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  • @mohamedhashim3038
    @mohamedhashim3038 4 роки тому +1

    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?

  • @cruiseyxchris
    @cruiseyxchris 5 років тому +5

    I have a quiz on Monday and am kind of confused on it

  • @idontknowledge-real
    @idontknowledge-real 2 роки тому +1

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

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    @bentorodrigues4397 5 років тому +3

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    • @aet8950
      @aet8950 3 роки тому

      i love chemistry that involves critical values too man! :D

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    @alishalbayev264 3 роки тому

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  • @Samlefe_
    @Samlefe_ Рік тому

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

  • @janemargaretmceachin6398
    @janemargaretmceachin6398 3 роки тому

    This might be a dumb question, but are Z values and P values the same thing? If not, how are they different? Thank you!

  • @snowwhite4367
    @snowwhite4367 2 роки тому +1

    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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  • @gemini1404
    @gemini1404 3 роки тому +2

    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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      @qysu9456 2 роки тому +1

      Have u figured it out?

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  • @esan120au
    @esan120au 3 роки тому

    Thanks, but I think you just talked about the one sample t-test, not the two samples.

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  • @kobbyarthur999
    @kobbyarthur999 2 місяці тому

    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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    @karlamichelle515 4 місяці тому

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  • @NauVy99
    @NauVy99 8 місяців тому

    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)?

  • @jessalyncaraang8674
    @jessalyncaraang8674 Рік тому

    I think in simpler explanation it would be
    *If it is less than or more than to- one tailed
    *If it is finding the relationship or differences then it is two-tailed
    ??

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    @justinneely9298 2 роки тому

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    @just_a_viewer5 Рік тому

    disliked because the one-tailed test wasn't explained properly. i still don't know the purpose of these tests and how to use them.

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