Student's T Distribution - Confidence Intervals & Margin of Error

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[@maryamhagopian2754]

When you divide alpha in 2, isn't that a two tailed test? Why do you say that this is a one tailed test?

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No man, two tail test is basically for hypothesis testing when we assume that the man is not equal to any value i.e., it can be less, or more

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I calc numerous times. How did you get s=11.709?? I used your method and my number everytime was much larger than that

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Great explanation. How would I find the p-value?

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Hie. May you please explain further on how you Decide which one to use normal distribution or student t distribution .

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[@jnm5561]

Is it correct to say that regardless if the test to be employed is a 1-or 2-tailed test, the EBM will always employ alpha/2 in determining the value to be located on the t-table?

[@omoyeletemitope2110]

Pls solve this for me In a random sampling of 600 students selected in a school, It was observed that 420 have a fan in their hostels. Construct a confidence interval at 95% for the entire students that does not own a fan

[@I_am_harshit]

@8:00 you making confidence interval with 97.5% of confidence and not at 95%. if you are taking 1 one tail alpha, then confidence level is also 1 tail. And 1 tail alpha 0.025 correspond to 97.5% one tail confidence. Please correct me if i am wrong.

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Do you know if he was correct about this?

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Am greatful for the lesson Why do we use n-1 while finding the standard deviation???

[@pakarmyisizindabad6206]

I know you have passed your degree, but replying for those who will have the same question, when we are dealing with sample, we take 'n', and when dealing with population, we take (n-1), here the whole class is of 10 students, and we are dealing them, so this is population, if we take a sample of 4 students from whole class of 10, it'll be sample.

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[@volkanulker6432]

How can we decide to use whether alpha or alpha/2 ?

[@moniraheen7881]

How do I know when I'm supposed to use one tail alpha or 2 tail alpha?

[@daniabenojar9434]

I think 2 tailed is for when your alternate hypothesis uses "≠" and 1 tail is when your alternate hypothesis is specifically > or

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can you keep the t distribution table and by the way nice explaination

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[@willyoctavianus]

I have a question at 05:47. Is it alpha / 2? Or just alpha? If I'm not mistaken, it's alpha. Am I wrong?