How do I use t-distribution to estimate the tα/2

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To estimate tα/2 using the t-distribution, one must first understand the significance level α, which represents the probability that the result is due to chance. The discussion involves calculating the population mean and standard deviation, as well as deriving confidence intervals from samples of size three. It emphasizes the importance of using the t-distribution for small sample sizes to ensure accurate estimates. Additionally, the mention of verifying results with the empirical rule indicates a need to check the consistency of findings with established statistical principles. Understanding these concepts is crucial for effectively solving related statistical problems.
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Hi, I need help understanding how do I use t-distribution to estimate the tα/2 . Also what is meant when it asks "verify your result with empirical rule"
 
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Do you understand what α is?
 
no i dont, what is it?
 
It is the level of probability to be used for testing. The probability that the result is due to chance.

Do you know what a probability distribution is?
 
Basically I'm working on a problem that asks that part of the question. I have solved for the population mean, and have different samples with 3 data in them. I calculated the x-bar of those samples with the standard dev and have gotten their confidence intervals.
 
That's all very good; how does your original question about the t distribution relate to the rest?
 
here is the question:

- Find the population mean and its standard deviation
- List all possible samples of size 3 from those 5 units
- From each sample, compute the mean, standard deviation, and 95% confidence interval. Use t-distribution to estimate the tα/2 because we have a small size.
 
Questions like this belong in the Homework forum. Please post there next time. Hey, I don't make the rules around here.
 
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