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CLT up to 2/16
Stat 2215Q - CLT, z, t, p̂
Question | Answer |
---|---|
What are the two requirements for CLT? | -Random Sample -Same size |
How do you calculate z? | (x̄-μ(xbar))/σ(xbar) =(x̄-μ(xbar))/(σ/sqrt(n)) |
How do you find z if all you are given is alpha? | Subtract (alpha/2) from 0.5 and then search for that number in the chart and work outwards |
When do you use t score? | If you are not given the μ (population mean) |
In CLT what is μ and σ(xbar) equivalent to? | σ(xbar) = σ/sqrt(n) μ = μ(xbar) |
How do you find the confidence interval for z-score? | μ = x̅ (+-) z(α/2)σ(xbar) |
How do you find the degrees of freedom for t-score? | n-1 |
How do you find the confidence interval for t-score? | Same as z-score but use t instead of z and s inside the margin of error instead of σ |
How do you calculate s for the t-score? | sqrt((each number - x bar) over and over then / degrees of freedom) |
What assumption do you always have to write? | Assuming the prob dist'n of the (problem) is approximate normal and sample of (problem) is selected at random |
What are the two hypothesis? | Ho -> Null Hyp. Ha -> Alternative Hyp. (actual hyp.) |
What are the two type pf errors and when do they occur? | Reject Ho -> Type I (reject when true), prob of error is α Don't Reject Ho -> Type II (Don't reject when false), prob of error is β |
How do you calculate t? | (x̅ - μ(sub 0, claimed mu))/ margin of error |
What are two examples of test statistics? | z, t, and p̂ scores |
What does p-score mean? | The smallest probability of a type I error at which Ho can be rejected |
What does it mean if the p-value is larger or smaller that alpa? | -If larger than alpha then don't reject Ho -If smaller or equal then reject Ho |
How do you calculate p-value? | Take the test statistics and find the area (inside chart) then subtract by the region ( in z case 0.5) |
What is p̂? | It's basically just xbar |
What is the standard deviation of p̂? | sqrt(p(1-p)/n) |
What is the margin of error for p̂? | Same as the standard deviation just with p̂ instead of p's |
How do you calculate z using p̂? | (p̂ - p(sub 0, claimed value))sqrt(p(sub0)(1-psub)/n) |