by Guest » Mon Jun 11, 2018 4:17 pm
Usually the p-value is looked up on a chart on either the T distribution (if n < 30) or the Z distribution if (n ≥ 30). This doesn't give an exact value. Instead an approximate p-value is obtained. This is because to calculate the p-value based on data, it requires a pretty complex calculus equation. Thus, usually in schools, teachers will just have you look up the value on a distribution chart. If you want to find the exact value, you can either do the calculus to solve for it or just use an online
https://www.docpid.com/calculators/p-value. All you must do is enter the test statistic, the sample size of the data, the hypothesis testing type, and the significance level value. I see all of those present in your chart above, though you would want to convert the commas to decimal points. I know those are in portuguese form. The sample size is equal to, n = df + 1. The calculator will then compute the accurate p-value.
Usually the p-value is looked up on a chart on either the T distribution (if n < 30) or the Z distribution if (n ≥ 30). This doesn't give an exact value. Instead an approximate p-value is obtained. This is because to calculate the p-value based on data, it requires a pretty complex calculus equation. Thus, usually in schools, teachers will just have you look up the value on a distribution chart. If you want to find the exact value, you can either do the calculus to solve for it or just use an online [url]https://www.docpid.com/calculators/p-value[/url]. All you must do is enter the test statistic, the sample size of the data, the hypothesis testing type, and the significance level value. I see all of those present in your chart above, though you would want to convert the commas to decimal points. I know those are in portuguese form. The sample size is equal to, n = df + 1. The calculator will then compute the accurate p-value.
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