Finding test statistic in excel
[DOC File]The Single-Sample t test - University of Washington
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First, click in a cell near your computed t statistic and select “Function” from the Insert menu (below left). Next select “Statistical” from the Function category list and then select “TINV” from the Function name list (below right).
[DOC File]Standard Deviation of the Average
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Finding things from the normal dist: =normdist(value, mean, stdev, true) finds the . ... use this to find the p-value of a test-statistic. by entering the t-stat as the value. =tinv(probability, degs of freedom) finds the . value of t. ... The excel function to find the p-value is =tdist(tstat, degs of freedom,2).
[DOCX File]Dataset
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Please show your work for the calculation of the test statistic and explain your process for finding the p-value and critical value. You may use the Equation Editor to format your calculation steps on the Word document or attach an Excel spreadsheet clearly showing each calculation, but your answers still need to appear on the Word document.
[DOC File]Columbia University in the City of New York
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4. Calculate the Value of the Test Statistic; Invoke the Decision Rule in light of the Test Statistic Either reject the null hypothesis (if the test statistic falls into the rejection region) or do not reject the null hypothesis (if the test statistic does not fall into the rejection region. Temperature-reduction Drug Example, cont. Step 1.
[DOC File]Brian’s Quick and Easy Statistics Recipes
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Pearson’s test showed a positive correlation between the variables, r(58) = .63, p < .001 Brian’s Quick and Easy Stats version 3 (2/2009) Notes for Excel: Excel 2008 includes a function TTEST(array1, array2, tails, type) – this function only produces the probability measure associated with the test (not the t-statistic). Excel Tricks:
[DOC File]UPX Material
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You have been given a data set (Excel document) with two sets of interval data (just the numbers, as you must decide what they represent, such as method A results or method B results). This means you are going to test one thing against another, such as which method works best (step 1 of the steps to hypothesis testing).
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