Calculate Correlation1. Open the workbook that contains your data in Excel 2007.2. Determine the cell addresses that contain the two ranges of data that you want to compare. For example, if your data is contained in the first 20 rows of columns 'A' and 'B,' then the two cell address ranges for your data are 'A1:A20' and 'B1:B20.' Click a cell that you want to use to calculate the Pearson correlation coefficient 'r.' Type '=PEARSON(A1:A20,B1:B20)' - without the quotes - in the cell. Substitute the addresses of your data ranges in place of these sample ranges.5.
Press 'Enter.' Excel calculates the Pearson correlation coefficient for your data range and displays it in the cell.Calculate P-Value6. Click a different cell that you want to use to calculate the p-value that is associated with your correlation.7. Copy and paste the following formula into the cell:=TDIST((pearsoncell.sqrt(N-2)/sqrt(1-(pearsoncell.pearsoncell))), N, 2)The cell returns an error message; don't worry, you'll fix the formula to work with your data array in the next steps.8. Click the formula bar to edit the formula that you just pasted. Type the address of the cell that contains your Pearson correlation formula in place of all three instances of 'pearsoncell' in the above example. For instance, if you calculated the Pearson correlation in cell 'A22,' then the formula looks like this:=TDIST((A22.sqrt(N-2)/sqrt(1-(A22.A22))), N, 2)9.
Calculate the p-value for a negative t-value My question is how can I calculate a p-value for a negative t-value? In several tests the t-test value is negative and I cannot use the standard. The chi-square value equals the sum of the squared standardized scores. To calculate the level of significance and the chi-square distribution function, you. The function returns the p-value, or probability, shown in cell D14, indicating that.
Type the number of observations that you have for each variable in place of each instance of 'N' in the formula. For instance, if you have 20 observations in each column, then the formula now looks like this:=TDIST((A22.sqrt(20-2)/sqrt(1-(A22.A22))), 20, 2)10. Press 'Enter.' The cell calculates and displays the p-value that is associated with your correlation.
The following is an excerpt from Miles and Banyard's (2007) ' on ':Inconveniently, this is not completely straightforward - Excel willnot give us the exact p-value for any value of r. However, it willgive the exact $p$-value for any value of $t$, and it’s not too hard toconvert $r$ to $t$. The formula you need is this one:And then you use the tdist function in Excel. So, we have a value of$r = 0.44$, and $N = 19$.
We can use Excel to turn the $r$ into $t$, so in theExcel sheet (at Cell A1, let’s say) we type:=(0.44. sqrt(19 – 2))/(sqrt(1-0.44^2))This gives a value of $t = 2.02$. We then use thetdist function to find the associated $p$. We need to tell Excel 3things. First, the value of $t$, second, the degrees of freedom, whichare equal to $N – 2 = 17$, and third, the number of tails – either 1 or2, and we always use 2 tails. If the value from the first calculationis stored in cell A1, we can write:=tdist(A1, 17, 2) Which gives a result of $p = 0.059$.Should you ever want to calculate a critical value for a Pearsoncorrelation, the process is reversed.
You first calculate the criticalvalue for $t$, and then you convert this into $r$. Let’s say we wanted toknow the critical value for a correlation for $p = 0.05$. We first findthe value of $t$ that gives a $p$ of $0.05$. We use the excel functiontinv.
We need to tell Excel two things, the probability that weare interested in, and the degrees of freedom. Into cell A1 We type:=tinv(0.05, 17) Excel tells us that the answer is $2.11$. We then needto turn that into a value of r. The formula is the reverse of the oneabove, which takes a bit of algebra, so we’ll tell you what it is:We type the formula into Excel =A1/(SQRT(A1. A1 + 19 - 2 )) And weget the answer that the critical value is 0.0456.References:.' Understanding and Using Statistics in Psychology: A Practical Introduction'.How to Calculate the P-Value & Its Correlation in Excel.