
Click the Office button, and then click Options
(near the bottom)
◦ Click Add-ins (on the left, near the bottom), and then in
the Manage box (on the main panel, at the bottom),
select Excel Add-ins and click Go
◦ In the Add-Ins Available box, select the Analysis
ToolPak check box, and then click OK.
◦ If you are prompted that the Analysis ToolPak is not
currently installed on your computer, click Yes to install
it

When you load the Analysis ToolPak, the Data
Analysis command is added to the Data tab






Mac (Excel 2011 / 2008)
Excel 2011 / 2008 does not include the
Analysis ToolPak (but Excel 2004 does have
it)
Download and install for free StatPlus:mac LE
http://www.analystsoft.com/en/products/sta
tplusmacle
Open the Excel workbook that contains the
data that you want to analyze
Open StatPlus:mac LE, where the functions
are located in the StatPlus:mac LE menus

Average
◦ Is the average score for two groups/conditions
different?
◦ In excel type: = average(highlight column of
numbers)

Standard Deviation
◦ How much do the scores for each group/condition
vary?
-in excel type: = stdev(highlight column of numbers)






Under Data Analysis, select t-Test: TwoSample Assuming Equal Variances
Type in the cell range for Group 1 in Variable
1 and for Group 2 in Variable 2
Type in 0 (zero) for Hypothesized Mean
difference
(the null hypothesis of no difference)
Type in 0.05 for Alpha
Click ok
t(df) = t-value, p = p-value, two-tailed
 E.g., An independent samples t-test level was
conducted to test for a difference in the
average RT for the two age groups. The
young group (M = 129.63, SD = 8.07) had
significantly
Faster RTs compared to the old group (M =
150.25, SD = 11.04) [t(14) = 4.01, p = .001,
two-tailed].






Under Data Analysis, select t-Test: Paired
Two-Sample for Means
Type in the cell range for Measure 1 in
Variable 1 and for Measure 2 in Variable 2
Type in 0 for Hypothesized Mean Difference
Type in 0.05 for Alpha
Click OK


t(df) = (insert t-value), p = (insert p-value),
two-tailed
E.g., A paired-samples t-test level was
conducted to test for a difference in the
average RT for the sad and happy conditions
. The sad condition RT (M = 129.63, SD =
8.07) was significantly faster than the happy
condition RT (M = 150.25, SD = 11.04) [t(14)
= 4.01, p = .001, two-tailed].
Under Data Analysis, select ANOVA: Single
Factor
 Type in the cell range first cell of first
 column:last cell of last column in Input Range
 Select Columns in the Grouped By option
 Type in 0.05 for Alpha
 Click OK



F(df between groups, df within groups) =
xx.xx, p = .xx
E.g., A one-way between-groups ANOVA was
conducted to test for the effect of mood on
exam grade. The grades differed significantly
across the three mood groups [F(2, 15) =
9.55, p = .002]…





Enter each data set into a column in Excel
Under Data Analysis, select ANOVA: TwoFactor Without Replication
Type in the cell range first cell of first
column:last cell of last column in Input Range
Type in 0.05 for Alpha
Click OK


F(df columns, df error) = xx.xx, p = .xx
E.g., A one-way repeated measures ANOVA
was conducted to test for the effect of mood
on exam grade. The grades differed
significantly across the three mood
conditions [F(2, 15) = 9.55, p = .002]…

If and only if the ANOVA is significant, then
run t-tests on each pair of groups/conditions
◦ Follow instructions for between subjects or within
subjects t-test, depending on your design


Plot the group/condition averages
Add standard error bars
◦ =stdev(first cell of column:last cell of
column)/sqrt(count(first cell:last cell))
◦ E.g., =stdev(b2:b17)/sqrt(count(b2:b17))

Insert

Chart Tools Layout Analysis Error Bars
◦ Charts : Column
◦ Right-click on blank chart Select Data
◦ Chart Data Range: Select all the group means
◦ More Error Bars
◦ (Do NOT use default Excel error bars. See highlighted
text below for CUSTOM error bars.)
◦ Display Direction Both
◦ Error Amount Custom Specify Value
◦ Positive Error Value: Select all standard errors (SEM)
◦ Negative Error Value: Select all standard errors again
◦ Make sure to select in the same order as the means