The Real Statistics Resource Pack’s implementation of Box’s Test supports two types of data formats:

**Covariance Matrix Format**: The data range R1 consists of an *m* × 2 range where *m* = the number of samples (i.e. the number of covariance matrices). Each row in R1 consists of the cell in the upper left corner of one of the covariance matrices being compared in column 1 and the sample size corresponding to that covariance matrix in column 2. See Figure 1 and 2 for examples of data in Covariance Matrix Format.

**Standard Format **(without column headings): The data range R1 is an *m × n* range where the first column consists of the identification codes/names of the groups (i.e. independent variables) under consideration. These identification codes/names can be written in any order and repetitions are common (in fact, the sample size for each group is equal to the number of times that group identification is repeated). The remaining cells in R1 consist of data corresponding to the row identifiers. See Figure 1 of Manova Basic Concepts for an example of data in standard format.

**Real Statistics Functions**: The Real Statistics Resource Pack contains the following supplemental functions, where R1 is in standard formal if *k* = 0 (or is omitted) and R1 is in covariance matrix format if *k* > 0 where *k* = the number of dependent variables (i.e. all the covariance matrices are* k × k*).

**BOXTEST**(R1, *k*) = p-value **BOXM**(R1, *k*) = *M* statistic **BOXF**(R1, *k*) = *F* statistic**BOXdf1**(R1, *k*) = *df*_{1} **BOXdf2**(R1, *k*) = *df*_{2}

We also have the array function **BOX**(R1, *k*) which outputs a 5 × 1 range consisting of the enteries BOXM(R1, *k*), BOXdf1(R1, *k*), BOXdf2(R1, *k*), BOXF(R1, *k*) and BOXTEST(R1, *k*) in that order.

Additionally, BOXTEST takes an optional third parameter *b* which defaults to True (as described above). When *b* is False then the chi-square test is performed instead of the F test, i.e. BOXTEST(R1, *k*, False) = p-value for the chi-square test. For Example 1 this corresponds to cell N17 in Figure 1.

Finally, the Real Statistics Resource Pack contains the following supplemental array function

**COVPooled**(R1, *k*) = pooled covariance matrix

**Example 1**: Perform Box’s Test for the three covariance matrices shown in Figure 1 of Box’s Test Basic Concepts using the BOX function, based on three samples of size 7 each.

The key here is to create the appropriate input matrix R1 (range Y5:Z7 in Figure 1). Since there are three covariance matrices (one per each of the three samples), we need a 3 × 2 input matrix. The values in the second column will all be 7 since this is the size of all three samples.

**Figure 1 – Box’s Test using the BOX supplemental function**

To create the values in the first column simply click on the cell in the upper left corner of each of the covariance matrices, which for Example 1 of Box’s Test Basic Concepts are A5, A13 and G5 from Figure 1 of Box’s Test Basic Concepts. Note that the values of these cells are what you see in column Y of Figure 1.

We next highlight a 5 × 1 range (range AC4:AC8 of Figure 1), enter =BOX(Y5:Z7,5) and **Ctrl-Shft-Enter** to obtain the output shown in Figure 1.

**Example 2**: Perform Box’s Test for the two covariance matrices shown in Figure 4 of Hotelling’s T-square for Two Independent Samples using the supplemental functions.

This time the sizes of the two samples are not equal, but are 20 and 18. We create the input matrix (E5:F6). To create the values in the first column simply click on the cell in the upper left corner of each of the covariance matrices, which for Example 2 are A5 and A11 from Figure 4 of Hotelling’s T-square for Two Independent Samples. Note that the value of these cells are what you see in column E of Figure 2.

**Figure 2 – Box’s Test using supplemental functions**

In Figure 2 we see both the chi-square version of the Box Test as well as the F version. E.g. the p-value using the chi-square test (cell I7) is calculated by the formula =BOXTEST(E5:F6,F8,FALSE) and the p-value using the F test (cell L9) is calculated by the formula =BOXTEST(E5:F6,F8).

Note that the pooled covariance matrix (H12:J14) is calculated by the array function =COVPooled(E5:F6,F8).

**Example 3**: Perform Box’s Test for the data in Example 1 of Manova Basic Concepts using the BOX function.

Referring to Figure 1 of Manova Basic Concepts, we highlight the range J3:J7 in Figure 3, enter =BOX(A4:D35) and press Ctrl-Shft-Enter. of The result is shown in Figure 3. Note that the column headings (range A3:D3) are not included in the input range.

**Figure 3 – Box’s Test for MANOVA using the BOX supplement function**

**Real Statistics Data Analysis Tool**: As described in Real Statistics Manova Support, the **Box** option of the **MANOVA **data analysis tool will also perform the box test for data in standard form.

Sir

Boxtest function doesn’t work in RealStats_3.2.1

Colin

Colin,

I just tried using the BOXTEST function for Example 1 and 3 on the referenced webpage and it worked just fine. The answers iven are the same ones that appear on the webpage. I am using Release 3.2.1 on Excel 2010 in Windows 7. Which version of Excel and Windows are you now using?

Charles

Sir

I am using Office 2010 in Windows 7

Colin

Colin,

This is very strange since you are using the same configuration as me and the BOXTEST function works as before on my computer. I plan to issue a new minor release in a day or so. Let’s see if this problem goes away.

Does the BOX array function work properly? Are you able to use the Box’s test option on the MANOVA data analysis tool?

Charles

thx charles

how we can calculate it(box’s m )for equality of correlation I cant find it

?

how we can calculate it(box’s m )for equality of correlation I cant find it

How to calculate Box’s M using Real Statistics functions or the Real Statistics Manova data analysis tool is described on the referenced webpage. You need to download and install the Real Statistics Resource Pack to use these capabilities. How to calculate Box’s M manually or in normal Excel is described on the webpage http://www.real-statistics.com/multivariate-statistics/boxs-test-equality-covariance-matrices/boxs-test-basic-concepts/.

Charles

The functions BOXTEST, BOXM not work!!!. I try again and again and nothing. Can you review them, please?

Edu,

I just checked all the Box functions and they work fine on my computer. Do other functions from the Real Statistics Resource Pack work properly? If you send me the worksheet with the data that you are using and the formulas that don’t work properly, I will try to figure out what went wrong.

Charles