el of annual income, there are 200 subjects in the test. These 200 people are split up into four groups 5. The result of this across all 600 people being tested is that the different levels of marital status are this the effect of marital status on happiness is also measured. e levels for income being tested. These levels are 'Low', 'Medium' and 'High' income. Similarly, there I status being tested, and they are 'Single', 'Married', 'Divorced' and 'Widowed'. -way ANOVA st, the levels of the two factors are considered in combination. So, for example, there are 50 test subjects earners and are divorced. The happiness levels of these 50 people are recorded. The same is done for all different levels, and the result is that the effect of the two factors can be measured and tested. This -way ANOVA test. That is, typically the different levels of the two factors are applied in all possible .STAT301.0010c [6 ave been asked by a men's clothing acturer, Nuke, to provide advice on her there is evidence of differences in verage heights of male citizens in Download the data different countries. You have taken m samples of the heights of males (in Download the data in .txt format: in those three countries and your data set MST.CP.AOV.STAT301.0010c.txt (3KB) ched in csv delimited format (as a .txt file) the link on the right. The data set can be visualized like this (sample only, your exact data values may be different): and perform the appropriate analysis to marked in bold). Follow SPSS instructions B C rect format. (You will need to create a new our decimals - with all the heights and a Country1 Country2 Country3 h values 1, 2 or 3 depending on whether 177.0035 176.899 73.7444 2 or 3. Both of those variables have to be 5.) 174.2989 170.715 176.0359 73 2635 174.3833 o the following questions, based on your 175. 3208 171.5132 178 702 6144 170.1127 t statistic to three decimal places: 503.081