A histogram is a data representation format which makes use of bar graphs to describe the frequency of occurrence of the event being studied. It also represents necessary and relevant basic information about the data classes such as the data spread, shape and skewness.

Histograms serve as one of the best ways to represent data in a summarized form. Being fairly easy to construct than other forms of representative charts, histogram generated results are also slightly more interesting than the table-format display of the data. These types of charts are significant for assessing current situation and for devising ways to improve the same. Even after executing the improvement methods, histograms can be created to study the impact of the methods applied.

While making use of descriptive statistics such as mean, standard deviation, chi square, kurtosis and others, the histograms can be significantly interpreted to judge the normality of data distribution.

## brunoperryblog 12:48 pm

onAugust 30, 2016 Permalink |MNACOVA is not that complicated if you get a hang of it. As I am not a professional, I can’t explain it to you. But I found a similar kind of query in the following link. May be useful.

https://statworkz.com/2016/04/11/how-to-conduct-repeated-measures-mancova-in-spss/

## terrywellch 5:56 am

onSeptember 1, 2016 Permalink |Hey, you can also do repeated measures in the general linear model menu in SPSS. Now keep the variables constant for testing the effects in that model. You can probably get an SPSS guide for the same.