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#Boxplot minitab 18 how to

My assumption when I look at this boxplot, Type1 or P1 has scored the highest among all and Type 5 or P5 is the lowest.

#Boxplot minitab 18 how to

I know the middle line is the median, but I am still can’t figure out how to describe this data.

However, I am struggling to write a description for this box plot.

Once I got the values in the column, I did a box plot as attached.

Then, I do the sum of rating as suggested.

: 1=4 mark, 2=3 mark, 3=2 mark, 4=1 mark by using Data> Code> Numeric to Numeric and change it accordingly:.

I have changed it based on the marking score

As the data is in the likert scale : 1-often,2-sometime,3-seldom, 4-never, so I think I should changed it based on numbers that reflect on the option chosen by the samples, which means if they choose 1 or 2, it will be more to positive one and 3 or 4 not so positive.

Here are the steps by step that I followed to analyze my data. I have done as suggested, but need to verify some dubious matters. There is only a 0.13% chance to find this difference or a greater difference if in fact both medians are equal, so the difference between P1 (sum) and P2 (sum) is significant. with a Mann-Whitney-test the median of two columns are compared and it is tested whether there is a significant difference between them (see attached file).įor P1 (sum) and P2 (sum) the p-value is 0.0013 and therefore smaller than 0.05 (alpha level).

They make assumptions about the characteristics in the data, but do not require a specific distribution. More robust tests with less requirements are nonparametric tests like the Mann-Whitney or Mood-Median-test. The requirements for a t-test are violated. Accordingly the p-value is smaller than 0.005. To decide which test is appropriate for the comparison between P1 and P2, take a look at the distribution of the numbersīoth graphs show only a handful of different values for P1 (sum) and P2 (sum), so you have not enough evidence to assume that these figures come from a normal distribution. One way to compare the figures could be a 2-sample t-Test, but therefore the data has to follow a normal distribution. They are similar with P2 (sum) being a little bit above P1 (sum), see attached file. To get 'P2 (sum)' use the entries in C9 and C10.įirst take a look at the data, for example with boxplots: To get these row-wise sum for P1 (C7+C8) out of Minitab:

the sum of the ratings, the mean or the median. You can use several different metrics to gather your data for P1, e. I got a little bit lost when trying to figure out which column contains what informations from your first posting, so hopefully my answer is nevertheless helpful. How do I make a comparison between P1 in group 1 and P1 in group 2 to find significant differences between G1 and G2 for each item P1 - P6? I need to compare between these items so that I can make a conclusion that group 1 are more concentrate on the activity of P1 rather than P2.Ģ. How do I accumulate/measure the responses or rate in the subitems in each item to find which item has scored the highest in certain group? I have accumulated 50 samples for each group n1=50 and n2=50ġ. There are multiple numbers of subitems in each items, which is in the likert scale of 4 rating, 1-often,2-sometime,3-seldom, 4-never First of all, I am appreciating in advance for those who read this and would like to provide an immediate assistance for my stats issue here.Įach of the group has 6 items to be compared- P1, P2,P3,P4,P5 and P6