Date of publication: 2017-08-24 04:27
Once the statistics have been calculated, the next step is to organize the statistics into tables and figures so the reader can easily read and interpret the statistics. The key to making both tables and figures is to make them clear, both in appearance and in interpretation. When you have finished a table or figure, critically look over it. Will the reader be able to understand what everything in the table/figure means? A good practice is to ask a peer to review the table and give their comments about how it can be more clear.
I have used Minitab, but I don 8767 t currently have it and don 8767 t remember the defaults. However, in most statistical software, the only way to include an interaction in a linear regression procedure is to create an interaction variable.
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I need analyze factorial RBD for my experiment
No of factors: 5
No of replications
Factor 6: 7
Factor 7: 7
Factor 8: 7
Factor 9: 8
Factor 5: 8
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Use a model with a single categorical independent variable, employment category, with 8 categories: managerial, clerical, and custodial. The dependent variable is Previous Experience in months. (This data set is , and it is one of the data sets that comes free with SPSS).
Hi Karen, no, niether of those scenarios. The data is somewhat non-normal. Could that account for it or should they be the EXACT R Squared regardless? Thanks again!
Notice the numbers in this table. Under the Mean heading, all numbers have the same decimal places (two), but the decimal point is not lined up. It is not easy to see that JS7 has the highest number. Under the Standard Deviation header, the numbers are all rounded to different decimal places. All numbers in this column should have the same number of decimal places: two. Here is a corrected version of the table:
I also just have a quick question. When dummy coding the reference category stays at zero along with one of the categories. In this case there were two dummy variables and Managers were coded zero along with another category on each dummy variable.
6. Sorry, but I don 8767 t understand what 8775 reliability 8776 means in the context of the binomial distribution.
7. What test are you referring to in item 7. What do you mean by 8775 defect 8776 ?