Solve this An experiment is conducted in RCBD with 7 treatments and 4 replications. While collecting harvest data 3 of the plots is lost. Make skeletal ANOVA showing only sources and its degree of freedom.
Thank you dear. Let me ask you one. There is no significant difference among the blocks here. So what this indicates? Rcbd is not appropriate for this analysis. So we change the design to crd or continue by rcbd? Thanks
Hi dear, if there is no significant difference, that means block variables may have similar effect on your dependent variable. You were able to rule out that variable. For example, if male was one block and female was another block, and there is no significant difference but that doesn’t mean you need to change the design. You may still need to find out if there is any difference.
@@WInspire Ok if there is no variation among the blocks this indicates the research design could be rcd. So I think when we analyze by any software like Rstudio or sas we change rcbd to crd and analyze again.
@@qubeetube7794 Analysis should be guided by how you designed the study, and it's not a good idea to change the design for the sake of analysis once you have already collected the data. I suggest going back to the very first design (let's say RCBD), have all the variables fixed and random, data type etc. and analyse it. Do not revert back to CRD just because block effect was insignificant, if block is not different, just report it as not being significant.
I am preparing for my masters thesis. However, I have no idea which stat method should I used. Could you please help me to find the exact model which is suitable for my study
@@WInspire Well, there are two poultry houses. One house gets energy from an electric heating system and another one from geothermal. We were evaluated weight gain, feed intake, FCR etc .The experimental period was 16 weeks
Looks like energy source is either treatment or block Have you had any other treatment like diet, what age of birds? What sex? I assume laying hens as you ran for 16 weeks? Can you give more details?
sorry it was a typo.it is a pig house.two treatment and each treatment has 10 experimental units.both exp.units consit with both sexes.period was 16 days.only thing tjhat we changed was heating source.all other conditions were same
Looks like your trt = heat sources (a or b), no of experimental unit = 20 (10 for a and 10 for b). it would have been better if you had male and female separated into 2 different pens so that you would be able to find out the different response between male and female (if any). In your case, it looks like a completely randomised design with 10 exp units allocated to a and 10 units allocated to b. I hope you allocated animal groups randomly to the pens within each house. Also, what were the dependent variables - there are many things we need to consider while analysing data. For example, were the source of animal same? were the group weight within certain SD? were they same breeds? That also affects your experimental design and analysis.
No, you can have any number of replication just take care of degree of freedom. Number of blocks should be equal to number of treatment and replication on Latin Square Design.
I think you can do chi square or logistic regression or non parametric test or generalised linear mixed model It really depends on how you have collected your data, need to look closely before making decisions
Learn about Randomised Complete Block Design in this video
Great Video. It's very useful for Graduate and those who are new to research.
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Solve this
An experiment is conducted in RCBD with 7 treatments and 4 replications. While collecting harvest data 3 of the plots is lost.
Make skeletal ANOVA showing only sources and its degree of freedom.
Please watch the video section where there is a mention of ANOVA, it is pretty much same anova
Very good information for the learners 🙂
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Well explained in simple terms.
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good presentation
Thank you 😊
excellent!
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Nice!
Thank you so much
Thank you dear. Let me ask you one. There is no significant difference among the blocks here. So what this indicates? Rcbd is not appropriate for this analysis. So we change the design to crd or continue by rcbd? Thanks
Hi dear, if there is no significant difference, that means block variables may have similar effect on your dependent variable. You were able to rule out that variable. For example, if male was one block and female was another block, and there is no significant difference but that doesn’t mean you need to change the design. You may still need to find out if there is any difference.
@@WInspire Ok if there is no variation among the blocks this indicates the research design could be rcd. So I think when we analyze by any software like Rstudio or sas we change rcbd to crd and analyze again.
@@qubeetube7794 Analysis should be guided by how you designed the study, and it's not a good idea to change the design for the sake of analysis once you have already collected the data. I suggest going back to the very first design (let's say RCBD), have all the variables fixed and random, data type etc. and analyse it. Do not revert back to CRD just because block effect was insignificant, if block is not different, just report it as not being significant.
Ok thank you dear.
It's so much thanks
Welcome 😊
How can we get different p value for different treatments so that we know which treatment makes a significant impact on a specific parameter?
Is it possibe to analyse the data using SAS if there is more than one type of seed? please answer me.. im so confused 😕
Yes you can analyse data with more than one type of seed as well
What is your experimental design?
Good video thank you
You are welcome 🤗
Good information and good picture of a person in title page 😂
Thank you so much 🙂
What does it mean by significant replication?
how do i sign in to SAS studio?
I am preparing for my masters thesis. However, I have no idea which stat method should I used. Could you please help me to find the exact model which is suitable for my study
Hi Dhanuska, I have to look into your research method to identify which analysis method is best,
@@WInspire Well, there are two poultry houses. One house gets energy from an electric heating system and another one from geothermal. We were evaluated weight gain, feed intake, FCR etc .The experimental period was 16 weeks
Looks like energy source is either treatment or block
Have you had any other treatment like diet, what age of birds? What sex? I assume laying hens as you ran for 16 weeks?
Can you give more details?
sorry it was a typo.it is a pig house.two treatment and each treatment has 10 experimental units.both exp.units consit with both sexes.period was 16 days.only thing tjhat we changed was heating source.all other conditions were same
Looks like your trt = heat sources (a or b), no of experimental unit = 20 (10 for a and 10 for b). it would have been better if you had male and female separated into 2 different pens so that you would be able to find out the different response between male and female (if any). In your case, it looks like a completely randomised design with 10 exp units allocated to a and 10 units allocated to b. I hope you allocated animal groups randomly to the pens within each house. Also, what were the dependent variables - there are many things we need to consider while analysing data. For example, were the source of animal same? were the group weight within certain SD? were they same breeds? That also affects your experimental design and analysis.
Are blocks the same as replicates? Lets say I have 4 blocks and I want to replicate, do I have to replicate another 4 blocks?
No, you can have any number of replication just take care of degree of freedom. Number of blocks should be equal to number of treatment and replication on Latin Square Design.
can you give raw data in description
can i apply RCBD if i only have 2 type of seeds with 3 types of treatments?
also if i use binary data (seeds survival), can i use ANOVA to analyse it?
Hello yes you can use RCBD
Depending on your design, seeds can be block as well
Or there could be other factors that can be used as block
I think you can do chi square or logistic regression or non parametric test or generalised linear mixed model
It really depends on how you have collected your data, need to look closely before making decisions