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Suppose that you want to investigate the influence of light and fertilizer levels on plant performance. You plan to use five fertilizer and two light levels. For ea...

Question

Suppose that you want to investigate the influence of light and fertilizer levels on plant performance. You plan to use five fertilizer and two light levels. For each combination of fertilizer and light level, you want four replicates. What is the total number of replicates?

Suppose that you want to investigate the influence of light and fertilizer levels on plant performance. You plan to use five fertilizer and two light levels. For each combination of fertilizer and light level, you want four replicates. What is the total number of replicates?



Answers

You have decided to test the effects of five
garden fertilizers by applying some of each
to five separate rows of radishes. What is the
variable you are testing? What factors
should you control? How will you measure
the results?

For split. We need to calculate the percent by mass off nitrogen in the falling compounds for first in its tree. Atomic weight. Nitrogen 14 hydrogen three into one gives us total Molecular veda 17. So person dates can be calculated as number off Factum Mile. Deep light with the atomic weight divided by the molecular formula. Wait in 200 Doing that, we have the mask percentage off my Trojan in image three as 82.2%. Using the same method, we need to data mine for all off the compounds for second compound. The mass percent ace turns out to be 34.9 for third compound. It is 21. This is the second company. Here is the toad on DDE. For the third compound, it is 21.2. For the food compound, it is. Be right, it's in. It's too two. Then see Oh, sweet gives us to into 14 plus four in tow. One plus 12 lust. 16. So the total more legal form love it is 60.4 on the percentage nitrogen turns out to be to into 14 divided by 60 Foreign deal for into 100 were to give those 46 point six blessing. No. We have to rank the fertilizer in order off decreasing percentage. So the highest percentage goes to in its three. Then manage to go c o after. Would it goes Toe image four. There's no three further along. It goes to image. Four Do. It's so for.

Question 25 You're asking about a farmer and, um, he has to break up his farm and training fertilizer. So he has 24 plots, so he's going to randomly generate numbers that are assigned two plots randomly generate numbers 1 to 24 that are assigned to specific plots. You will fall 12 numbers to get the new treatment or the new fertilizer. Then, to see if it's successful at harvest time, he has to decide what is success. Is it a better quality or better quantity?

Question 28 were asked to again, uh, change the experiment in 25 this time considering what if the farmer wants to test the fertilizer on two different crops? All right, so this basically is gonna require two different experiments that he wanted to on two different crops. Because we want to find out with fertilizer, works on one crop of fertilizer, works on the other crops. And so since you're talking about maybe corn versus apples or something like that, then it's, uh it's hard to actually compare the second this of the fertilizer on the could compared to each other between the two types of crops. But you can't see whether or not it's effective in one crop and maybe not in another. So in order to do that, you take the 24 plots, you'd do a random selection, randomly select 12 of these plots to do, um to get, uh, for one type of crops. So we call this crop, and then, um, over here, you do it with the other 12 and they didn't get selected that before Crombie and then within these groups were then divide randomly select six to be get the fertilizer and you would pick the leave the other sex tie get everything except the fertilizer. Since it's a beer control right here and you repeat that same process over here crop be, and then you could compare what the results would be reached.

Let's up, stat cats. In this video, we're gonna be discussing how to design a completely randomised to factor experiment with an example we've been using before with the tomato plants. So the chapter also described incompletely randomize to factor experiment testing, often grove fertilizer in conjunction with two different routines for watering plants. Describe a strategy to randomly assign the 24 tomato plants to the six treatments. So we have two factors that we're gonna be using. And if you remember the experiment, it's gonna be using fertilizer. So we're manipulating the fertilizer. And what else are we manipulating? The watering. So for the fertilizer we're gonna have. So this is where I'm going to start doing just a little bit of visual organizing, So we have three levels for the fertilizer. We have a control, which is no fertilizer with half fertilizer, and we have full fertilizer. And then for the watering. It's either the plants going to get no water or it's gonna get watered. So these are our two factors. Fertilizer and watering. Those are two independent variables, and we have three fertilizer levels. Control half fertilizer in full fertilizer and to watering levels. No water and full water. So if we count these boxes here, that's gonna tell us how many treatments were going to get. So we are gonna have six treatments, so I'm just gonna go to the next page now so we can have a little bit more room toe visually organize again. So now we're actually gonna explain how we're gonna set up the two factor randomized experiment. So we have our an equals 24 tomato plants. Those are our experimental units. You're gonna want to take your plants, and you're gonna want to label them one through 24. And now we already know we're gonna have six treatments, so I'm just gonna draw those lines for them we're gonna have our control with. So let's go back to the previous page. So how we're gonna figure out our treatments is we're just gonna go down this way and go across this way. So our treatment number one is control? No water treatment. Number two is half fertilizer, No water. You know, let's not follow this order cause it's a little confusing, but basically, we're gonna have control of the water control. Full water, half fertilizer, no water half fertilizer, full water and full fertilizer. No water and full fertilizer and full water. So those are six treatments. There's a combinations of are two factors. So we're gonna have control with no water control with water, huh? With no water. Uh, Westwater full fertilizer with no water and full fertilizer with why? And how are we gonna allocate thes 24 plants into our six treatments? Well, like I said before, you're gonna want to label them 12 through 24. Then you're gonna want to put those numbers through, like, a random number generator. So I use are it's a statistical analysis program. Um, you can also use Excel, or you can just google like random number generator. So then, if we divide 24 vice six, that's going to give us four plants for each of our groups. So four plants per treatment. That's where the random ization is going to come in. And we have a combination of our two factors to make our six treatments, and then we're gonna gather that data, and we're gonna compare the impact that the treatments have on our response variable, which is juiciness and tasty nous all right. That is how we design a two factor completely randomised design with those 24 tomato plants. And yep, that's it, guys in


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