Provide what is required for the following: (Show your solution)1. The data below are the shoot lengths (cm.) of Robusta coffee seedlings as affected bydifferent periods of storage. Find out if there are significant differences in the effects ofdifferent periods of storage on the shoot lengths. (Note: CRD experiment)Solve for the;a. F computedb. Coefficient of Variation (CV),c. Standard error of the treatment means (S,),d. standard error of difference between treatments (Sd)e. Make a DecisionTreatmentsReplicationsIIIIP110.19.29.5P29.59.38.5P38.79.27.5P46.76.25.0

In a Completely Randomized Design(CRD) experiment, all the experimental units are considered…

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Please answer f,g,and h using excel
A zoologist studying a certain species of rats investigatedthe relationship between the weights of adult rats (ingrams) and the lengths of their tails (in centimeters). Theregression analysis for his data is shown below.Response variable: weightVariable Coef Std Error t-ratio p-valueConstant -323.5 3.89 6.04 0.0001Length 72.1 0.24 8.79 0.0001s = 14.31 R@Sq = 75.4%By how much do weight estimates produced by thismodel typically differ from the actual weights of the rats?A) 0.24 g B) 3.89 g C) 14.31 gD) 323.5 g E) 24.6%
I need help, please
Below is my hypothesis: H0 - The frequency of fast food consumption has no effect on obesity.H1 - The frequency of fast food consumption has a negative effect on obesity.Here we need to compare people who order fast food very frequently with the ones who order less frequently The column fast-food frequency has values 0 to 99 Obesity is my target variable which shows 1 - if the person is obese, 0 - if not. Which statistical test can I use to work on my hypothesis? Please help! I have a submission.
Q3. Find out the regression coefficients of Y on X and of x on Y on the basis of following data: Ex = 50, X = 5, EY = 60, Y = 6, EXY = 350 Variance of X= 4, Variance of Y= 9
1. Analyze the data as a two way factorial design. Johnson and Leone (Statistics and Experimental Design in Engineering and the Physical Sciences, Wiley, 977) describe an experiment to investigate warping of copper plates. The two factors studied were the temperature and the copper content of the plates. The response variable was a measure of the amount of warping. The data were as follows: Temperature (°C) 50 75 100 125 40 17, 20 12,9 16, 12 21, 17 Copper Content (%) 60 80 16, 21 18, 13 18, 21 23, 2! 24, 22 17, 12 25, 23 23, 22 100 28, 27 27, 31 30, 23 29, 31
In the manufacture of synthetic fiber, the fiber is often "set" by subjecting it to high temperatures. The object is to improve the shrinkage properties of the fiber. In a test of 25 yarn specimens, the relationship between temperature in °C (x) and shrinkage in % (y) was squares was Ey; - 9 = 57.313, and the estimated error variance was s =" 0.0670. Compute the coefficient of determination ?.
Interpret effect size t(30)=1.12, p=.34, n2=.001 small, medium, or large
To compare the effectiveness of competing fertilizers on increasing radish size, researchers randomly divided 20 radish seeds of the same type into two groups of 10 and planted them. To one of the groups, they applied Fertilizer A, and to the other, they applied Fertilizer B. Then the researchers measured the radii of the radishes grown from the seeds in the two groups. The mean radius of the Fertilizer A group was 0.52 inches smaller than the mean radius of the Fertilizer B group. The researchers wanted to determine if this difference was due to the type of fertilizer or simply due to more seeds that produced smaller radishes being randomly assigned to the Fertilizer A group. To test if a difference of the means (A - B) of -0.52 inches or less could be due to chance, the researchers used a computer simulation to shuffle and randomly reassign the radishes to the two fertilizer groups. The difference between the two group means was then calculated and plotted on a dot plot. They…
A manager wishes to determine the relationship between the distance (in hundreds of miles) the manager's sales representatives travel per month and the amount of sales (in thousands of dollars) per month. Find the standard error of estimate, Se given that ý = 3.5x + 31.388889 %3D 15 8 Miles Travele1,r Sales, y 13 11 10 3 14 76 68 65 42 38 84 82 63 48 E= 81; y = 566 a² = 913; y² = 37886 2 xy = 5738 OS, = 2.025 S = 2.296 OS. = 1.895 Se = 1.735 S. = 2.446
Water is poured into a large, cone-shaped cistern. The volume of water, measured in cm, is reported at Which of the following would linearize the data for volume and time? different time intervals, measured in seconds. The scatterplot of volume versus time showed a curved Seconds, cm3 O In(Seconds), cm3 Seconds, In(cm') pattern. O In(Seconds), In(cm³)
Fill the chi square for Cross 1 and Cross 2 from the following data in the attached image: Cross 1: Phenotypes Ratio Observed Expected (O-E)2/E Totals X2 = Cross 2: Phenotypes Ratio Observed Expected (O-E)2/E Totals X2 =

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