Three fertiliser types, A, B, C, each applied to seven plots of tomato plants, resulted in the following yield (kg/plot): A: 24 18 18 29 22 17 15 B: 46 39 37 50 44 45 30 C: 32 30 26 41 36 28 27 Use analysis of variance to test whether the fertilisers are the same or not at 1% significant level. Using the interval method, are fertilisers B and C, the same?
Three fertiliser types, A, B, C, each applied to seven plots of tomato plants, resulted in...
2. We are interested in examining the yield of tomato plants that have been grown with certain types of fertiliser. A study is conducted and the following data obtained Fertiliser 43 33 56 45 37 54 47 38 57 46 35 48 We fit the model where μ is the overall mean and T, is the effect of using the ith fertiliser. For this question, you may NOT use the 1n function in R (a) Find a conditional inverse for...
2. We are interested in examining the yield of tomato plants that have been grown with certain types of fertiliser. A study is conducted and the following data obtained Fertiliser 43 33 56 45 37 54 47 38 57 46 35 48 We fit the model where μ is the overall mean and T, is the effect of using the ith fertiliser. For this question, you may NOT use the 1n function in R (a) Find a conditional inverse for...
ANOVA 1. The data represent the number of pods of soybean plants for various plant types. An agricultural researcher wants to determine if the mean numbers of pods for each plot type are equal. Use significance level 0.05 Libert No till Chisel plowed34 32 34 31 30 36 31 37 24 23 41 40 32 34 39 37 27 37 42 34 38 39 30 35 27 ANOVA 1. The data represent the number of pods of soybean plants for...
These are my instructions: Your data should have been read in from the data file and stored into an array. Next you need to calculate the following and display in a single Message box: Average score Highest score Lowest score Mode of the scores Your program should be written using methods and should be well documented internally and externally. Your output should be displayed using Message boxes. This is the .text file to use with the instructions: 20 21 22...
1. An engineer is interested in the effects of cutting speed (A), tool geometry (B), and cutting angle (C) on the life (in hours) of a machine tool. Two levels of each factor are chosen, and three replicates of a 23 factorial design are run. The results are as follows: Treatment Replicate A B CCombinationI 22 31 32 43 35 34 55 47 44 45 40 37 60 50 54 39 41 25 29 50 46 38 36 ac bc...
Sample Data Sample Data Hour Sample Taken Hour Sample Taken 1 4 5 X 1 3 1 42 2 3 4 5 6 2 39 36 25 60 28 53 22 56 41 34 43 45 59 42 36 40 45 39 48 26 42 34 61 48 45 29 3 31 61 38 40 54 26 38 42 37 41 53 37 47 41 37 29 20 26 43 38 33 37 37 35 33 36 41 25 37...
2. An experiment about a person’s ability to perform some task before and after taking one of the two drugs was conducted. The subjects performed the task that involved mental addition. The subjects were randomly divided into two groups. Each group drank a beverage containing one of two drugs, labeled A, B (placebo). After a period of time for the drugs to take effect, each subject repeated the mental addition test. We want to relate the after test score to...
Solve parts b and d by using SPSS 6.5 An engineer is interested in the effects of cutting speed (A), tool geometry (B), and cutting angle (C) on the life (in hours) of a machine tool. Two levels of each factor are chosen, and three replicates of a 2 factorial design are run. The results are as follows: Replicate Treatment B C Combination 22 31 32 43 35 34 50 55 47 46 44 40 37 36 60 50 54...
For a population, the value of the standard deviation is 2.77. A random sample of 35 observations taken from this population produced the following data. 42 52 42 31 28 36 50 29 46 37 32 27 33 41 47 40 28 46 34 39 48 25 35 37 38 46 48 39 29 31 44 41 37 38 46 Round your answers to 2 decimal places. a. What is the point estimate of μ? _____ b. Make a 98%...
MtM204004 SP-2020 MEDGAR. EVERS C PILGRIM LEDGMR EVERS COLLEGE HOME WORKE Calculate the requested statistics for the given m Sample Data: 68, B4 93, 64, e data 70 (b) median (c) mode (d) range (e) sample variance: (1) sample standard deviation: (2) Give the score 2 decimal place for each test score with the given class mean and standard deviation Assume the test scores are normally distributed (a) For a 92 on a test with a class mean of 78...