An experiment to investigate the effect of 4 diets on milk yield was conducted using a standardlatin square design as follows. There were 4 cows available for the experiment. For each ofthe 4 lactation periods the cows received a different diet. Below is an incomplete table of theANOVA of the milk yields.(a) Complete the ANOVA table below.ANOVA TableSourcedfSS MS FDiet40.6875Cow54.6875Lactation Period147.1875ErrorTotal247.4375(14)(b) Are the the diet effects on milk yield significantly different from zero? Use the 0.05 levelof significance.(6)

Given : n=4,c=4,k=1,α=0.05 i am using excel to complete ANOVA…

Answered: An experiment to investigate the effect…

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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In an experiment designed to test the output levels of three different treatments, the following results were obtained: SST = 380, SSTR = 200, nT = 20. Set up the ANOVA table and test for any significant difference between the mean output levels of the three treatments. Use a = 0.05. Do not round your immediate calculations. Please answer the questions in the image.
How are related samples different from independent samples?
A researcher is trying to determine if there is a significant relationship between number of hours spent cycling each week and resting heart rate among study participants. Which procedure should he use? Group of answer choices: Mean ANOVA One-way chi square Correlation
A sample of eight math SAT scores is given below: 600530560700630640580680600530560700630640580680 Find the first and third quartiles and the interquartile range for this sample. First Quartile = Third Quartile = Interquartile Range =
In a randomized block ANOVA, identify the statistic that is used as a measure of variationa. among the sample means for the treatments.b. among the sample means for the blocks.c. within the samples for the treatments with the variation due to blocks removed.
A manufacturing company wants to see if there is a significant difference in three types of plastic for a new product. They randomly sample prices for each of the three types of plastic and run an ANOVA. Use α = 0.05 to see if there is a statistically significant difference in the mean prices. Part of the computer output is shown below, fill in the missing information. Use alpha= 0.01. a. Compute the test statistic. Fill out the entire ANOVA table. Round answers to at least 4 decimal places. Sample Mean Sample Size High-Density Polythene 38.5673 11 Low-Density Polythene 38.0473 15 Polyethylene Terephthalate 35.8375 8 Source S.S. df M.S. F Treatment Incorrect Correct Incorrect Incorrect Error Incorrect Correct 6.69797 Total 245.471038 Correct b. What is the critical value? Incorrect c. What is the correct decision?
Please answer and show all work. Thank you!!!
A hypertensions trial is mounted and 12 participants are randomly assigned to receive either a new medication or a placebo. Each participant takes assigned medication and their systolic blood pressure (SBP) is recorded after 6 months on the assigned medication the data are shown in table 7-9 is there a difference in the mean SBP between treatment? Run the appropriate test at a =0.05
In a one way ANOVA the following table is obtained: ANOVA Source: Factor, df= 4, SS=48.0, MS= 12.0, F= 0 Source: Error, df=10, SS=30.0, MS= 3.0, Source: total, df=14, SS= 78.0 Test for equal factor means using x=.05.
Choose the appropriate statistical test. When computing, be sure to round each answer as indicated. A dentist wonders if depression affects ratings of tooth pain. In the general population, using a scale of 1-10 with higher values indicating more pain, the average pain rating for patients with toothaches is 6.8. A sample of 30 patients that show high levels of depression have an average pain rating of 7.1 (variance 0.8). What should the dentist determine? 1. Calculate the estimated standard error. (round to 3 decimals). [st.error] 2. What is thet-obtained? (round to 3 decimals). 3. What is the t-cv? (exact value) 4. What is your conclusion? Only type "Reject" or Retain"
what is the value in cell D? Round to 2 decimal places. How many total observations were there in the study? Hint: use df(total) to figure out the number of total observations. The following computer output is for an analysis of variance in which yields (bu/acre) of different varieties of oats were compared. Answer the following questions based on this ANOVA table. Source df SS MS F ratio Prob Between groups 2 76.90 38.45 D 0.63 Within groups 11 859.81 78.16 Total 13 936.17
Consider the following ANOVA table below. Some parts are blank intentionally. The number of observations is 249. Source Model (Regression) Residual (Error) Total The MSE is: SS 1,332 DF MS 921 Round your answer to two decimal places.

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