Here we are interested in finding whether or not shelf height has an affect on the sugar content of the cereal. First calculate all of the treatment means and themain effects on a separate sheet of paper.Question 1. Find SSA, the sum of the squares of the between-group variation (variation of factor A), and SSE, the sum of the squares of the within-groupvariation (variation of the noise).SSA (use 4 decimal places)SSE (use 4 decimal places)Question 2. Find MSA, the mean square of the between-group variation, and MSE, the mean square of the within-group variation.MSA (use 4 decimal places)MSE (use 4 decimal places)Question 5. What is the value of the F test statistic?(use 2 decimal places)Question 7. This F statistics gives a p-value between of less than .01. What is the appropriate conclusion?Conclude that the mean sugar content of cereal is significantly different for different shelf locations.Conclude that there is no significant difference in the mean sugar content of cereals placed on different shelf locations. NSafari File Edit ViewMy Dri...111111222222333333VU<11C Clems...31 Clems...M Inbox (...D Two-F...W review -...b Answe...Parents with young children are convinced that supermarkets place high-sugar cereals on shelves that are at eye-level with children. This strategy supposedlyincreases the likelihood that mom or dad will be forced to silence a whining child by placing the cereal box with the pirate or bunny rabbit on the front in the grocerycart.The data shown below indicate a cereal's shelf location with values 1, 2, or 3 where 1 is the lowest shelf; shelf 2 is the shelf level most likely to be at a child's eyelevel; and shelf 3 is the highest. Here we are interested in doing an ANOVA with only 1 factor (shelf height) that has 3 levels. Below you find the unstacked datawhich includes the sugar content and self height.Shelf LocationCerealSugar ContentCheerios.03.07.13.44History Bookmarks Window Help۱۱ وار او اداره گاCorn FlakesWheatiesCap'n CrunchFrosted Flakes.39Special KCocoa PuffsLucky Charms.43Fruit LoopsApple JacksCorn PopsTrixHarmonySmart StartBran FlakesRice KrispiesKashiFiber One.13.47.47.48.45.43.24.30.17.09.21.11Best A...DEC9Harvey...webassign.net2tvreviewNA@X↓Messa...zoomFri Dec 9 2:16 PMXLSXBreak...ៗ40and Gree...aphic.FXLSX______T3 (Autoed).xlsxot8 PMata_Coioneenshot2...6.54

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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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The final 2 parts of 5he question is (e) Find the value of the coefficient of determination r2. What percentage of the variation in y can be explained by the corresponding variation in x and the least-squares line? What percentage is unexplained? (Round your answer for r2 to three decimal places. Round your answers for the percentages to one decimal place.) r2 = explained % unexplained % (f) For a neighborhood with x = 30 hundred jobs, how many are predicted to be entry level jobs? (Round your answer to two decimal places.) hundred jobs
lecture(12.11): Researchers were interested in the effects of co-sleeping on nightime waking and crying in infants. .They assesed the number of minutes parents reported that their infants were awake and crying for a period of three days. Five of the infants co-slept with thier mothers(Co) and four infants slept in crib(Cr).The researchers wanted to see if there was a difference in the total number of minutes of crying during the 3 nights. for the two groups. A summary of the data is given below Co-sleepers night time crying in minutes: 8, 4, 7, 7, 6 Crib-sleepers night time crying in minutes: 30, 17, 22, 25 Test the hypotheses at (aplha=.05) level of signifcance. using the 5 step hypotheses testing procedure. Clealy state the null and alternative hypotheses. Round your answer to 2 decimal places.
Can I have step by steo instructions to do this in excel? Thank you
Shelia’s doctor is concerned that she may suffer from gestational diabetes (high blood glucose levels during pregnancy). There is variation both in the actual glucose level and in the blood test that measures the level. A patient is classified as having gestational diabetes if her glucose level is above 136 milligrams per deciliter (mg/dl) one hour after ingesting a sugary drink. Shelia’s measured glucose level one hour after the sugary drink varies according to the Normal distribution with μ = 125 mg/dl and σ = 11 mg/dl. a)What are the mean and standard deviation of the distribution of sample proportion if measurements are made instead on 40 separate days? b)If measurements are made on 40 separate days and the mean result is compared with the criterion 140 mg/dl, what is the probability that Shelia is diagnosed as having gestational diabetes? c)Let’s consider what could happen if we took 40 separate measurements from Shelia. What is the blood glucose level L such that the probability…
Calculate the coefficient of determination for the data, and interpret the value in context.
Q1. A study was conducted to investigate the relationship between premature birth and mental development at 12 months. The infant's birth weight was used as an index of prematurity. At age 12 months, the child's mental development was recorded. The results are shown below (the weights are in pounds): Birth 4 6 7 8 Weight(x) Developmental 85 Quotients(y) 88 87 94 96 Summary: n = 5, £x=30, £x² = 190, Ey= 450, Ey² = 40590, Exy = 2728 . a. Find the least square prediction equation, y on x. b. Obtain a 95% confidence interval for the average value of y when x 6.5 (i.e., a C.I. for E(y|x= 6.5)). c. Obtain the coefficient of correlation (r) and interpret the result. d. Test the hypothesis that H, :p= 0 vs. H, : p0. Use a =0.05.
A researcher want to know if there is a relationship between sleep and anxiety. The researcher randomly selected n = 5 participants and asked each to rate their sleep quality and anxiety level on a scale of 1 to 5. The data are below: Sleep X Anxiety Y 2 2 3 3 2 2 4 2 5 2 Calculate the Sum of Squares for X (SSX)
21. Which of the following statements is true regarding the sources of variation present in an analysis of regression? SSy is partitioned into variation explained by the regression model and residual variation. If most of the variability in Y is associated with residual variation, then X predicts Y. There are three sources of variation in an analysis of regression: regression variance, residual variance, and error variance. Regression variation measures variability in X, whereas residual variation measures variability in Y.
1. Effect size and Cohen's D: a. What is an effect size? What info does it tell you, when is it calculated, etc.? b. What is Cohen’s d? What info does it tell you about the independent variable and dependent variable? (think of how you write the sentences explaining your numbers)
2. How do you identify which variable in a study is the factor? How do you identify the levels of a factor? How do you identify the dependent variable?
If the coefficient of determination is .25 and the sum of squares residual is 180, then what is the value of SSY?
The results obtained above were primarily due to the mean for the third treatment being noticeably different from the other two sample means. For the following data, the scores are the same as above except that the difference between treatments was reduced by moving the third treatment closer to the other two samples. In particular, 3 points have been subtracted from each score in the third sample. Before you begin the calculation, predict how the changes in the data should influence the outcome of the analysis. That is, how will the F-ratio for these data compare with the F- ratio from above? Treatment A F-ratio= = p-value = 6 5 4 LO 5 5 Treatment B Treatment C 5 6 8 4 6 8 7 7 4 10

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