Analysis of VarianceModel: Sepal. Length SpeciesF ValueSourceDFSum of SquaresMean SquarePr> F63.212138.9562102.168119.265RegressionResidualTotal214714931.60611.66967e-310.265008Question #4 Perform a one-way ANOVA F test to determine whether there is a difference in the populationmean sepal lengths between the three species. Use the output in your answer to Question #3 to obtain the teststatistic, the sampling distribution it comes from (including degrees of freedom), and the p-value. What can youconclude about the sepal lengths of the three species?One-way ANOVA F test:

One-way ANOVA F test:The aim is to check whether there is a difference in the population mean sepal…

Answered: Analysis of Variance Model: Sepal.…

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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Hocument/d/1ho6gSyZTqOTIUok211PsszM1fL7Jz4K2HPR4WWL4x1g/edit sert Format Tools Extensions Help 2 100% D 1 ▼ Normal text 2 1 W L #3 E 2 $ Arial A quality control expert at Glotech computers wants to test their new monitors. The production manager claims they have a mean life of 83 months with a variance of 100. If the claim is true, what is the probability that the mean monitor life would be greater than 81.3 months in a sample of 89 monitors? Round your answer to four decimal places. R % 5 T ^ 10.5 + 6 Y & B 7 * CO I U 5 8 I A ( 9 ) 0 6 P
Perform a repeated measures ANOVA on the data in the table and construct an ANOVA summary table. Does the ANOVA suggest that systematic differences exist across trials? Calculate the intraclass correlation coefficient for models 2,1 and 3,1. Calculate the standard error of measurement. Assume a person has an observed score of 40. Construct a 95% CI about this subject’s observed score to estimate the interval in which we think that person’s true score lies. Calculate the minimal difference using a 95% CI. Day 1 Day 2 Day 3 35.6 36.8 37.5 40.3 39.5 41.5 37.5 36.5 35.5 45.8 42.5 48.6 41.3 38.6 37.2 34.8 31.9 32.5 41.3 46.5 45.6 32.1 34.7 36.5 29.8 31.2 33.8 48.6 45.6 43.5 42.6 41.8 43.4 37.8 35.1 39.5
You want to determine if diet impacts body weight. You recruit 60 subjects, assigning 20 each to either one of two dietary interventions or to maintain their normal diet. You measure body weight before and after the intervention and calculate the change in body weight (post minus pre weights). To determine the diet effect on the calculated change in body weight, you would use a .Assume all assumptions are met for a parametric test. Factorial ANOVA One-way repeated measures ANOVA O Factorial repeated measures ANOVA One-way ANOVA
Which is not one of the major assumptions typically associated with parametric tests of significance? A. Random Selection B. Homogeneity of Variance C. Absence of restricted ranges
I need help with these questions 1. do the covariates and factors interact? 2. can you conclude a homogeneity of regression slopes? 3. can you conclude homogeneity of variance?
Chapter 9, Section 2, Exercise 030 Use the following ANOVA table for regression to answer the questions. Analysis of Variance Source DF SS MS F P Regression 1 304.5 304.5 2.01 0.158 Residual Error 174 26361.0 151.5 Total 175 26665.5 Give the F-statistic and p-value.Enter the exact answers.The F-statistic is=The p-value is=
Use the following ANOVA table for regression to answer the questions. Analysis of Variance Source DF SS MS F P Regression 1 291.4 291.4 2.01 0.158 Residual Error 174 25230.0 145.0 Total 175 25521.4 Give the F-statistic and p-value.Enter the exact answers.The F-statistic is =The p-value is =
Results of a research claim to predict wind speed at a place with a variance of 4 km/hr or less. A random sample of 24 measurements provides a sample variance of s2 = 4.9. Assuming that the population distribution of wind speed is approximately normal, check the validity of the claim at 5% level of significance using chi-square test.
Microsoft Edge 3 https://elearn.squ.edu.om/mod/quiz/attempt.php?attempt3D1894461&cmid3890604&page=12 QU E-LEARNING SYSTEM (ACADEMIC) Business Statistics 1 || Spring21 Time left 1:46:05 Quiz Question 13 The total cost for a production process is $600 minus two times the number of units produced. The mean and variance of the number of produced are 200 and 20, respectively. So, the mean and variance of the total cost are ot yet swered arked out of a. 600, 200 Nu 1 Flag estion ОБ. 400, 180 O c. 1000, 560 O d. 200, 80 NEXT PAGE PREVIOUS PAGE
The key assumptions of the ANOVA include homogeneity of variance, normality of population distributions and: Independence of observations The DV must be measured on a nominal level The IV must be measured on a continuous level Variability of residuals
the powerball lottery is played twice each week in 31 states, the district of columbia and the virgin islands. To play powerball, a participant must purchase a $2 ticket, selest five numbers from the digits 1 through 59, and then select a powerball number from the digits 1 through 35. To determine the winning numbers for each game, lottery officials draw 5 white balls out of a drum of 59 white balls numbered 1 through 59 and 1 red ball out of a drum of 35 red balls numbered 1 through 35. To win the powerball jackpot, a participant's numbers must match the numbers on the 5 white balls in any order and must also match the number on the red powerball. The numbers 5-16-22-23-29 with a powerball number 6 provided the record jackpot of $580 million a) How many powerball lottery outcomes are possible?( hint Consider this a two-step exsperiment. Select the 5 white ball numbers and then selectthe 1 red Powerball number) b) What is the probability that a $2 lottery ticket wins the powerball…
Let's study the relationship between brand, camera resolution, and internal storage capacity on the price of smartphones. Use α = .05 to perform a regression analysis of the Smartphones01CS dataset, and then answer the following questions. When you copy and paste output from MegaStat to answer a question, remember to choose to "Keep Formatting" to paste the text. a. Did you find any evidence of multicollinearity and variance inflation among the predictors. Explain your answer using a VIF analysis. b. Copy and paste the normal probability plot for your analysis. Is there any evidence that the errors are not normally distributed? Explain. c. Copy and paste the Residuals vs. Predicted Y-values. Does the pattern support the null hypothesis of constant variance for the errors? Explain. d. Study the residuals analysis. Which observations, if any, have unusual residuals? e. Study the residuals analysis. Calculate the leverage statistic. Which observations, if any, are high leverage…

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