4 Chemical Oxygen Demand (COD) is a necessary water fine parameter due to the factsimilar to BOD, it affords an index to examine the effect discharged wastewater willhave on the receiving environment. Table 4 shows the means for the removalreduction of COD in wastewater by three different treatment methods. Test thehypothesis that the reduction percentage is no different for each treatment method. Usethe 5% level of significance. Table '4: The means for the removal reduction of COD in wastewater by three differenttreatment methods (in percentage)Treatment 1Treatment 2Treatment 340506050607040709080608060809090

Introduction: Denote μ1, μ2, μ3 as the true mean reduction percentage of COD in wastewater, using…

Answered: Chemical Oxygen Demand (COD) is a…

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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Describe delta method and application in reliability or survival analysis in details
Use ”margin.table” to get the Titanic marginal table for factors 1 (class of accomodations) and 4 (survival). Apply the chi-square test to see if class and survival are dependent. Do it both by hand and with ”chisq.test” in R. Attached is the data output from R-studio. Please apply the chi-aquare test on that by hand method ASAP needed. Thanks.
Model A: Y= β_0+β_1 X+ε Model B: Y= β_0+β_1 X+β_2 X^2+ε where Y = Earnings, X = Experience, and X Square dis Experience Squared Suppose now that we’ve squared X and added that to the model. Are the predictors significant in this model B? Explain. Is this a good model? Compare this model B to model A. Which model should you use for predictive analytics purposes? Why? Interpret the coefficients from Model B. Can we interpret the coefficients from Model B as a causal parameters?
true or false: If a 90% CI for the difference between two means is calculated to be [ 6.2, 9.6] then in words this is interpreted as the 90% of the time the true population difference in means will be between 6.2 and 9.6
Why is it that the exponential smoothing method offers a better forecast accuracy?
A market study found that the sales for a firm were related to advertising expenditure, as follows: Advertising Expenditure (Kshs ‘000’) Sales (Kshs ‘000’) 0 13 1 16 2 14 3 22 4 17 5 21 6 26 Required Draw a scatter diagram with the line of best fit to show the relationship. Determine the regression line equation for estimating the sales for a given level of advertising expenditure What is the estimated sale in thousand, if no advertising expenditure is incurred?
I recently asked this question and was wondering if you could show me how to do it, not just putting it in a caculator or excel but written out equations and seeing my information plugged in so I can understand. Thank you. Calculate the simple linear regression to determine if the amount of time spent on homework can be predicted by amount of sleep. Graph the relationship and determine, numerically, if there are any outliers. Interpret all results in a paragraph citing the appropriate statisitcs.
Please view attachemnet and submit answer.
Given the “data” determined by y = x^3 + (x-1)^2 with x = 0.1, 1.2, 2.3, and 2.9, calculate SSTO, SSR, and R^2. Then recalculate these using x = 0.3, 1, 2.45, and 2.8. Does where you collect your data (i.e., which values of x) appear to impact your interpretation of how good the linear model fits?.
How do the results compare to the percentage using chebychev's theorem?
2. To investigate the effect of pH and catalyst concentration on product viscosity (sSt). Two levels of pH were used 5.6 and 5.9 and two catalyst concentration 2.5 and 2.7. Four products were tested with each combination of pH and catalyst. a. Use the estimate table below to test for main effects and interaction using a = 0.05. What are your conclusions? Predictor Constant Coefficient SDCoeff 191.563 165.49 pH 2.937 1.158 2.52 Catalyst -0.062 1.158 -0.05 pH*Catalyst 5.812 1.158 5.02 b. What is the value for the overall average viscosity? c. Write the regression model for this experiment. d. Below the interaction plot for the experiment. Discuss the information provided by the plot. To maximize viscosity what would be the recommended setting? Interaction Plot for Viscosity Data Mears 200 195 190- 185 Catalyst Concentration Mean Product Viscosity (cSt)
I need help with part b please to find the two models which use the best subset of variables. thanks

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