The aim is to investigate the influence of the carbon content C. [%) (C, C,) and the casting temperature T [°C) (T), T, Tỷ and Tuhto have the number of defective parts in a mold.The following ANOVA table was calculated (significance level 5%). Indicate what type of analysis of variance it is. Explain your decision. Test the given hypotheses and interpret theresults. Specify the effect sizes.ANOVA table:Causes of dispersion Sums of squares dfP valueCarbon content0.430.7181Casting temperature56.040.0187interaction22.783 0.0405failure97.8232total177.0739Name of the test procedure:O One-way analysis of variance with repeated measurementsO Two-factor analysis of variance without repetition of measurementsO Two-factor analysis of variance with repeated measuresO h-test according to Kruskal and WallisReason:O There are three influencing factorsO There are two influencing factors and how they interactO The ANOVA table lists the errorhypothesis H3 discard:Interpretation:O There are no very significant errorsO There are significant interactionsO There are very significant interactions hypothesis H3 discard:Interpretation:O There are no very significant errorsO There are significant interactionsO There are very significant interactionsO There are no significant interactionshypothesis H2 accept:Interpretation:O There are no very significant differences in terms of errorsO There are significant differences with regard to the casting temperatureO There are very significant differences in the casting temperatureO There are no significant differences with regard to the casting temperaturehypothesis H1 discard:Interpretation:O There are no very significant differences in the interactionO There are significant differences in carbon contentO There are very significant differences in carbon contentO There are no significant differences in terms of carbon contentEffect strength carbon content:(土0.001Effect strength casting temperature:(土0.00)Effect size interaction:(土0.00)

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Answered: The aim is to investigate the influence…

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)

6th Edition

ISBN:9781337111348

Author:Bruce Crauder, Benny Evans, Alan Noell

Publisher:Bruce Crauder, Benny Evans, Alan Noell

Chapter5: A Survey Of Other Common Functions

Section5.6: Higher-degree Polynomials And Rational Functions

Problem 5E: Population Genetics In the study of population genetics, an important measure of inbreeding is the...

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Cholesterol Cholesterol in human blood is necessary, but too much can lead to health problems. There are three main types of cholesterol: HDL (high-density lipoproteins), LDL (low-density lipoproteins), and VLDL (very low-density lipoproteins). HDL is considered “good” cholesterol; LDL and VLDL are considered “bad” cholesterol. A standard fasting cholesterol blood test measures total cholesterol, HDL cholesterol, and triglycerides. These numbers are used to estimate LDL and VLDL, which are difficult to measure directly. Your doctor recommends that your combined LDL/VLDL cholesterol level be less than 130 milligrams per deciliter, your HDL cholesterol level be at least 60 milligrams per deciliter, and your total cholesterol level be no more than 200 milligrams per deciliter. (a) Write a system of linear inequalities for the recommended cholesterol levels. Let x represent the HDL cholesterol level, and let y represent the combined LDL VLDL cholesterol level. (b) Graph the system of inequalities from part (a). Label any vertices of the solution region. (c) Is the following set of cholesterol levels within the recommendations? Explain. LDL/VLDL: 120 milligrams per deciliter HDL: 90 milligrams per deciliter Total: 210 milligrams per deciliter (d) Give an example of cholesterol levels in which the LDL/VLDL cholesterol level is too high but the HDL cholesterol level is acceptable. (e) Another recommendation is that the ratio of total cholesterol to HDL cholesterol be less than 4 (that is, less than 4 to 1). Identify a point in the solution region from part (b) that meets this recommendation, and explain why it meets the recommendation.
Population Genetics In the study of population genetics, an important measure of inbreeding is the proportion of homozygous genotypesthat is, instances in which the two alleles carried at a particular site on an individuals chromosomes are both the same. For population in which blood-related individual mate, them is a higher than expected frequency of homozygous individuals. Examples of such populations include endangered or rare species, selectively bred breeds, and isolated populations. in general. the frequency of homozygous children from mating of blood-related parents is greater than that for children from unrelated parents Measured over a large number of generations, the proportion of heterozygous genotypesthat is, nonhomozygous genotypeschanges by a constant factor 1 from generation to generation. The factor 1 is a number between 0 and 1. If 1=0.75, for example then the proportion of heterozygous individuals in the population decreases by 25 in each generation In this case, after 10 generations, the proportion of heterozygous individuals in the population decreases by 94.37, since 0.7510=0.0563, or 5.63. In other words, 94.37 of the population is homozygous. For specific types of matings, the proportion of heterozygous genotypes can be related to that of previous generations and is found from an equation. For mating between siblings 1 can be determined as the largest value of for which 2=12+14. This equation comes from carefully accounting for the genotypes for the present generation the 2 term in terms of those previous two generations represented by for the parents generation and by the constant term of the grandparents generation. a Find both solutions to the quadratic equation above and identify which is 1 use a horizontal span of 1 to 1 in this exercise and the following exercise. b After 5 generations, what proportion of the population will be homozygous? c After 20 generations, what proportion of the population will be homozygous?

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