1. An experiment is to be conducted to assess effect of temperature on the amount of impurities removed by using water samples contaminated with the same level of impurity. Six samples are to be tested at each of 5 temperatures and the amount of impurities removed in each sample recorded. (a) What is the response variable? (b) What is the factor of interest? (c) What are the levels of this factor? (d) What experimental design is suitable? (e) Describe how the 30 measurements should be made.

1. An experiment is to be conducted to assess effect of temperature on the amount of impurities removed by using water samples contaminated with the same level of impurity. Six samples are to be tested at each of 5 temperatures and the amount of impurities removed in each sample recorded. (a) What is the response variable? (b) What is the factor of interest? (c) What are the levels of this factor? (d) What experimental design is suitable? (e) Describe how the 30 measurements should be made.

Name: Solve all questions 1. An experiment is to be conducted to assess effe
Uploaded: 2024-03-05T11:52:21.000Z
Channel: Bartleby
Description: Solve all questions 1. An experiment is to be conducted to assess effect of temperature on theamount of impurities removed by using water samples contaminated withthe same level of impurity. Six samples are to be tested at each of 5temperatures and t

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

(c) A Scientist wishes to test the effect of four chemical agents on the shelf life of a particular variety of tomato. The tomatoes are delivered in boxes, and one expects significant shelf life variability between boxes. Identify the experimental units, response variable, factor(s), levels of each factor, and the number of treatments in this study. What type of experimental design should be used? If 24 samples of each treatment will be taken, but each box only supplies 12 tomatoes, then how should the experiment be designed in order to eliminate the effect of box variability?
4.16: what was the effect of the experimental course?
A dietitian wishes to see if a person’s cholesterol level will be changed if the diet is supplemented by a certain mineral. Four subjects were pre-tested, and they took the mineral supplement for a 6-week period. The results are shown in the table. Is there sufficient evidence to conclude that the population mean of cholesterol levels has been changed after six weeks at α=0.2α=0.2? Assume that the differences are from an approximately normally distributed population. Subject Cholestrol Level (mg/dl) Cholestrol Level after 6 Weeks (mg/dl) dd ¯dd¯ (d−¯d)2(d-d¯)2 1 206 217 11 2 219 184 -35 3 202 204 2 4 213 205 -8 Total -30 a) Calculate the mean, the sum of the squared deviation from the mean, and the standard deviation of differences. Do not include the unit for each answer: ¯d=d¯= (do not round) ∑(d−¯d)2=∑(d-d¯)2= (do not round) sd=sd= (rounded to one decimal place) b) Perform the hypothesis test in the following steps: Step 1.…
Suppose we take a sample of 2,500 blood donors from a population for which 50% (0.5) have type O+ blood. (a) Into what range of possible values should the sample proportion fall 95% of the time, according to the Empirical Rule? to (b) If the sample included only 625 donors instead of 2,500, would the range of possible sample proportions be wider, more narrow, or the same as with a sample of 2,500 donors? Explain your answer, and explain why it makes intuitive sense. The range would be with 625 donors compared to a sample of 2,500 donors since the standard deviation of the sampling distribution would be . This makes intuitive sense because if fewer donors are included in the sample, the proportion will be reliable as an estimate of the proportion.
9) The following results are from a regression where the dependent variable is GRADUATION RATE and the independent variables are % OF CLASSES UNDER 20, % OF CLASSES OF 50 OR MORE, STUDENT/FACULTY RATIO, ACCEPTANCE RATE, 1ST YEAR STUDENTS IN TOP 10% OF HS CLASS. The data were split into 2 samples and the following regression results were obtained from the split data. a) What is heteroscedasticity? (b) Why is heteroscedasticity a problem? c) Based on a comparison of the two sets of output, does it appear that there is heteroscedasticity in the data set? Explain. Be sure to write down your null and alternative hypothesis, calculate the test statistic, and find your critical value (test at the 5% level of significance).
Suppose that, as part of a research methods class, Bailey was asked to write a summary of a research paper on the topic of the effects of oil contamination in soil on seed germination rates. Identify the explanatory and the response variables.
(b) The effect of four different concentrations of manure (0, 0.2, 0.4 and 0.6 cwt per acre) on the yield of three different varieties of cowpea was studied. Identify the experimental units, response variable, factor(s), levels of each factor, and the number of treatments in this study
4)The following is an experiment I have designed to analyze the effects of battery type and ambient temperature on the power output of handheld blue lasers. A laser is powered with either standard alkaline batteries, lithium ion batteries, or rechargeable nickel hydride batteries. For simplicity, just call these batteries Type 1, Type 2, and Type 3. Different lasers are run with ambient temperature set at either 60 degrees, 70 degrees, or 80 degrees Fahrenheit. (a) What is the response variable in this experiment? (b) What are the factors in this experiment?(c) List the levels of each factor(d) How many possible treatments can be created in this experiment?(e) List four possible treatments (you do not need to list all of the treatments).
you are given two data sets that provide counts of F1 and F2 offspring with given genders and disease phenotypes. The data are generated from an initial parental cross. One parent displays the disease phenotype and one displays the wild-type (WT) phenotype. The WT parent always has a homozygous genotype. Your task is to perform a chi-square goodness of fit test on each of two F2 data sets, and make a decision, based on your statistical analyses as to which F2 data set provides greater evidence for indicating the correct mode of inheritance. In this problem, the true mode of inheritance is autosomal dominant, homozygous lethal. Evidence is measured in the following ways: the p-value is greater than 0.05, so we do not reject the null hypothesis, and the p-value is closer to 1. A few things of which to be mindful. 1. In the parental generation, the WT parent always has a homozygous genotype. 2. For the autosomal dominant mode of inheritance, the disease gene always homozygous for the…
Compare the two separate scatterplots. In particular, how do the associtation compare between women with pets vs. women without pets? Does one group have more variation in systolic blood pressure than the other? If so, for which group? Does systolic blood pressure seem higher for common ages between the two groups? If so, for which group?
Consider the following: In general, when people diet they typically lose 10 lbs. (?σ = 2). A random sample of 16 people on the keto diet lost 15 lbs. Do people on the keto diet lose more or less weight than people on diets in general? 4. What is the research hypothesis? a) Weight loss in the keto diet sample does not differ from weight loss in the population of dieters in general (H1: X-bar = Mu) b)Weight loss in the keto diet sample does differ from weight loss in the population of dieters in general (H1: X-bar = Mu) c) Weight loss in the keto diet sample does not differ from weight loss in the population of dieters in general (H1: X-bar does not equal Mu) d) Weight loss in the keto diet sample does differ from weight loss in the population of dieters in general (H1: X-bar does not equal Mu)
An agricultural cooperative uses three brands of organic fertilizers which are Brand A, B and C on 138 different crops. The quality of the crop yields is classified as High, Medium and Low. The data are summarized in Table 5. Table 5 Yields’ Quality Fertilizers A B C High 12 9 15 Medium 26 15 15 Low 18 9 19 I. Do the yields’ quality and fertilizers relate to each other? Test at 0.5% level of significance. II. Based on your answer in (i), give one suggestion on how to improve the yield’s quality.