What are the findings of the study? Table 4. One-way ANOVAWeightSum ofdfMeanFSig.SquaresSquareBetween Groups12.05726.028171.619.000Within Groups.84324.035Total12.90026Table 5. Post hoc analysis using Duncan test (DMRT)TreatmentNSubset for alpha = 0.05%3D123Commercial pellets9.1.23005% body weight1.915610% body weight2.8600Sig.1.0001.0001.000Means for groups in homogeneous subsets are displayed.a. Uses Harmonic Mean Sample Size = 9.000.%3D Title: Pomacea canaliculata Meat as Natural Protein Diet for Broiler ChickenStatement of the Problem:Generally, this study aims to determine if P. canaliculata meat can be use d as natural proteindiet for broiler chicken.Specifically, seek to answer the following questions:1. What are the weights of chicken after 45 days of feeding?2. Is there a significant difference in the weight of chicken feed with commercial pellets and differentamount of P. canaliculata meat?Collected data on the weight of chicken after 45 days of feeding based on body weight ratiowith 9 chicken per treatment: Commercial pellets - 1.00, 0.99, 1.06, 1.67, 0.99, 1.04, 1.50, 1.23,and 1.59 in kgs; 5% body weight of P. canaliculata meat - 1.69, 1.97, 2.00, 2.02, 1.96, 2.04, 1.78,1.84, and 1.94 in kgs; and 10% of body weight P. canaliculata meat – 2.69, 2.97, 3.00, 2.82, 2.96,2.74, 2.78, 2.84, and 2.94 in kgs (Meet assumptions for parametric statistics).Figure 3. Sample study having three groups.Table 3. Kruskal WallisTest Statisticsa.ba. Kruskal Wallis TestWeighttment WeightChi-Square23.150df2Asymp. Sig..000

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Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

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Chapter4: Eigenvalues And Eigenvectors

Section4.6: Applications And The Perron-frobenius Theorem

Problem 22EQ

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Urban Travel Times Population of cities and driving times are related, as shown in the accompanying table, which shows the 1960 population N, in thousands, for several cities, together with the average time T, in minutes, sent by residents driving to work. City Population N Driving time T Los Angeles 6489 16.8 Pittsburgh 1804 12.6 Washington 1808 14.3 Hutchinson 38 6.1 Nashville 347 10.8 Tallahassee 48 7.3 An analysis of these data, along with data from 17 other cities in the United States and Canada, led to a power model of average driving time as a function of population. a Construct a power model of driving time in minutes as a function of population measured in thousands b Is average driving time in Pittsburgh more or less than would be expected from its population? c If you wish to move to a smaller city to reduce your average driving time to work by 25, how much smaller should the city be?
Two methods of determining fat content in milk are being tested. Samples are taken from 6 different milk cartons and both methods are used on a sample from each container. The readings are Carton 1 2 3 4 5 6 Method A: 2.2 1.7 2.0 1.9 2.1 2.3 Method B: 1.8 2.1 1.9 1.4 2.1 1.7 (A-B) 4 -4.1 50 .6 From Minitab Output: N Method A Method B 6 6 Mean 2.033 1.833 StDev .216 .266 Difference 6 .200 .374 To test the null hypothesis Ho that there is no difference in the two methods of determining fat content, the lowest level of significance to reject the null hypothesis is: OA: 0.20 B: 0.15 OC: 0.25 OD: 0.10 E: 0.05
The data below are for two different types of straw seed that were used on adjacent plots of land. The listed values are the yields of straw in cwt (100 lb, or hundredweight) per acre, and the yields are paired by the plot of land that they share. Complete parts (a) through (c). Type 1 Type 219.25 2523 23.7522.75 24.2522.75 28.2522.25 22.7519.5 19.7524.5 22.2515.5 1618 17.2514 1617 17.25 Using a 0.05 significance level, test the claim that there is no difference between the yields from the two types of seed. Let mu Subscript dμdbe the mean of the population of differences of type 1 minus type 2 and write the hypotheses. The null hypothesis is Upper H 0H0: Upper H 1H1: The test statistic is State the conclusion that addresses the original claim.
Weight 1.897 Cost 53.6 3.019 184.9 0.453 6.4 0.988 23.5 1.058 33.4 2.1 110.4 2.387 104.6 People at SpaceX Inc conducted a pilot study to determine the relationship between the weight and cost of a major object being sent into space. The results of the pilot study are contained in data file ASP.1, available in the LBRT #2 folder. Determine the number of observations needed to be 89% confident that the estimate of the average cost is within $15 of the overall mean cost. Note: Assume that the pilot study standard deviation is a good estimate of the population standard deviation, that an appropriate value from the Z-table can be used, and that hand calculations are used to find the answer (i.e. do not use Kaddstat).
Sulfite is a drug used to treat asthma. In a sample of 400 patients treated at ridge hospital with sulfite, 26% of them said they were quickly relieved. Use this information to answer the following questions: I. What is the variable in the study? ii. What is the population? iii. What is the sample size?
A materials engineer wants to understand the relationship between the strength of plastic cases and the temperature at which the strength measurements were made. The engineer collects several samples from the manufacturer and records the following observations. Using the data below and what you have learned in Forecasting, determine the following (use four decimal places for values): 1) Which is the response variable? 2) What would be the value of the coefficient of determination between the two variables? 3) What would be the strength of the plastic if the temperature was 210? Sample Temperature Strength 1 185 5150 2 183 5125 3 187 5123 4 188 5140 5 189 6 189 M 5195 5190 5150 7 192 8 195 5155 9 196 5156 10 198 5162 11 193 5172 12 196 5196 13 200 5063 202 5025 14
16. Gravetter/Wallnau/Forzano, Essentials - Chapter 14- End-of-chapter question 16 Judge and Cable (2010) report the results of a study demonstrating a negative relationship between weight and income for a group of men. Following are data similar to those obtained in the study. To simplify the weight variable,, the men are classified into five categories that measure actual weight relative to height, from 1 = thinnest to 5 = heaviest. Income fiqures are annual income (in thousands), rounded to the nearest $1,000. Weight Income 4 151 88 3. 52 2. 73 49 92 1. 56 143 These data show a positive relationship between weight and income for a sample of men. However, weight was coded in five categories, which could be viewed as an ordinal scale rather than an interval or ratio scale. If so, a Spearman correlation is more appropriate than a Pearson correlation. Convert the weights and the incomes into ranks and complete the table that follows. Ranks XY

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