DESIGN AND ANALYSIS OF EXPERIMENTS The manager of Shoprite conducted a study in five of his stores around Polokwaneabout the packaging of food product. He collected the information over five weeks inthe five different stores. Therefore, a Latin-square design model was suggested to bethe best model that can be fitted to compare five types of packaging for the foodproduct, in five stores, over a five-week period. The experiment is set up so that eachpackage appears once at each store, and once over each of the five weeks.a)b)c)Week123451100 A140 B60 C110 D90 E2120 B150 C40120 E70 AStore3110 C16050 E13080 B490 D145 E7090110 C580 E15530100 C100 DAnalyse the data and draw conclusions.Analyse the problem without blocking by weeks and draw conclusion.Perform analysis of the residuals in terms of underlying assumptions of normality,homogenous variance and outliers for the model fitted in part b).

Store 1Store 2Store 3Store 4Store 5Week 1100 A120 B110 C90 D80 EWeek 2140 B150 C160145 E155Week 360…

Answered: The manager of Shoprite conducted 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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Aspirin III: Decision and Conclusion Regarding the experiment in the data frame Aspirin from the abd package, the researchers wanted to know whether or not taking aspirin affects one's risk of developing cancer. Recall that they defined their parameters as follows: p1 = the proportion of ALL individuals who would develop cancer, if all of them were to take aspirin like the subjects in the Aspirin group did. p2 = the proportion of ALL individuals who would develop cancer, if all of them were to take a placebo, like the subjects in the placebo group did. They ran the code for a two-sided significance test and got the following results: ## ## ## Inferential Procedures for the Difference of Two Proportions p1-p2:## cancer grouped by treatment ## ## ## Descriptive Results:## ## yes n estimated.prop## Aspirin 1438 19934 0.07214## Placebo 1427 19942 0.07156## ## ## Inferential Results:## ## Estimate of p1-p2: 0.0005805 ## SE(p1.hat - p2.hat): 0.002586 ## ##…
1. Research Question: Are treatment scores different than control scores? Data: treatment: X ̅_1= 23, S_1^2= 4, n_1 = 35; control: X ̅_2= 20, S_2^2= 7, n_2 = 32.
[STATISTICS] How do you find Beta 1? Data set: https://docs.google.com/document/d/18i0t_5Epc5KbGW5X659fLQID0zEOSIZIFMOIgHqEuos/edit?usp=sharing
3. A certain actuarial model of mortality rate is fitted to some given data. Table 2 below reports the Z-score statistic of the model graduation. (a) List the key steps involved in developing an actuarial model. (b) Explain why we need graduation. What do we actually test statistically? (c) What are the drawbacks of a x²- test? Explain how the sign test may overcome these. (d) Write a statistical hypothesis to test the adherence of the model to the data. (e) The life table data below provides an estimate of mortality rates obtained from a three-parameter Poisson model. Give the quality of goodness-of-fit of the Poisson model by performing statistical tests based on:, and draw the conclusions. i. x²-test. ii. Standardized deviations test. [Consider the following subintervals for the data range: A₁ = (-∞, −3], A₂ = (−3,−2], A3 = (−2, −1], A4 = (–1, 0], A5 = (0, 1], A6 = (1, 2], A7 = (2, 3], and Ag = (3, ∞).] iii. Sign test iv. Change-of-sign test v. Grouping-of-sign test vi. Lag-2 serial…
Could you please highlight the correct answer. and explain it
Need p-value and test statistic please
Experimental Methods - Question 56 The particular question is related to Lean Six Sigma Black Belt (MindPro) covering Experimental Methods. Please thoroughly understand the relevant image, and accurately confirm whether the mentioned statement is TRUE or FALSE, by, clearly providing a Justification/Working.
Quality Style manufactures self-assembling furniture. Toreduce the cost of returned orders, the manager of its quality controldepartment inspects the fi nal packages each day using randomlyselected samples. Th e defects include wrong parts, missingconnection parts, parts with apparent painting problems, and partswith rough surfaces. Th e average defect rate is three per day.(a) Which type of control chart should be used? Construct acontrol chart with 3-sigma control limits.(b) Today the manager discovered nine defects. What doesthis mean?
4. The Impact of the Level of Native Language Proficiency on the Literacy Achievement of English Language Leisures (2012) INDEPENDENT VARIABLE DEPENDENT VARIABLE NULL HYPOTHESIS ALTERNATIVE HYPOTHESIS 5. The Effect of School Building Design on Student Achievement (2011) INDEPENDENT VARIABLE DEPENDENT VARIABLE NULL HYPOTHESIS ALTERNATIVE HYPOTHESIS
ту Bookmarks Window Help Blackboard Learn Remaining Time: 01 minute, 02 seconds. * Question Completion Status: blackboard.sc.edu Content P QUESTION 13 PROBLEM 1 Raw data in the table below come from an independent-measures experiment comparing three different treatment conditions. Treatment 1 0 1 0 3 X=1 Treatment 2 1 412 X=2 Treatment 3 3345 X=3.75 B https To evaluate the effect of the independent variable, researchers conducted the independent-measures one-way ANOVA. They computed the sum of squares between groups to be 15.5 and the sum of squares within groups 14.75. In the study, the percentage of total variability explained by the independent variable is approximately: 49 00 51 95 QUESTION 14 Click Save and Submit to save and submit. Click Save All Answers to save all answers. 7,427 213 280 2 JUN 14 5 tv i A Save All An
Experimental Methods - Question 31 The particular question is related to Lean Six Sigma Black Belt (MindPro) covering Experimental Methods. Please thoroughly understand the relevant image, and accurately confirm whether the mentioned statement is TRUE or FALSE, by, clearly providing a Justification/Working.
You wish to test whether a particular drug manages to bring body temperature down. So, you conduct a pilot study where 47 people receive the drug, and 45 people receive a placebo. The body temperatures of patients from the treatment group are group 1 (variable X1); those from the placebo group are group 2 (variable X2). What is the research hypothesis? mu1 > mu2 mu1 ≠ mu2 mu1 < mu2 mu1 = mu2

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