36 trainees in a technical program were selected according to level of study (I,II,III,IV) and each of the 9 traineesper level randomly assigned to three different types of instructional approaches, all of which are concerned withdeveloping a specified level of skill in computer-assisted design. The trainees were then given a test to assess if thelevel of study and method of instruction had any impact on their performance. A two-way ANOVA model was usedto carry out the assessment and part of the results obtained were as follows:Sum ofsquares330.9750.083.9435.3Source ofvariationlevel of studymethod of instructioninteraction termerrorMean Sumof squaresABсD (d)(1) Compute the F-statistic for determining if method of instruction has an effect on average performance (round offanswer to two decimal points)Interpretation of result in part (1) above(use critical value= 3.316)since the result is significant, method of instruction has an effect on average performancesince the result is significant, method of instruction does not have an effect on average performancesince the result is not significant, method of instruction has an effect on average performancesince the result is not significant, method of instruction does not have an effect on average performance

Given data: Source of variation Sum of squares Level of study 330.9 method of instruction 750…

Answered: (1) Compute the F-statistic for…

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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5) Data are collected on starting salaries for graduating undergraduates and the GPA of the students and whether they were a business major (=1) or not (=0) a) Complete the table below e) Are any of the explanatory (independent) variables significant at the 10% level of significance? How do you know? f) ess major and What is the predicted value of income for a person that is a busin had a 3.5 GPA? g) What is the effect on the income of a person being a business major versus not a business major?
A,B AND C
Should there be a significant difference with this study, what post-hoc test shall be used? Dr. Hess has done work that suggests that emotional arousal affects pupil size. To ascertain if the type of arousal makes a difference, you decided to measure pupil size under three different arousal conditions (Neutral, Pleasant, Aversive). Each participant will look at all the different pictures that differ according to the condition. The pupil size after viewing each photograph is measured in millimeters. * t-Test paired two sample for means O t-Test assuming equal variances O t-Test assuming unequal variances
Q2) Independent-Samples t-Test (Round calculated results to the hundredth (2nd place to the right of the decimal)) In a research project, researchers collected demographic and health data from a sample of elderly residents in the community. To examine any possible gender differences in their sample, they want to see if the females and the males differ significantly on the education level (number of years of formal schooling). The researchers are not predicting any direction in the possible gender differences so the hypotheses should be non-directional. They would like to run a two-tailed test with α = .10. Male Subject ID Education Female Subject ID Education 1 14 13 14 2 15 14 15 3 17 15 18 4 13 16 18 5 15 17 16 6 15 18 17 7 13 19 16 8 15 20 16 9 15 21 17 10 16 22 15 11 17…
Conduct a related-sample t-test using data set below. Each row represents a pair of scores.2) Determine the critical values ( = .05, two-tailed) you should use to evaluate this t-test.3) Compute r^2 for this t-test. A B18 435 4031 1430 1840 3025 2711 1730 1828 1220 20
Q4 Deep leaming is a type of Machine Learning, inspired by the function and structure of a human brain, where machines can learn by experience and acquire skills without any human involvement. Table Q4 shows the relation of data amount and the performance of a deep learning technique capability to perform COVID-19 face mask identification among crowd in Pasar Rabu, Taman Universiti, Parit Raja. Table Q4 Independent variable Dependent variable Face mask identification Set of experiment Training data size, x аccuracy (%), у 1 100 30 200 40 3 300 50 400 55 500 60 6. 600 70 7 700 75 8 800 80 9 900 85 10 1000 90 10 10 10 Given > r; = 4600, = 635, > = 2860000 i=1 i=1 i=1 10 10 = 43875, >r yi = 322000 (a) Determine Sr, Syy, and Sry (b) Determine B. B. (c) Determine the estimated regression line equation.
The best depiction of a population characteristic is a(an): Dependent variable Statistic Independent variable Parameter
(b) A rescarcher supccts that the fish in a particular elevated wetland have elevated mercury level. To confirm that, five striped bass in that wetland were caught and their tissues were tested for mercury. Then four striped bass in an unpolluted wetland were also caught and tested for the purpose of comparison. Table QI shows the fish mercury levels in mg/kg. Table QI shows the fish mercury levels in mg/kg. Sample from polluted wetland Sample from unpolluted wetland 0.580 0.382 0.711 0.276 0.571 0.570 0.666 0.366 0.598 Construct the 95% confidence interval for the difference in the population means. Then, test at the 5% level of significance, whether the researcher's suspicion is valid. Assume that the population variances are equal.
Give 5 examples for both descriptive and inferential statistic Descriptive • Inferential|
A researcher designs an experiment using two drugs, she prepares 15 independent flasks of yeast growth medium and yeast cells. She adds tunicamycin (T) or caffeine (C) to 5 flasks each. Remaining 5 flasks get no drugs (ND). Doubling time of the yeast cells are measured in each flask, data is in the table. Test if mean doubling time is different in Caffeine (C ) when compared to no drug (ND) using an ANOVA method, report an approximate p-value for the level of significance.
An excess of high values for the cases distributed on a graph results in a positive skew in the data?

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