Q3: The following data represent theproduction of orange harvest from20 farms in a one province. Assumethe data is asymmetrical skewed, andthe sum of the two missing values isequal to three times the difference:between them. Answer the following504772796978565767756852846367826277Q3 (d): Is the empirical relationamong Mean, Median and Mode can* ?be applied for this dataYes ONoMay be O

It is given that the data follows asymmetrical skewed distribution.

Answered: Q3 (d): Is the empirical relation among…

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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In a planned study, there is a known population with a normal distribution, 4- 45, anda- 3. What is the predicted effect size (d) if the researchers predict that those given an experimental treatment have a mean of (a) 45, (b) 47, (c) 50, (d) 52, and (e) 42? For each part, also indicate whether the effect is approximately small, medium, or large. Show all equations and work.
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Data are collected in an experiment designed to in- vestigate the impact of different positions of the mother during ultrasound on fetal heart rate. Fetal heart rate is measured by ultrasound in beats per minute. The study includes 20 women who are as- signed to one position and have the fetal heart rate measured in that position. Each woman is between 28 weeks and 32 weeks gestation. The data are shown in Table 7–7. Is there a significant difference in mean fetal heart rates by position? Run the test at a 5% level of significance. back side sitting standing 140 141 144 147 144 143 145 145 146 145 147 148 141 144 148 149 139 136 144 145
(b) Predict what will happen to the data distribution if outlier exists in the data.
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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.
True or false. If the IQR of a dataset is 0 then any observation smaller than Q1 is classified as an outlier using the 1.5(IQR) rule.
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Q3 (d): Is the empirical relation among Mean, Median and Mode can * ?be applied for this data