We consider 26 Titanic passengers from the data set that was also used for your assignments.Of 16 male passengers, 1 survived, whereas 7 of 10 female passengers survived.Of 7 1. class passengers, 3 2. class passengers and 16 3. class passengers, 5, 1 and 2 many survived,respectively.The Gini value of the whole dataset is 0.4032.Note: For the following tasks, all answers that are algubraically ouivatent wis the on w be duraldered correct. Ethe folowinganswers are equivalent: "0.75", "30/40 and 1-1/4a) Calculate the Gini after one split of the attribute gender.b) Calculate the Gini after one split of the attribute class.

Answered: We consider 26 Titanic passengers from…

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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Please do questions 2.5 with R code. Please do not use t.test nor power.t.test. Please use t or z test without using functions.
Data were collected on the times to recovery (in days) for athletes who had serious concussions. There were two data sets. One data set consisted of the recovery times of 200 athletes who were treated for their concussion and the other data set consisted of the recovery times of 200 athletes who received no treatment for their concussions. The histograms summarize the two data sets. For simplicity call the histogram on the left Figure 1, and the one on the right Figure 2. (a)Researchers claim that those who were not treated for concussion tended to have longer recovery times than those who were treated. According to this claim, which of these two histograms corresponds to the data for those who were not treated? (b) In no more than two sentences, justify your answer to part (a). (c) From Figure 1, find the (approximate) proportion of athletes that recovered in 55 or fewer days. (d) Which measure of centrality would you prefer to use for the data that led to Figure 2: the sample mean or…
The following equations were estimated using the data in LAWSCH85: Isalary = 9.90 – .0041 rank + .294 GPA (.24) (.0003) (.069) n = 142, R? = .8238 Isalary = 9.86 – .0038 rank + .295 GPA + .00017 age (.083) (.29) (.0004) (.00036) n = 99, R? = .8036 How can it be that the R-squared is smaller when the variable age is added to the equation?
A special education teacher did research on whether or not there is a relationship between the number of students in his class and the number incidents of “acting out” behaviors exhibited by the autistic students in the classroom. He collects data for a year and aggregates them by month. He obtained the statistics below, r= -.863 R2=.74 b= -1.212294 a= 131.176598 10.) How does the presence of more students affect the incidents in the class? a) as students are added the incidences increase b) as students are added the incidences decrease c) the number of students does not affect acting out d) the number of students caused more incidents How much of the variability of acting out is explained by the number of students in the class?___________
See below.
The following data was collected from a clinical trial testing a new drug aimed to lower blood pressure for individuals older than age 45. Half of the 20 participants received the new drug (Treatment = Yes) and the other half of the participants received a placebo pill (Treatment = No). Their age and gender was also recorded. Please use this data for Questions 17-19 and 20-24 and note, not all the information in the table will be used for either problem, you must decide what is relevant based on what the problem is asking. Subject ID Treatment Age Gender BP_Before BP_After D1 Yes 65 F 103.3 80.5 D2 Yes 59 F 93.6 85.9 D3 Yes 60 M 92 85.2 D4 Yes 54 F 93 87.8 D5 Yes 65 F 95.4 85.3 D6 Yes 57 M 109.6 94.2 D7 Yes 69 M 97.9 83.9 D8 Yes 62 M 96 85 D9 Yes 49 F 98.4 86.3 D10 Yes 45 M 98.4 90 C1 No 63 F 97.4 93.1 C2 No 56…
The following table was generated from the sample data of 10 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1) is the number of hours unsupervised each night, and the second independent variable (x2) is the number of hours of video games each night. Intercept 52.536016 9.353956 5.616449 0.000802 Hours Unsupervised 7.173889 1.656518 4.330703 0.003435 Hours Playing Video Games 2.025042 1.731352 1.169631 0.280429 Step 1 of 2:Write the multiple regression equation for the computer output given. Round your answers to three decimal places. Step 2 of 2:Indicate if any of the independent variables could be eliminated at the 0.010.01 level of significance. (x1, x2, or keep all variables)
The following table was generated from the sample data of 10 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1) is the number of hours unsupervised each night, and the second independent variable (x2) is the number of hours of video games each night. Coefficients Standard Error t-Stat p-value Intercept 62.711817 4.607133 13.611896 0.000010 Hours Unsupervised 0.635048 0.915495 0.693666 0.513836 Hours Playing Video Games 7.528738 1.296727 5.805955 0.001145 Copy Data Step 1 of 2: Write the multiple regression equation for the computer output given. Round your answers to three decimal places. Answer 田 Tables 国 Keypad How to enter your answer (opens in new window) Keyboard Shortcuts X +
Thompson Photo Works purchased several new, highly sophisticated processing machines. The production department needed some guidance with respect to qualifications needed by an operator. Is age a factor? Is a person's mechanical aptitude score important? To evaluate the factors needed to estimate performance on the new processing machines, four variables were selected: x1 = Length of time an employee was in the industryx2 = Mechanical aptitude test scorex3 = Prior on-the-job ratingx4 = Age Performance on the new machine is designated y.Thirty employees were randomly selected and data were collected for each of the variables. A few results follow: Name Performance on New Machine,y Length of Time in Industry,x1 Mechanical Aptitude Score,x2 Prior On-the-Job Performance,x3 Age,x4 Mike Miraglia 112 4 392 119 41 Sue Trythall 117 5 305 127 30 The equation is:yˆy⁢^⁢ = 10.3 + 0.4x1 + 0.986x2 + 0.212x3 + 0.007x4 As age increases by one year, how much does estimated performance on…
Solve these 4 questions please using the data table below
A sample of ten commuters were asked for the distance and the time required commuting to their jobs on a given day. The data is shown in the table along with some calculations from the data. Which of the following statements are true in reference to this data? Distance x I 3 717 18 1011012 Time =y 5 10 15 2015 25 2025 35 35 From the data one obtains: = 276 SS = 103.6 SS SS = 872.5 EX =68 2Y = 205 I) X and Y show a positive correlation with r = .918 II) X and Y show a positive correlation with r = .843 III) Approximately 84.3% of the variation in time is explained by distance O l only O Il only O III only O I and III only Il and III only O I, II, and lII are all true
Let x represents even numbers from 0 to 100 and y represents odd numbers from 1 to 100, Write a program in R program represent the data of x & y and print the values of x are odd numbers and y are the to even numbers ?

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