8. For the given incomplete y vs x data. The data is fit by quadratic spline interpolations given byx124 6 7511??????f(x) = ax -1,1≤x≤2f(x) = -2x² + 14x-9, 2≤x≤4f(x) = bx² + cx+d, 4≤x≤6yf(x) = 25x²-303x + 928,where a, b, c and d are constants. Find the value of cA. -0.25C. 196≤x≤7B. 0D. 2

Concept:The data given presents the value of y when x values are givenThat is when means and Hence

Answered: 8. For the given incomplete y vs x…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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A)Test the claim, at the a = 0.10 level of significance, that a linear relation exists between the two variables, for the data below, given that y-1.885x +0.758. -5 |-3| 4 11 6 y Step 1) State the null and alternative hypotheses. Step 2) Determine the critical value for the level of significance, a. Step 3) Find the test statistic or P-value. Step 4) Will the researcher reject the null hypothesis or do not the null hypothesis? Step 5) Write the conclusion. B) The regression line for the given data is v = -1.885x + 0.758. Determine the residual of a data point for which x = 2 and y = -4. SAMSUNG DII 96 &
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Table 1 gives data on GDP (Y - in billions), foreign direct investment (X₂ - in billions), and corruption index (X3) 31. Y 45 50 54 58 63 69 74 78 X₂ 75 78 83 86 90 93 98 100 X3 15 12 9 6 3 -2 -5 -8 What is the value of Σx and Σx3, given that x₁ = X; - X? A. 579 and 475 B. 959 and 737 C. 675.2500 and -518.2500 D. - 567.1456and 255.3750
Below is my script for some problems I am doing in RStudio. How do I code to get the statistical data that shows how the male tv hours differ to the female tv hours? Chapter 2 R Lab.R X StudentSurvey.(1) x Source on SaveE T # 3- Ine Exercise nours are skewea Tert 8 xtabs (~Year, Student Survey. (1)) 9 # 1- The highest concentration of students are Sophomores 10 table(Year)/length (Year) II # 2- The relative frequency for seniors was 0.1% (rounded) 11 Student Survey. (1) STV 12 12 TV 13 14 23 15 16 29 18 19 20 21 22 23 21 24:1 hist (TV) →→Run boxplot (TV) # 6- Based on the box plot there is not a smallest outlier, but there are large outliers # The outliers for hours spent watching TV are any values above 20 hours Survey - Student Survey. (1) #Renaming xtabs (~Sex, Survey) install.packages ("lattice") library("lattice") bwplot (TV Sex, Survey) # 7- Men on average watch more TV # 8- Men have more variability in hours watching TV (Top Level) + Source R Script =
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The y for the association between education and health is -0.386. Does y for the relationship between frequency of prayer and health (-.055) represent a stronger or weaker ordinal association then the y of -0.386 for the relationship between education and health? Options: A. stronger relationship than y of -0.386 B. Weaker relationship than y of 0.386 C. cant tell from the information provided
Consider data on every game played by the Brooklyn Nets in 2014 (82 games) that includes the variables margin, - the Net's margin of victory (number of points the Nets scored minus the number of points their opponent scored) for game i, and • home; - a dummy variable equal to 1 when the Nets are the home team (game i was played in their home arena) and equal to 0 when they are the away team (game i was played in the opponent's arena). I use the least-squares method to estimate the following regression model margin = a + ßhome; + ei Below is the Stata output corresponding to the estimated regression line: regress margin home if team===== "Brooklyn Nets" . Source Model Residual Total margin home _cons SS 1459.95122 15252.0488 16712 df 1459.95122 1 80 190.65061 None of the above 81 206.320988 Coef. Std. Err. 8.439024 3.049595 -5.219512 2.156389 MS t Number of obs F(1, 80) Prob > F R-squared O The Nets lost more games than they won in 2014 P>|t| 2.77 0.007 -2.42 0.018 Adj R-squared = Root…
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Q1. A psychologist conducted a study on the relationship between introversion and shyness. The values are results for scales of introversion and shyness. High positive scores on each scale indicate high introversion or shyness; and high negative scores indicate low introversion or shyness. Data collected from 10 people as follows: Introversion 4 -7 -1 0 6 7 -4 -9 -5 8 Shyness 11 -7 -1 -3 0 7 -1 -8 -1 5 a) Compute the correlation coefficient relating introversion and shyness scores. b) Find the regression equation which predicts introversion from shyness. c) What introversion score would you predict from a shyness score of 7?
Elaine is interested in determining if men are more satisfied in their jobs than women in the healthcare industry. She administers a job satisfaction questionnaire to 20 men and 20 women working in hospital administration. Her grouping variable is gender and dependent variable is job satisfaction. The job satisfaction scale consists of 8 items measured using a 5-point rating scale. A higher score on this scale would indicate high job satisfaction. The maximum score that can be obtained on the scale is 40. We can assume that job satisfaction scores are normally distributed. Use the appropriate T test with a significance level of 0.05 to test the hypothesis. Research Question Do the mean job satisfaction scores differ for men and women working in the hospital administration department? Hypothesis The mean job satisfaction scores do not differ for men and women working in the hospital administration department. Compute an independent sample t test on these data. Report…

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