Starting Out with C++ from Control Structures to Objects, Student Value Edition (9th Edition)
Starting Out with C++ from Control Structures to Objects, Student Value Edition (9th Edition)
9th Edition
ISBN: 9780134443829
Author: Tony Gaddis
Publisher: PEARSON
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Chapter 21.1, Problem 21.3CP
Program Plan Intro

Binary tree:

  • Binary tree is a non-linear data structure.
  • Binary tree contains node such as root node that is pointed to two child nodes.
  • A root node will have left reference node and right reference node.
  • Binary tree will contain more than one self referenced field.

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here is example 7.6## Example 7.6 Suppose the sample population is χ 2 (2), which is non-normal but with same variance 4. ▶ Repeat the simulation, but replacing the N(0, 4) samples with χ 2 (2) samples. ▶ Calculate the empirical confidence level.(Empirical confidence level) n <- 20 alpha <- 0.05 UCL <- replicate(1000, expr = { x <- rchisq(n,df=2) (n-1)*var(x)/qchisq(alpha,df=n-1) }) sum(UCL >4) mean(UCL > 4) ## t.test function n <- 20 x <- rnorm(n,mean=2) result <- t.test(x,mu=1) result$statistic result$parameter result$p.value result$conf.int result$estimate
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