MyProgrammingLab with Pearson eText -- Access Code Card -- for Building Java Programs
MyProgrammingLab with Pearson eText -- Access Code Card -- for Building Java Programs
5th Edition
ISBN: 9780135472460
Author: REGES, Stuart, Stepp, Marty
Publisher: PEARSON
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Chapter 3.1, Problem 3SCP

Explanation of Solution

Nine mistakes:

  • Mistake-1 in Line 5:
    • When passing the arguments to the method, the data type is used.
    • The user should not declare a parameter when passing the arguments.
  • Mistake-2 in Line 5:
    • The argument “y” is not declared and initialized before the method call.
    • When the variable is passed as an argument to a method call it should be initialized.
  • Mistake-3 in Line 6:
    • The method header in line number “11” is defined with two parameters but program statement in line number “6”, the method is invoked only with one argument.
    • The number of arguments in method call should be same as the number of parameters in the method header.
  • Mistake-4 in Line 7:
    • The method header in line number “11” is written with two parameters of type “double” but the method is invoked with two arguments of type “String” in line number “7”.
    • The type of arguments should be same as the type of parameters in the method header.
  • Mistake-5 in Line 8:
    • The variable “z” used in line number “8” is not declared and initialized in this scope.
    • The variable to be used in the print statement should be declared and initialized within that scope...

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Can you help me solve this problem using Master's Theorem:Solve the recurrence relation f(n) = 3af(n/a) + (n + a)2 with f(1) = 1 and a > 1 byfinding an expression for f(n) in big-Oh notation.
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
using r language

Chapter 3 Solutions

MyProgrammingLab with Pearson eText -- Access Code Card -- for Building Java Programs

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