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📄 f_test.cpp

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// Copyright John Maddock 2006// Copyright Paul A. Bristow 2007// Use, modification and distribution are subject to the// Boost Software License, Version 1.0.// (See accompanying file LICENSE_1_0.txt// or copy at http://www.boost.org/LICENSE_1_0.txt)#ifdef _MSC_VER#  pragma warning(disable: 4512) // assignment operator could not be generated.#  pragma warning(disable: 4510) // default constructor could not be generated.#  pragma warning(disable: 4610) // can never be instantiated - user defined constructor required.#endif#include <iostream>#include <iomanip>#include <boost/math/distributions/fisher_f.hpp>void f_test(       double sd1,     // Sample 1 std deviation       double sd2,     // Sample 2 std deviation       double N1,      // Sample 1 size       double N2,      // Sample 2 size       double alpha)  // Significance level{   //   // An F test applied to two sets of data.   // We are testing the null hypothesis that the   // standard deviation of the samples is equal, and   // that any variation is down to chance.  We can   // also test the alternative hypothesis that any   // difference is not down to chance.   // See http://www.itl.nist.gov/div898/handbook/eda/section3/eda359.htm   //   using namespace std;   using namespace boost::math;   // Print header:   cout <<      "____________________________________\n"      "F test for equal standard deviations\n"      "____________________________________\n\n";   cout << setprecision(5);   cout << "Sample 1:\n";   cout << setw(55) << left << "Number of Observations" << "=  " << N1 << "\n";   cout << setw(55) << left << "Sample Standard Deviation" << "=  " << sd1 << "\n\n";   cout << "Sample 2:\n";   cout << setw(55) << left << "Number of Observations" << "=  " << N2 << "\n";   cout << setw(55) << left << "Sample Standard Deviation" << "=  " << sd2 << "\n\n";   //   // Now we can calculate and output some stats:   //   // F-statistic:   double F = (sd1 / sd2);   F *= F;   cout << setw(55) << left << "Test Statistic" << "=  " << F << "\n\n";   //   // Finally define our distribution, and get the probability:   //   fisher_f dist(N1 - 1, N2 - 1);   double p = cdf(dist, F);   cout << setw(55) << left << "CDF of test statistic: " << "=  "      << setprecision(3) << scientific << p << "\n";   double ucv = quantile(complement(dist, alpha));   double ucv2 = quantile(complement(dist, alpha / 2));   double lcv = quantile(dist, alpha);   double lcv2 = quantile(dist, alpha / 2);   cout << setw(55) << left << "Upper Critical Value at alpha: " << "=  "      << setprecision(3) << scientific << ucv << "\n";   cout << setw(55) << left << "Upper Critical Value at alpha/2: " << "=  "      << setprecision(3) << scientific << ucv2 << "\n";   cout << setw(55) << left << "Lower Critical Value at alpha: " << "=  "      << setprecision(3) << scientific << lcv << "\n";   cout << setw(55) << left << "Lower Critical Value at alpha/2: " << "=  "      << setprecision(3) << scientific << lcv2 << "\n\n";   //   // Finally print out results of null and alternative hypothesis:   //   cout << setw(55) << left <<      "Results for Alternative Hypothesis and alpha" << "=  "      << setprecision(4) << fixed << alpha << "\n\n";   cout << "Alternative Hypothesis                                    Conclusion\n";   cout << "Standard deviations are unequal (two sided test)          ";   if((ucv2 < F) || (lcv2 > F))      cout << "NOT REJECTED\n";   else      cout << "REJECTED\n";   cout << "Standard deviation 1 is less than standard deviation 2    ";   if(lcv > F)      cout << "NOT REJECTED\n";   else      cout << "REJECTED\n";   cout << "Standard deviation 1 is greater than standard deviation 2 ";   if(ucv < F)      cout << "NOT REJECTED\n";   else      cout << "REJECTED\n";   cout << endl << endl;}int main(){   //   // Run tests for ceramic strength data:   // see http://www.itl.nist.gov/div898/handbook/eda/section4/eda42a1.htm   // The data for this case study were collected by Said Jahanmir of the   // NIST Ceramics Division in 1996 in connection with a NIST/industry   // ceramics consortium for strength optimization of ceramic strength.   //   f_test(65.54909, 61.85425, 240, 240, 0.05);   //   // And again for the process change comparison:   // see http://www.itl.nist.gov/div898/handbook/prc/section3/prc32.htm   // A new procedure to assemble a device is introduced and tested for   // possible improvement in time of assembly. The question being addressed   // is whether the standard deviation of the new assembly process (sample 2) is   // better (i.e., smaller) than the standard deviation for the old assembly   // process (sample 1).   //   f_test(4.9082, 2.5874, 11, 9, 0.05);   return 0;}/*Output:____________________________________F test for equal standard deviations____________________________________Sample 1:Number of Observations                                 =  240Sample Standard Deviation                              =  65.549Sample 2:Number of Observations                                 =  240Sample Standard Deviation                              =  61.854Test Statistic                                         =  1.123CDF of test statistic:                                 =  8.148e-001Upper Critical Value at alpha:                         =  1.238e+000Upper Critical Value at alpha/2:                       =  1.289e+000Lower Critical Value at alpha:                         =  8.080e-001Lower Critical Value at alpha/2:                       =  7.756e-001Results for Alternative Hypothesis and alpha           =  0.0500Alternative Hypothesis                                    ConclusionStandard deviations are unequal (two sided test)          REJECTEDStandard deviation 1 is less than standard deviation 2    REJECTEDStandard deviation 1 is greater than standard deviation 2 REJECTED____________________________________F test for equal standard deviations____________________________________Sample 1:Number of Observations                                 =  11.00000Sample Standard Deviation                              =  4.90820Sample 2:Number of Observations                                 =  9.00000Sample Standard Deviation                              =  2.58740Test Statistic                                         =  3.59847CDF of test statistic:                                 =  9.589e-001Upper Critical Value at alpha:                         =  3.347e+000Upper Critical Value at alpha/2:                       =  4.295e+000Lower Critical Value at alpha:                         =  3.256e-001Lower Critical Value at alpha/2:                       =  2.594e-001Results for Alternative Hypothesis and alpha           =  0.0500Alternative Hypothesis                                    ConclusionStandard deviations are unequal (two sided test)          REJECTEDStandard deviation 1 is less than standard deviation 2    REJECTEDStandard deviation 1 is greater than standard deviation 2 NOT REJECTED*/

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