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Smisexpt 4

The document is a C++ program that calculates the Chi-square statistic based on user-input observed and expected frequencies. It prompts the user for the number of terms, collects the frequencies, computes the Chi-square value, and compares it to a critical value to determine whether to accept or reject the null hypothesis. The program utilizes a vector of pairs to store the frequencies and includes necessary libraries for input/output and mathematical functions.

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Aashva Salelkar
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5 views2 pages

Smisexpt 4

The document is a C++ program that calculates the Chi-square statistic based on user-input observed and expected frequencies. It prompts the user for the number of terms, collects the frequencies, computes the Chi-square value, and compares it to a critical value to determine whether to accept or reject the null hypothesis. The program utilizes a vector of pairs to store the frequencies and includes necessary libraries for input/output and mathematical functions.

Uploaded by

Aashva Salelkar
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
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#include <iostream>

#include <vector>
#include <cmath> // For pow()
using namespace std;
int main() {
int n;
vector<pair<int, double> > data; // Changed expected frequency to double
// Input the number of terms
cout << "Enter the number of terms: ";
cin >> n;

// Input observed and expected frequencies


for (int i = 0; i < n; ++i) {
int ob;
double ex; // Expected frequency is now a double
cout << "Enter the observed frequency " << i + 1 << ": ";
cin >> ob;
cout << "Enter the expected frequency " << i + 1 << ": ";
cin >> ex;
data.push_back(make_pair(ob, ex));
}

// Display the items


cout << "Items: ";
for (size_t i = 0; i < data.size(); ++i) {
cout << "(" << data[i].first << ", " << data[i].second << ") ";
}
cout << endl;

// Calculate the Chi-square value


double chi = 0;
for (size_t i = 0; i < data.size(); ++i) {
int o = data[i].first;
double e = data[i].second;
chi += pow(o - e, 2) / e;
}

cout << "Calculated Chi-square: " << chi << endl;

// Input critical value


double critical_value;
cout << "Enter the critical value for chi-square test: ";
cin >> critical_value;

// Check if we reject or accept the null hypothesis


if (chi > critical_value) {
cout << "Reject the null hypothesis" << endl;
} else {
cout << "Accept the null hypothesis" << endl;
}
return 0; }

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