Chi-Square Test

ExamplesChi-Square TestChi-Square Test1Business Research Methods1The sales manager of a showroom feel that the daily demand of a product follows uniform distribution. The observed frequencies of demand values are given in the table below. Check whether the given data follows uniform distribution at a significance level of 5%.

Demand and FrequencyDemand (units)30313233343536373839Observed Frequency1310710691210149Chi-Square Test2Business Research Methods2Eight coins were tossed 256 times and the following results were obtained:

Test whether coins are biased using chi-square test.

Number of Heads012345678Frequency 263052675632101Chi-Square Test3Business Research MethodsYates CorrectionYates has suggested a correction for the continuity in calculated chi-square value in connection with (2x2) table particularly when cell frequency are small (since no cell frequency should be less than 5 in any case, though 10 is better) and chi-square is just on the significance level.

Chi-Square Test4Business Research MethodsExample The following information concerning an investigation of 50 ordinary shops of small size:

Can it be inferred that shop run by women are relatively more in villages than in towns, use chi-square with Yates correction?

Shops In Town (a)In Village (b)TotalRun by Men (A)171835Run by Women (B)31215Total203050Chi-Square Test5Business Research Methods