In: Statistics and Probability
CHI SQUARE
You are a brewery owner and you think there is a relationship between a customer’s gender and the type of beer they order. You collect the following data from the next 30 customers that enter your bar:
Gender          
            Type of
Beer
Male          
           
    Dark
Male          
           
    Regular
Male          
           
    Regular
Female          
           
    Light
Female          
           
    Light
Male          
           
    Dark
Female          
           
    Dark
Female          
           
    Light
Female          
           
    Light
Male          
           
    Dark
Male          
           
    Dark
Female          
           
    Light
Female          
           
    Light
Male          
           
    Dark
Female          
           
    Regular
Female          
           
    Light
Male          
           
    Dark
Male          
           
    Light
Female          
           
    Regular
Male          
           
    Regular
Female          
           
    Regular
Male          
           
    Dark
Male          
           
    Regular
Male          
           
    Regular
Female          
           
    Light
Female          
           
    Light
Male          
           
    Light
Female          
           
    Light
Female          
           
    Regular
Male          
           
    Regular
Please state your null hypothesis and alternative hypothesis in
your own words. After you run the data through SPSS, please write
up the results in the correct APA style.
The SPSS output is:

The hypothesis being tested is:
H0: There is no relationship between a customer’s gender and the type of beer they order
Ha: There is a relationship between a customer’s gender and the type of beer they order
The test statistic is 92.537.
The p-value is 0.0000.
Since the p-value (0.0000) is less than the significance level (0.05), we can reject the null hypothesis.
Therefore, we can conclude that there is a relationship between a customer’s gender and the type of beer they order.