Question

In: Statistics and Probability

CHI SQUARE You are a brewery owner and you think there is a relationship between a...

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.

Solutions

Expert Solution

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.


Related Solutions

Chi-square determines if there is support for a relationship between variables by comparing: a. a sample...
Chi-square determines if there is support for a relationship between variables by comparing: a. a sample mean with a population mean. b. the mean of two research samples. c. observed frequencies and expected frequencies. d. observed frequencies and degrees of freedom.
The Chi-Square test of independence is used to determine if there is a significant relationship between...
The Chi-Square test of independence is used to determine if there is a significant relationship between two nominal categorical variables. The frequency of one nominal variable is compared with different values of the second nominal variable. The chi-squared goodness of fit test is appropriate when the following conditions are met: The sampling method is simple random sampling The variable under study is categorical The expected value of the number of sample observations in each level of the variable is at...
Perform a chi-square test to look at the relationship between region of the country (REGION) and...
Perform a chi-square test to look at the relationship between region of the country (REGION) and financial comfort (FCOMFORT). Using alpha = .05, what would you conclude from your test: a. Financial comfort differs depending on the area one lives in. b. People living in less expensive areas are more likely to report that they are financially comfortable. c. There is not a significant relationship between region and financial comfort. d. People living in the northeast region are most likely...
Below are hypothetical data on the relationship between sex and marital satisfaction. Conduct a chi-square test...
Below are hypothetical data on the relationship between sex and marital satisfaction. Conduct a chi-square test to example the association between these two variables. Be sure to show all steps, including writing your hypotheses, calculating expected frequencies for each cell, calculating the chi-square statistic, deciding whether to reject the null, and explaining what this decision means. Sex Marital Satisfaction Male Female Row Total Satisfied 309 255 564 Unsatisfied 107 278 385 Column Total 416 533 949
Chi-square analysis compares the counts of two categorical variables to tell you if a relationship exists...
Chi-square analysis compares the counts of two categorical variables to tell you if a relationship exists between the variables or not. You can apply chi-square analysis to answer important questions about factors in everyday life, and even about events like elections... or Halloween. If you are a character in a slasher film, is there a connection between your gender and your dying in some horrible manner? 1. Propose a life event or situation and two categorical variables for it. Complete...
what is the difference between chi square and z test?
what is the difference between chi square and z test?
Chi-Square Test for Independence Using Chi-Square, we are looking to see if there is a significant...
Chi-Square Test for Independence Using Chi-Square, we are looking to see if there is a significant difference between what we would expect results to be, and what the actual results were. That is, expected vs. observed.   Use alpha = .05 Listed below are data from a survey conducted recently where Males and Females responded to their happiness with their supervisor (this is fictitious data). Response Male Female Total Not at all 23 25 48 Somewhat 13 22 35 Very 26...
Chi-Square Test for Independence Using Chi-Square, we are looking to see if there is a significant...
Chi-Square Test for Independence Using Chi-Square, we are looking to see if there is a significant difference between what we would expect results to be, and what the actual results were. That is, expected vs. observed.   Use alpha = .05 Listed below are data from a survey conducted recently where Males and Females responded to their happiness with their supervisor (this is fictitious data). Response Male Female Total Not at all 23 25 48 Somewhat 13 22 35 Very 26...
Choose either the Chi Square Goodness of Fit test OR the Chi Square Test for Independence....
Choose either the Chi Square Goodness of Fit test OR the Chi Square Test for Independence. Give an example of a research scenario that would use this test, including your hypothesis AND what makes the test suitable for your variables chosen
Chi Square Test We will now use Excel to run an example of a chi square...
Chi Square Test We will now use Excel to run an example of a chi square test. Chi square test is checking the independence of two variables. Our example will test if taking hormonal pills and being overweight are related. We will test the independence on 200 random patients. Thus, N=200. They will be divided first into two groups, those who take hormonal pills and those who do not. Second, they will be divided into three groups based on weight,...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT