This video demonstrates how to conduct a Chi-Square Goodness of Fit Test in SPSS. Chi-Square Goodness of Fit Test compares observed frequencies to expected frequencies.
I can see why the Chi-Square Goodness of Fit Test could be useful. It was helpful to see it viewed in the bar graph. I liked that you can visually see the statistically significant difference within the graph.
So we can restrict a range so we can hone in on certain values like if we simply wanted to look at a certain portion of the values like the students that made A's and B's. Very interesting.
Chi-Square Goodness of Fit test seems useful to compare observed to expected data. I can see how this would be useful. Graphs are always nice ways to quickly see the results.
We can manipulate frequencies in order to determine goodness of fit between the two, I think I have a grasp so if p is greater then .05 there is no statistical difference. So we would accept null hypothesis. And if it is less then .05 there is a significant difference so we reject the null hypothesis.?
Hi Todd, I have a number of cells with an expected value less than 5. Can I keep using chi-square goodness test or should I use an alternative test? Thanks in advance
Hello Sir i have big confusion for my data if i have both the variable in form of nominal (in Categories form) can i use ANOVA , Independent t - test or any else. Sir plese make one tutorial for possible test for nominal variable (Both are in nominal form)
I worked with chi - squares in undergrad, and this was a very good refresher.
I can see why the Chi-Square Goodness of Fit Test could be useful. It was helpful to see it viewed in the bar graph. I liked that you can visually see the statistically significant difference within the graph.
+Amanda Sutton Colored coded bar graph. Nice!
+Amanda Sutton Agreed. Being able to see the statistically significant difference in the graph helped my visual brain.
Amazing video!!! Thanks
So we can restrict a range so we can hone in on certain values like if we simply wanted to look at a certain portion of the values like the students that made A's and B's. Very interesting.
Chi-Square Goodness of Fit test seems useful to compare observed to expected data. I can see how this would be useful. Graphs are always nice ways to quickly see the results.
We can manipulate frequencies in order to determine goodness of fit between the two, I think I have a grasp so if p is greater then .05 there is no statistical difference. So we would accept null hypothesis. And if it is less then .05 there is a significant difference so we reject the null hypothesis.?
How to do it for multivariate data. Like if I have one independant variable in nominal scale and multiple dependant variables in ordinal scale.
Hi Todd, I have a number of cells with an expected value less than 5. Can I keep using chi-square goodness test or should I use an alternative test? Thanks in advance
Is it acceptable to use this goodness of fit test on data that has two nominal variables to test the expected frequency of each variable?
Hi Todd, I have a query if HL test in logistic regression fails and chi-square goodness of fit is significant can i still use the results?
please inform we : how to put confidence level Likewise 5% ..in this video doesn't see the using of goodness of fit.
Hello Sir i have big confusion for my data if i have both the variable in form of nominal (in Categories form) can i use ANOVA , Independent t - test or any else. Sir plese make one tutorial for possible test for nominal variable (Both are in nominal form)
Normally for nominal data we don't use ANOVA or t test as they use mean and Standard difference as parameters.