Hello Ma’am, may I know how to properly interpret Cramer’s V? Is the following interpretation proper? 0 to .1 little if not association .1 to .3 low association .3 to .5 moderate association Above .5 high association
i need your help...can you plz tell me what should i do further if at the end it says 60% or 70% have expected count less than 5 in 3 by 4 table. Plz help me
i was trying to calculate chi square test for 2*3 table but the result showed that one cell had frequency less than 5...whuch test has to be used to correct it???
Dude, .05 is the level of significance. This value comes when we want our 95% of data to be correct i.e. 0.95 i.e. we are okay with 5% of error i.e 0.05. That is why we take 0.05. If the p- value is greater than 0.05 it's likely to be called as the values are not statistically significant and vice versa.
in statistics whenever we run analysis, there is a possibility of "by chance" occurrence of relationships. there are two kinds of error; type1 and type2. At 0.05 p values both types of errors are compensated. if we move p-value up (0.06 or 0.07 0r 0.08 etc.) then we have increased the chance to get a false correlation (which means the in actual the relation was not there) on the other hand if we decrease the p-value (0.04 or 0.03 or 0,02 etc,) then we may not get the correlation (but in actual the relation was there). So 0.05 has been accepted as a reasonable value of p to accept or reject the hypothesises. I hope you got your answer.
Profuse thanks for your clear explanation! Please i need your help; in my research study i will compare students' and teachers' attitudes towards grammar teaching...how to do so using chi square test please? i entered the students' data in an spss file and the teachers' data in another spss file since they don't share the same categorical variables,i mean for teachers the nominal variables are:gender,experience and area! while for students:gender, level,area & speciality! i hope i've well explained my question! Sorry for any disturbance & thanks in advance!
safa bougatfa Well first, you do not need to enter the data into different files. You can have both the student and teacher data in the same file. Just add another variable in your data file that will state whether the subject is a student or teacher (e.g., 1 = student, 2 = teacher). If the student does not have the same data as the teacher then you would not put anything into that cell (i.e., the data would be "missing"). If you want to simply compare students' and teachers' attitudes towards grammar teaching using a chi-square you would need to put teacher and student data together. That way, one of the variables you would put in your chi square would be the teacher variable (e.g., 1 = student, 2 = teacher). The next variable would be your attitude towards grammar teaching, assuming that this is a categorical variable. So this would assess if there is a relationship between teacher (e.g., 1 = student, 2 = teacher) and attitude towards grammar teaching. If you want to do anything more than this then you would probably need to use a more advanced statistical analysis. Hope this helps!
Great explanation amazing! 💯
Hi. Do we still report the effect size if the null hypothesis is retained? Thank you in advance!
If the p value is higher, then. .05, does this mean that the starbucks drinks differ from eachother?
hello: how do you enter the expected values?
yes ,thank u
very useful
Please Can we use or click on the chi-square test if we do crosstab for 2 ordinal variables? Thank you
Hello Ma’am, may I know how to properly interpret Cramer’s V? Is the following interpretation proper?
0 to .1 little if not association
.1 to .3 low association
.3 to .5 moderate association
Above .5 high association
what should we do after the data violated the the assumptions? can we still take the chii-square value or proceed to another test?
me too thinking same
@@lifewithAysha use the Likelihood ratio in this scenario or a Fischer's exact test for a 2x2 table..
hi its not clear to me the last part of expected count the text says 3 how did you get that
i need your help...can you plz tell me what should i do further if at the end it says 60% or 70% have expected count less than 5 in 3 by 4 table. Plz help me
Same doubt.. Please clarify
i was trying to calculate chi square test for 2*3 table but the result showed that one cell had frequency less than 5...whuch test has to be used to correct it???
Try fishers exact
why did you compare p value with 0.5? why this 0.5 took for comparison?
Dude, .05 is the level of significance. This value comes when we want our 95% of data to be correct i.e. 0.95 i.e. we are okay with 5% of error i.e 0.05. That is why we take 0.05. If the p- value is greater than 0.05 it's likely to be called as the values are not statistically significant and vice versa.
in statistics whenever we run analysis, there is a possibility of "by chance" occurrence of relationships. there are two kinds of error; type1 and type2. At 0.05 p values both types of errors are compensated. if we move p-value up (0.06 or 0.07 0r 0.08 etc.) then we have increased the chance to get a false correlation (which means the in actual the relation was not there) on the other hand if we decrease the p-value (0.04 or 0.03 or 0,02 etc,) then we may not get the correlation (but in actual the relation was there). So 0.05 has been accepted as a reasonable value of p to accept or reject the hypothesises. I hope you got your answer.
Profuse thanks for your clear explanation! Please i need your help; in my research study i will compare students' and teachers' attitudes towards grammar teaching...how to do so using chi square test please? i entered the students' data in an spss file and the teachers' data in another spss file since they don't share the same categorical variables,i mean for teachers the nominal variables are:gender,experience and area! while for students:gender, level,area & speciality! i hope i've well explained my question! Sorry for any disturbance & thanks in advance!
safa bougatfa Well first, you do not need to enter the data into different files. You can have both the student and teacher data in the same file. Just add another variable in your data file that will state whether the subject is a student or teacher (e.g., 1 = student, 2 = teacher). If the student does not have the same data as the teacher then you would not put anything into that cell (i.e., the data would be "missing"). If you want to simply compare students' and teachers' attitudes towards grammar teaching using a chi-square you would need to put teacher and student data together. That way, one of the variables you would put in your chi square would be the teacher variable (e.g., 1 = student, 2 = teacher). The next variable would be your attitude towards grammar teaching, assuming that this is a categorical variable. So this would assess if there is a relationship between teacher (e.g., 1 = student, 2 = teacher) and attitude towards grammar teaching. If you want to do anything more than this then you would probably need to use a more advanced statistical analysis. Hope this helps!
Easy Statistics Now Thanks a million! I do appreciate your kind help.