t test is used when-
a) variables are studied
b)the size of sample is a small one.(n<30)
chi square test is studied when
a) attributes are studied
yes it is
They are applicable in different circumstances.
No.
Assumed that there is no relationship between variables.
The Chi-squared statistic can be used to test for association.
The larger the difference, the larger the value of chi-square and the greater the likelihood of rejecting the null hypothesis
yes it is
ANOVA is a statistical test of whether the means of several groups are all equal. The chi-square test of association is used to test the null hypothesis that there is no association between two nominal scale variables. It does not require a distinction between independent and dependent variables.
They are applicable in different circumstances.
The chi-square test is pronounced "keye-skwair" test.
none
No.
A paired t-test is used to compare the means of two related groups, while a chi-square test is used to determine if there is a significant association between two categorical variables. You would choose a paired t-test when comparing means of related groups, such as before and after measurements. You would choose a chi-square test when analyzing categorical data to see if there is a relationship between the variables.
A two-sample t-test is used to compare the means of two independent groups, while a chi-square test is used to determine if there is a relationship between two categorical variables. The t-test helps determine if there is a significant difference in means, while the chi-square test helps determine if there is a significant association between variables. Both tests are important tools in statistical analysis for making inferences about populations based on sample data.
It enables us to tell the difference between observed and expected frequencies objectively as it is practically impossible to tell the difference just by looking at the data.
A Chi-square table is used in a Chi-square test in statistics. A Chi-square test is used to compare observed data with the expected hypothetical data.
A chi-square test is used when analyzing categorical data, such as comparing proportions or frequencies between groups. On the other hand, a t-test is used when comparing means between two groups. So, use a chi-square test when dealing with categorical data and a t-test when comparing means.