Is chi-square only for 2×2?

Only chi-square is used instead, because the dependent variable is dichotomous. So, a 2 X 2 (“two-by-two”) chi-square is used when there are two levels of the independent variable and two levels of the dependent variable. This might be called a test of homegeneity because we are testing whether two groups are the same.

What is a 2×4 contingency table?

Before we analyze these data, let’s define: a table of counts with for example 2 rows and 4 columns as at the bottom of p. 390 is called a 2×4 contingency table (CT) made up of 8 cells. The numbers in the center of the table are joint frequencies and those in the row and column totals are the marginal totals.

Can chi-square be more than 2×2?

The following rule of thumb (for tables larger than 2×2) is from a well-known textbook: The chi-square approximation is good if “no more than 20% of the expected counts are less than 5 and all individual expected counts are 1 or greater” (Yates, Moore & McCabe, 1999, p.

What is the sample size requirement of 2×2 table by a chi square test?

Most recommend that chi-square not be used if the sample size is less than 50, or in this example, 50 F2 tomato plants. If you have a 2×2 table with fewer than 50 cases many recommend using Fisher’s exact test.

What can I use instead of a chi-square?

Another alternative to chi-square is Fisher’s exact test….

• All value in 2 x 2 table greater then or equal to 5, then you can use the chi-square test.
• Any one having in 2 x 2 table less than 5 then you will go to Fisher exact test.
• If any one cell having zero, then you have to do the Yates’ Chi-Square test.

What can I use instead of chi-square?

What is chi-square 2×2?

The 2 X 2 contingency chi-square is used for the comparison of two groups with a dichotomous dependent variable. We might compare males and females on a yes/no response scale, for instance. The contingency chi-square is based on the same principles as the simple chi-square analysis in which we examine the expected vs.

What comes after chi-square test?

Following a Chi-Square test that includes an explanatory variable with 3 or more groups, we need to subset to each possible paired comparison. When interpreting these paired comparisons, rather than setting the α-level (p-value) at 0.05, we divide 0.05 by the number of paired comparisons that we will be making.