Complete the code to perform a chi-squared test on the table 'data_table'.
result <- chisq.test([1])The function chisq.test() requires a contingency table as input. Here, data_table is the correct variable representing the table.
Complete the code to extract the p-value from the chi-squared test result stored in 'result'.
p_value <- result$[1]The p-value of the chi-squared test is stored in the p.value element of the result object.
Fix the error in the code to correctly create a contingency table from vectors 'group' and 'outcome'.
table_data <- [1](group, outcome)The table() function creates a contingency table from categorical vectors.
Fill both blanks to perform a chi-squared test with continuity correction disabled on 'table_data'.
result <- chisq.test([1], [2]FALSE)
The first argument is the contingency table variable table_data. The parameter to disable continuity correction is correct=FALSE with no space around the equals sign.
Fill all three blanks to create a table from 'gender' and 'smoking' vectors, perform a chi-squared test, and extract the test statistic.
tab <- [1](gender, smoking) result <- chisq.test([2]) st <- result$[3]
data.frame instead of table.First, create the contingency table with table(). Then pass that table variable tab to chisq.test(). Finally, extract the test statistic with statistic.