Statistical significance testing

Chi-squared test for contingency table from original data

Confidence level

0.9 0.95 0.98 0.99

Digits after decimal point

Paste two columns of data to be analysed in the space below. The first is observations on a single risk factor while the second column is corresponding observations of a disease (or other) outcome of interest. Include a header row of column identifiers.
Download example data

Submit

Undertake a chi-squared test on a contingency table created from original data.

Inputs are:

• the desired level of confidence in the estimate;
• the desired precision of the results; and
• two columns of data. The first column is observations on a single risk factor while the second column is corresponding observations of a disease (or other) outcome. Include a header row of column identifiers.

Outputs include:

• the table of observed counts, with row and column totals;
• a table of row proportions (each cell as a proportion of the corresponding row total), with row totals;
• chi-squared statistic, degrees of freedom and corresponding P-value; and
• a stacked bar chart of cell frequencies for each column category in each row category.

Additional outputs are included if there are only two columns of data (column variable is dichotomous) - table and graph of proportions (as a proportion of row total) and associated confidence limits for the first column in each row.