The easiest way to analyze your data is to set up a data table with a separate row for every worm. In one column enter the day on which the eggs were laid. For those worms that did not lay eggs by the end of the study, enter 40 for the number of days. Create another column. Call it what you like. Enter one of two values (e.g., 0 and 1) in the new column to indicate if the number of days for an observation of an actual egg laying event (e.g. 0 for uncensored) or not (e.g., 1 for censorerd). Then select Analyze > Reliability and Survival > Life Distribution. Select the column with the number of days and click Y, Time to Event. Select the second column with the censor indicator values and click Censor. Click the red triangle after Censor Code on the left of the dialog to indicate the value that you used for censored observations. Click OK.
Use the check boxes before the model name on the left side of the plot to fit a distributional model to your data. Note that only uncensored events are shown in this plot. Use the radio buttons after the model name to select axes that should linearize the non-parametric mid-point estimates if the model is a good approximation.
After you select a model, then use the reports below to extract information about the time to laying eggs.
