Example of Bootstrapping for 2-Sample Means

A healthcare consultant wants to determine the difference in patient satisfaction ratings of two hospitals.

  1. Open the sample data, HospitalComparison.MTW.
  2. Open the bootstrapping for 2-sample means dialog box.
    • Mac: Statistics > Resampling > Bootstrapping for 2-Sample Means
    • PC: STATISTICS > Resampling > Bootstrapping > 2-Sample Means
  3. In Samples, enter Rating.
  4. In Sample IDs, enter Hospital.
  5. On the Options tab, enter 1 in Base for random number generator.
    Note

    Using Base for random number generator ensures that your results match the example.

  6. Click OK.

Interpret the results

The 95% CI indicates that the consultant can be 95% confident that the difference in population means of the patient satisfaction ratings of two hospitals is between 14.4 and 27.6. The histogram shows that the bootstrap distribution appears to be normal, so the consultant can trust the results.

Observed Samples
Hospital
N
Mean
StDev
Variance
Minimum
Median
Maximum
Difference in Observed Means
Bootstrap Samples for Difference in Means
Number of Resamples
Average
StDev
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