Output 1. Descriptive Results
- The band inside the box is the median
- The box measures the difference between 75th and 25th percentiles
- Outliers will be in red, if existing
- Normal Q–Q Plot: to compare randomly generated, independent standard normal data on the vertical axis to a standard normal population on the horizontal axis. The linearity of the points suggests that the data are normally distributed.
- Histogram: to roughly assess the probability distribution of a given variable by depicting the frequencies of observations occurring in certain ranges of values
- Density Plot: to estimate the probability density function of the data
Normal Q–Q plot
Histogram
When the number of bins is 0, plot will use the default number of bins
Density plot
Output 2. Test Results
- P Value < 0.05, then the population of the data IS significantly different from the specified mean. (Accept the alternative hypothesis)
- P Value >= 0.05, then the population of the data IS NOT significantly different from the specified mean. (Accept the null hypothesis)
Because P < 0.05, we concluded that the age of the lymph node-positive population was significantly different from 50 years old. Thus the general age was not 50. If we reset the specified mean to 44, we could get P > 0.05