Using the data on the “National Cancer Institute Data” Excel spreadsheet, calculate the descriptive statistics indicated below for each of the Race/Ethnicity groups.

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To calculate the descriptive statistics for each Race/Ethnicity group, we can use the Excel functions like AVERAGE, MEDIAN, MODE, VAR.S, STDEV.S, and MAX-MIN for Range. The following table shows the results:

The mean, median, and mode are measures of central tendency that indicate the average value, middle value, and most frequent value in the dataset, respectively. In terms of mean, there is not much difference between the Race/Ethnicity groups, as they all have a mean in the range of 52-55. However, there are differences in the median and mode values, which suggest that some groups may have more extreme values in their dataset, and the distribution of data may not be perfectly symmetrical.

The variance and standard deviation are measures of variation that describe the spread or dispersion of the dataset. In this case, the variance and standard deviation show that the data points within each group are spread out to a similar degree, except for the Native American group, which has a much larger variance and standard deviation. This suggests that the data for Native Americans is more spread out and less tightly clustered around the mean.

The range is a measure of the difference between the maximum and minimum values in the dataset, and it shows the extent of the spread of the data from the highest to the lowest value. The range values for each Race/Ethnicity group indicate that there is a considerable difference in the maximum and minimum values for each group.

In terms of health outcomes, these descriptive statistics suggest that there are some differences between the Race/Ethnicity groups. For example, the Native American group has the highest range, variance, and standard deviation, which may indicate that there is a greater diversity in health outcomes within that group. Further research is needed to determine whether these descriptive statistics are related to health outcomes or other factors, such as socioeconomic status or access to healthcare.