Deliverable 7 – statistical analysis report
Introduction:
- A brief overview of the variables and the scenario in the data set
There has been an increase of patients with specific infectious diseases admitted at the NCLEX Memorial Hospital. Data collected include the client number and the infection status of each patient.
Analysis:
- The mean, median and mode are discussed, as well as the standard deviation and variance.
Average: The average age for the patient data is 47.2 years.
The median age for the patient data is 48.
Age 50 is the mode. It appears two times in the data.
Data set: This data set contains 41 different ages, from 22 years to 63.
Standard deviation (standard deviation): The age distribution standard deviation is 13,45. This indicates a modest amount of variation in the patient’s ages.
Age distribution: the variance is 180.95.
- The 95% Confidence Interval: Discussion, Construction, and Interpretation
With a confidence level of 95 percent, the range for mean patient age is between 42.81 years and 51.59. It means that 95% of the time, we are confident that this is indeed the age range for patients who have this infection.
- Explaining the Full Hypothesis test
The hypothesis test will determine whether the age mean of patients suffering from this infection is different than the age mean for the general population. Our null hypotheses is that patients with the infectious disease have the same mean age as the general population. And our alternative hypothesis, that patients with the infectious disease are older than the general population.
Assuming that 0.05 was the significance level, we performed a 2-tailed t test on our data. We obtained a t-value of 1.87 which was not significant when compared to the level of 0.05. Therefore, the null hypotheses cannot be rejected.
Conclusion:
- Summary and recommendations
According to our analysis, the mean age for patients suffering from this infection is similar to the median age in the population. The age of patients is moderately varied, with a 41-year range. Further research is needed to determine any possible risk factors that may be associated with the infectious disease.