I. Introduction :
Group 1 conducted a survey to determine if different levels of nursing education effected the hours that were worked by that nurse in a week and if it effected the type of work they do, such as working directly in patient care. We also wanted to know the ages between the varying levels of education. The population we sampled was working nurses. We obtained responses by surveying randomly selected nurses we work with, know, or have come across. The sample consists of 135 responses.
The following were the answered survey questions:
1. In a typical week, how many hours do you work? _____hours
2. How many years of experience do you have as a nurse? ______years
3. Do you spend a majority of your time providing direct patient care? Select one: Yes No
4. What is your education level? Select one: LVN/LPN ADN BSN MSN DNP other
II. Looking at a Categorical Variable
a. Collected responses to the question “Do you spend the majority of your time providing direct patient care?” is displayed in the pie chart below.
We are able to determine that out of the 135 responses 112 nurses, or 82.96%, do work directly with patients while 23, or 17.04%, do not.
b.
One sample proportion summary confidence interval:
p : Proportion of successes Method: StandardWald 95% confidence interval results:

Confidence interval use a range of values from the sample to determine the true population parameter. We can see our proportion summary results in the chart above determined by a 95% confidence interval for the surveyed group that answered “yes they do work directly with patient care". With a sample size n=135 we can interpret that we are 95% confident that the interval from 0.766 to 0.893 contains the population proportion p and 95% of selected samples will also contain the population proportion p.
III. Looking at a Numerical Variable
a. Looking at the question “ how many years’ experience do you have” we can analyze the results by the histogram and summary statistics below.
Summary statistics:

b. When developing a confidence interval for a population mean, the results based on our sanoke are as shown below.
One sample T confidence interval:
μ : Mean of variable 95% confidence interval results:

Based upon the results shown, we can conclude that we are 95% confident that the results of our sample contains the true proportion mean; we are 95% confident that the average nurse has between 8 and 11 years’ experience. a T interval was used based upon the fact that the population standard deviation was not known.
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