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Owner: bogando05
Created: Mar 1, 2016
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Module 5/6 - Creating Inferential Statistics Report
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1: Introduction


a:

I belong to group 1 – the majority of the group member currently worked or had worked in the past in the health field. One of the things that caught our attention was the following question.

After how many hours worked and patients seen does it affect how you built rapport with your patients?  We have realized that one of the main points that affects the relationship between having rapport with your patients or having a disconnect is “exhaustion”. And so we were interested in seeing if there was any correlation between long hours/high number of patients and your “tone” towards your patients.

The following questions were asked to the following: Physicians, Nurses, Paramedics, CNAs, Techs.


b:

1: How many hours a week do you work at your job?

2: How many patients do you deal with in a day?

3: Do you get to access the well-being of your patients after they are discharged? Y/N

4: How would you rate your tone with patients? Friendly/Professional/Highly professional?

II: LOOKING AT CATEGORIAL VARIABLE

Do you get to access the well-being of your patients after they are discharged? Y/N

 Right click to copy

 From the pie chart above, we are able to determine that 47.5% had a friendly tone, copared with 35% professional tone.

b.
Result 2: One sample Proportion with summary


90% confidence interval results:
Outcomes in : Access to pt's well being after DC?
Success : YES
p : Proportion of successes
Method: Standard-Wald

VariableCountTotalSample Prop.Std. Err.L. LimitU. Limit
Access to pt's well being after DC? 31 79 0.39240506 0.05493648 0.30204259 0.48276753

Here we see the 90% confidence interval results that covers this question as answered YES " do you have access to the well-being of your patients after they have been dc?.

what does the 90% confidence interval means? it means that if we selected any other sample with a size of n-79 - we can stimate that approximately 90% of them would contain the true proportion p.

we are 90% sure that of our population woudl answer yes to this question is between 0.3020 to 0.4828

The error term is E=(0.4828-0.3924)/2=0.045/2=0.023

III: LOOKING AT NUMERICAL VALUES

Right click to copy

 

Summary statistics:

ColumnnMeanVarianceStd. dev.Std. err.MedianRangeMinMaxQ1Q3
# of Hrs worked a wk? 80 32.5875 385.86566 19.643464 2.196206 36 77 3 80 9.5 42.5

99% confidence interval results:
μ : Mean of variable

Interpretation of the confidence interval : A 99% confidence interval means that if we selected a sample the size of n=79, approx 99% of these samples would result in confidence intervals that contains the true proportion mean .

we can say we are 99A% sure that the average worker in the healthfield has worked between 3 hr and 80 hr a week.

The t-distribution was used because the population standard deviation is unknown.

(information on how to expplain results was gathered from samples provided)

VariableSample MeanStd. Err.DFL. LimitU. Limit
# of Hrs worked a wk? 32.5875 2.196206 79 26.790604

38.384396

 

 

HTML link:
<A href="https://www.statcrunch.com/5.0/viewreport.php?reportid=57486">Module 5/6 - Creating Inferential Statistics Report</A>

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