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Created: Jan 17, 2016
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Week 1
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1-1

Listed below is a pie chart reflecting Insurance Coverage by high income.

Result 1: 0104 Insurance Coverage Pie Chart High   [Info]
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Listed below is a pie chart reflecting Insurance Coverage by low income.

Result 2: 0104 Insurance Coverage Pie Chart Low   [Info]
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Based on reviewing both pie charts, you can easily see that lower incomes are more likely to have either no coverage or Medicare when compared to those with high income.

 

1-2

Below are side-by side boxplots and histograms. Both display a skewed-right distribution for both men and women with men having a strongly skewed-right distribution with a group of outliers from 35-65 minutes resulting in a larger sample mean for men.

Result 3: 0105 Time to Relief Boxplot Gender   [Info]
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Result 12: 0105 Time to Relief Histogram Gender   [Info]
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Result 4: 0105 Time to Relief Confidence Interval Gender   [Info]
95% confidence interval results:
Group by: Gender
μ : Mean of Times
GenderSample MeanStd. Err.DFL. LimitU. Limit
Female15.1132081.20493075212.69533717.531078
Male15.9850751.60892646612.77274919.1974

We are 95% confident that the mean time to relief for women is between 12.7 and 17.5 minutes while the mean time to relief for men is between 12.8 and 19.2 minutes.

 

1-3

Result 5: 0106 Bacterial Count on Scrubs Boxplot   [Info]
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These results suggest that the amount of bacteria increases throughout.

Result 6: 0106 Bacterial Count on Scrubs Confidence Interval   [Info]
95% confidence interval results:
Group by: Time of Day
μ : Mean of Bacterial Count
Time of DaySample MeanStd. Err.DFL. LimitU. Limit
Start of Day14.6842111.14721281812.27400617.094415
End of Day26.7368421.15430061824.31174629.161938
Before Lunch21.1578951.37281818.27374924.042041
After Lunch25.8947371.14681031823.48537828.304096

We are 95% confident that the mean bacterial count at the start of the day is between 12.27 and 17.09 compared to the end of the day which has a mean bacterial count between 24.31 and 29.16.

 

1-4

a. Below is a box plot representing age and prior surgery.

Result 7: 0107 Tracheal Carina Resections Prior Surgery Boxplot   [Info]
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This suggests that the younger the patient is at the time of surgery, the more likely they would be to have additional surgery.

b.

Result 8: 0107 Tracheal Carina Resections Intubation Pie Chart   [Info]
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Based on these results, there could be some confounding due to their being a greater percentage of intubated patients in the sample that had prior surgery.

c. 

Result 9: 0107 Tracheal Carina Resections Proportion Death Prior Surgery   [Info]
Hypothesis test results:
p1 : Proportion of successes (Success = Yes) for Death where "Prior Surgery"=Yes
p2 : Proportion of successes (Success = Yes) for Death where "Prior Surgery"=No
p1 - p2 : Difference in proportions
H0 : p1 - p2 = 0
HA : p1 - p2 ≠ 0
DifferenceCount1Total1Count2Total2Sample Diff.Std. Err.Z-StatP-value
p1 - p2634111010.0675596970.0657806921.02704450.3044

In this hypothesis test, it shows no evidence (p-value=.3044) that there is a relationship between the survival rate and prior surgery.

Result 10: 0107 Tracheal Carina Resections Death Intubation   [Info]
Hypothesis test results:
p1 : Proportion of successes (Success = Yes) for Death where Intubated=Yes
p2 : Proportion of successes (Success = Yes) for Death where Intubated=No
p1 - p2 : Difference in proportions
H0 : p1 - p2 = 0
HA : p1 - p2 ≠ 0
DifferenceCount1Total1Count2Total2Sample Diff.Std. Err.Z-StatP-value
p1 - p2112061150.497826090.0803775316.1935976<0.0001

In this hypothesis test, it shows that there is enough evidence (p-value<.0001) to conclude that intubation is associated as a greater risk of death.

d. 

Result 11: 0107 Tracheal Carina Resections Confidence Interval   [Info]
95% confidence interval results:
Outcomes in : Death
Success : Yes
Group by: Intubated
p : Proportion of Successes
IntubatedCountTotalSample Prop.Std. Err.L. LimitU. Limit
No61150.0521739130.0207368180.0115304970.092817329
Yes11200.550.111242980.331967770.76803223

This suggests that the death rate for intubated patients in more than 33% while th edeath rate for non-intubated patients is less than 10%. The need for intubation appears to be an indicator of a greater risk of death.

HTML link:
<A href="https://www.statcrunch.com/5.0/viewreport.php?reportid=50832">Week 1</A>

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By brittanie.mccoy565
Aug 24, 2015

As far as having "constructive comments" I don't have much! Your first report looks great and just like we were instructed to do. The only suggestion I have would be on your bacterial counts box plot to put the times of day in order from start to finish for easier analysis. Great job!
By nku.katie.waters
Aug 19, 2015

Hi Kerri - Great job on your first report! Your StatCrunch output looks great!

Always Learning