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Created: Apr 22, 2013
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Stat Crunch Project 4 (Erika Garza)
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Erika Garza

My report is on 10 different salaries of Registered Nurses.

The goal of this project is to show a building confidence interval, to learn the bootstrapping method, the different percentiles, and to understand histogram of the data.

This data was collected from The salary is made in thosands.

Data set 1. Data Set for Project 4   [Info]
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The histogram is bell shaped which means it is normal.

Result 1: Histogram project 4   [Info]
Right click to copy

Below is the raw data of the mean and standard deviation.

Result 2: Column Statistics-mean (1st one)   [Info]
Summary statistics:
Column n Mean Std. Dev.
Mean 1000 87.2869 5.430502

Below is the bootstrap sample. When comparing the raw data with the bootstrap data the mean and standard deviation are similar.

Result 3: Column Statistics-mean (2nd one)   [Info]
Summary statistics:
Column n Mean Std. Dev. Std. Err.
Salary 10 87.4 18.337576 5.7988505

 Below the data shows the 2.5 percentile and 97.5 percentile.

Result 4: Column Statistics-percentile 2.5-97.5   [Info]
Summary statistics:
Column 2.5th Per. 97.5th Per.
Mean 78.6 99.65

 The 2.5 percentile and 97.5 percentile are similar to the upper and lower bound. They are very close. 

Result 5: One sample T statistics with data 95%   [Info]
95% confidence interval results:
μ : mean of Variable
Variable Sample Mean Std. Err. DF L. Limit U. Limit
Salary 87.4 5.7988505 9 74.28209 100.517914

The following simulation shows 1,000 repetitions of the bootstrap.

Result 6: Bootstrap a statistic project 4   [Info]


HTML link:
<A href="">Stat Crunch Project 4 (Erika Garza)</A>

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