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Owner: lrrivera85
Created: Jun 13, 2013
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Professional Development Report
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Society is very diverse in many things, it includes socioeconomically, educationally, and in their perspectives in  their need to further their education. The purpose of this survey was to get a snapshot on the education level along with the income within the population. Overall, it had an intention to show the difference in income between those with different educational levels. An interesting aspect of the survey is that it shows the motivation to continue professional development by means of furthering their degrees beyond what was initially achieved.

Data set 1. Professional Development 2013 data final2   [Info]
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The population varied in age, educational level, and income. The sample was collected from various kinds of people; co-workers, friends, people walking in the park, down the street, and at a local bakery were all part of the sample . The collection process was done through face to face interview.


The Surveys consisted of the four following questions:


Do you plan to further your degree?


What is your highest education level?


What is your age (years)?


What is your annual salary ($)?


Looking at a Categorical Variable


based on the question "What is your highest education level?" looked as following:


Result 1: Pie Chart With Data   [Info]
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The results show that 31.03% of the 100 people had a bachelors' degree. 25% had obtained an associate, 24.14% completed their high school or GED only, 2.59% and 15.52% of the sample pursued a doctorate and a master degree respectively. 1.72% had no education past their High School education.


Result 2: Bar Plot With Data   [Info]
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This graph shows that there is an overall higher percentage among those with an associate and bachelors degrees to continue their education. Those with more education, tend to want to further thier careers.  Overall, those that desire to continue or further their education are higher than the amount of individuals who will settle with their current degree.


Looking at a Numerical Variable


The numerical variable focuses on asking the age by this question: What is your age (years)?


The histogram, box plot, and summary below displays the ages of those surveyed.


Result 3: Histogram- age   [Info]
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Result 4: Boxplot- age   [Info]
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Result 5: Summary Stats-age   [Info]
Summary statistics:
Column n Mean Variance Std. Dev. Std. Err. Median Range Min Max Q1 Q3
age 116 38.594828 147.87789 12.160505 1.1290746 38 52 18 70 28.5 46.5


From the graphs displayed, we see that the box plot shows no outliers that affect the results. In addition, the histogram seems to be skewed to the right, with a mean of 38.594 for those 116 people surveyed and a median of 38 being very closed to the mean but in right skewed shaped histogram it is typical for the mean to be larger.


The minimum age was 18 years old and oldest or maximum age was 70 with a midrange of 59. The standard deviation between the data was 12.16 and the Quartiles were Q1 was 28.5 and Q3 46.5. The range of 52 shows the wide numbers of ages present in this survey. The IQR is 18 (Q3-Q1) in this case (46.5-28.5). The Range/4 is 13 and it is approximated to the SD of 12.16.


Looking for a Relationship Between Two Numerical Variables


Based on the following questions, the Scatter plot shows the following visual results:


What is your age (years)?


What is your annual salary ($)?


Result 6: Scatter Plot- salary vs age   [Info]
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The scatter plot above shows a defitinite linear positive trend, with a few entries scattered.


The Correlation Coefficient is 0.48417971 as show in the Results attached below:


Result 7: Correlation age vs salary   [Info]
Correlation between age and salary is:


This results show that the absolute value of r ( 0.48417971 ) is more than .196 (from Table A-5). Therefore, there is a positive correlation between the age and the salary earned by those individuals


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