1165 WordsJul 28, 20145 Pages

Probability and Distributions
Abstract
This paper will discuss the trends and data values and how they relate to statistical terms. Also will describe the probability of different actions to the same group of data. The data will be broke down accordingly to qualitative and quantitative data, and will be grouped and manipulated to show how the data in each group can prove to be useful in the workplace.
Memo To: Head of American Intellectual Union From: Abby Price Date: 3/05/2014 Subject: Data analysis from within the union’s surveys Dear Dr. Common:
I will be analyzing data given to me which was taken from a survey within the union from 186 employees. I will discuss probability and how its information is important*…show more content…*

In the case of the survey it is even at 50% male and 50% female, out of 186 employees there are 93 of each gender. With data it can be much easier to look at just a portion of that data on a table rather than trying to look at the whole data set. When presenting the data, using a distribution table you can include charts and graphs to better understand the data being presented.
Distribution of Individuals by Gender Gender | Percentage | Females | 50% | Males | 50% |
Tenure with Company Distribution by Gender | Under 2 years | 2-5 Years | Over 5 years | Male | 34 | 35 | 24 | Female | 49 | 16 | 28 |
Percentage of the Survey Participants in Each Department Department | Percentage | Information Technology | 34% | Human Resources | 30% | Administration | 37% |
Sample Mean for Extrinsic Value by Gender Gender | Mean Extrinsic Value | Male | 5.16 | Female | 5.07 |
Probabilities The first probability I will be figuring is the probability of a person being 16-21 years of age. The Second figure will show the probability of an individual’s overall satisfaction score of a 5.2 or lower. The third calculation I will be doing is finding the probability of a female working in the human resource department. Lastly I will show the probability of a salaried employee having an intrinsic score of 5 or more.
Classification | Count | Probability | Probability that an individual will be between 16–21 years of age | 61 | .32 |

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