Demographics Descriptive Analysis
Essay by Thinwa Mwai • October 23, 2018 • Case Study • 1,249 Words (5 Pages) • 698 Views
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For the demographics, the descriptive analysis discovered that the time (average time) for the generations was 3.694 and the standard deviation was 1.56. The average value was almost near the median value of the data indicating that there was a very high likelihood that there was normal distribution of data. The standard deviation high value however showed there was a great variation among the data variables. The education level averaged at level 3 and the standard deviation was 1.014. Since the range for the education level was 1 to 4, a mean of 4 indicated that data skewness was to the left. The standard deviation high value showed that there was great variation among the data variables. The distribution by first language was not balanced. This was because the mean value for the first language response was equal to 1.52 instead of 1.5. This was a clear indication that the language coded as 2 had a higher frequency value than that coded as 1. Once again the distribution based on gender was not balanced. This was because the mean value for the gender variable was equal to 1.722 showing that the gender coded as 2 had a higher frequency than that coded as 1. The distribution based on the manager status was also not balances as 1.889 was the mean value. The pay status was also not balanced. 1.9722 was the mean value with 1.667 as the standard deviation.
Descriptive Statistics | |||||
N | Minimum | Maximum | Mean | Std. Deviation | |
Generation | 36 | 1.00 | 6.00 | 3.6944 | 1.56423 |
Education | 36 | 1.00 | 4.00 | 3.0000 | 1.01419 |
First-languge | 36 | 1.00 | 2.00 | 1.5278 | .50631 |
Gender | 36 | 1.00 | 2.00 | 1.7222 | .45426 |
Mgr-Status | 36 | 1.00 | 2.00 | 1.8889 | .31873 |
Pay-Status | 36 | 1.00 | 2.00 | 1.9722 | .16667 |
Valid N (listwise) | 36 |
Majority of the respondents had acquired a graduate degree as revealed by the distribution analysis. This group had a frequency equal to 15 (41.7%) and was followed by those with college and university education levels with frequencies 9 (25%) each. Those with high school level of education were the least with a frequency of 3.
Education | |||||
Frequency | Percent | Valid Percent | Cumulative Percent | ||
Valid | High School | 3 | 8.3 | 8.3 | 8.3 |
College | 9 | 25.0 | 25.0 | 33.3 | |
University | 9 | 25.0 | 25.0 | 58.3 | |
Graduate degree | 15 | 41.7 | 41.7 | 100.0 | |
Total | 36 | 100.0 | 100.0 |
Majority used French as their first language.
First-language | |||||
Frequency | Percent | Valid Percent | Cumulative Percent | ||
Valid | English | 17 | 47.2 | 47.2 | 47.2 |
French | 19 | 52.8 | 52.8 | 100.0 | |
Total | 36 | 100.0 | 100.0 |
The analysis showed that females were more than the males in the sampled population. This was because the distribution was represented by frequencies equal to 10 (27.8% and 26 (72.2%) for the males and females respectively.
Gender | |||||
Frequency | Percent | Valid Percent | Cumulative Percent | ||
Valid | Male | 10 | 27.8 | 27.8 | 27.8 |
Female | 26 | 72.2 | 72.2 | 100.0 | |
Total | 36 | 100.0 | 100.0 |
Majority of the respondents were in the mid boomers generation with a frequency of 10 (27.8%)
Generation | |||||
Frequency | Percent | Valid Percent | Cumulative Percent | ||
Valid | Veterans | 2 | 5.6 | 5.6 | 5.6 |
early boomers | 7 | 19.4 | 19.4 | 25.0 | |
mid boomers | 10 | 27.8 | 27.8 | 52.8 | |
late boomers | 5 | 13.9 | 13.9 | 66.7 | |
gen xers | 5 | 13.9 | 13.9 | 80.6 | |
gen-Yers | 7 | 19.4 | 19.4 | 100.0 | |
Total | 36 | 100.0 | 100.0 |
Moreover, the analysis revealed that majority of the sampled individuals were non-managers with a frequency equal to 32 (88.9%)
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