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busn311_unit_1.docxRunning head: BUSN311 - Quantitative Methods and Analysis 5
Unit 1 - Fundamentals of Statistics
Felisha McInnis
American InterContinental University
Abstract
In this essay reader will be able to understand qualitative data by chosen gender or position and quantitative data by chosen either intrinsic or extrinsic. Also the explanation of data that was selected and examining sets of data that was learned will also be explained. Microsoft excels with data use of mean median mode measures and two measurement of variability standard deviation and variance will be analysis for reader to understand. In conclusion you will be able to know if the measurement is applicable and chart and graph of each results and why they are important in conveying information in a visual format and standard deviation and variation are important and a discussion of what was learned from the results in process.
Introduction
Most prominent studies in companies are job satisfaction, which refers to a person’s contentment with his or her job. There are some factors that can contribute to a person satisfaction in workplace like environment, employee relations, salary, or even work load. Satisfaction of a job is measured by the use of rating scales where employees described their feedbacks to their on the job environment. Over time theories have evolved the perceived connections between job satisfaction and other variable such as workplace productivity.
Chosen Variables
Job satisfaction is all about an employees serving that the work is done completely and i=well with minimum or no errors. In order to have a well entitled job satisfaction, there are a number of factors to consider in job satisfaction. One of the reasons is the personality of the employees and also the way the company treats its employees. In the field of data satisfaction I will look at gender and intrinsic.
Difference in variable types
Qualitative is non numerical measurement on set of objects and people and quantitative is numerical measurement for set of objects or people. The main aspect for the selection of the two was to examine the reaction of the employees according to age on the job satisfaction. The both on the positive and the negative feedback on the data obtained. In the intrinsic area, the survey was carried to help in also obtaining the employee job satisfaction positive feedback on it.
The main aspect for the selection of the two was to examine the reaction of the employees according to age on the job satisfaction. The both on the positive and the negative feedback on the data obtained. In the intrinsic area, the survey was carried to help in also obtaining the employee job satisfaction positive feedback on it.
Explanation of descriptive statistics
On the part of age, there are many who responded on the data collection. More of them were clarifying that the data set was only meant to be a way for a company to archive. Many proved to be closely supervised in order to perform their duties. Those of ages from 45 and above proved to be giving satisfactory jobs since they have already been able to master their duties and also they are aware of it very well. There are also skilled and experts since their working experience in their occupation have been taken for a long time.
Calculations on the mean, mode, median, variance and standard deviation for both gender and intrinsic
The data collection of gender satisfaction from the age of 20 – 70. The data presented is a grouped data form
|
class |
mid |
frequency |
d=x-A |
fd |
fd2 |
|
20-29 |
47 |
3 |
-15 |
-45 |
675 |
|
30-39 |
52 |
9 |
10 |
-90 |
900 |
|
40-49 |
57 |
13 |
-5 |
-65 |
325 |
|
50-55 |
62 |
15 |
O |
0 |
0 |
|
56-60 |
67 |
5 |
5 |
25 |
125 |
|
60-65 |
72 |
4 |
10 |
40 |
400 |
|
65-70 |
77 |
1 |
15 |
15 |
225 |
|
|
|
50 |
|
-120 |
2650 |
Mean
Mean for sample data:
=62 – 2.4
Answer 59.6
Median
L + I *(N/2 - F)/f
Li is the lower limit of the median class.
is half the sum of the absolute frequency.
Fi-1 is the absolute frequency immediately below the median class.
ai is the width of the class containing the median class.
The median is independent of the widths of the classes.
The median is 42.125
Mode
Where
· L is the lower class limit of the modal class
· f1 is the frequency of the modal class
· f0 is the frequency of the class before the modal class in the frequency table
· f2 is the frequency of the class after the modal class in the frequency table
· h is the class interval of the modal class
mode =53.4657.
Variance
In the group data we calculate it as
= 53-5.76
=47.24
Standard deviation
s.d=
= 6.873
Graph of the set of data
The data collection of intrinsic satisfaction from the age of 20 – 70. The data presented is a grouped data form
|
class |
mid |
f |
fx |
d |
d square |
fd square |
|
30-34 |
32 |
5 |
160 |
-21 |
441 |
2205 |
|
35-39 |
37 |
7 |
259 |
-16 |
256 |
1792 |
|
40-44 |
42 |
10 |
420 |
-11 |
121 |
1210 |
|
45-49 |
47 |
10 |
470 |
-6 |
36 |
360 |
|
50-54 |
52 |
19 |
988 |
-1 |
1 |
19 |
|
55-59 |
57 |
20 |
1140 |
4 |
16 |
320 |
|
60-64 |
62 |
20 |
1240 |
9 |
81 |
1620 |
|
65-69 |
67 |
6 |
402 |
14 |
196 |
1176 |
|
70-74 |
72 |
2 |
144 |
19 |
361 |
722 |
|
75-79 |
77 |
1 |
77 |
24 |
576 |
576 |
|
|
|
100 |
5300 |
|
|
10000 |
Mean
Mean for sample data:
5300/100
=53
Median
L + I *(N/2 - F)/f
Li is the lower limit of the median class.
is half the sum of the absolute frequency.
Fi-1 is the absolute frequency immediately below the median class.
ai is the width of the class containing the median class.
The median is independent of the widths of the classes.
Median is = 51.678
Mode
where
· L is the lower class limit of the modal class
· f1 is the frequency of the modal class
· f0 is the frequency of the class before the modal class in the frequency table
· f2 is the frequency of the class after the modal class in the frequency table
· h is the class interval of the modal class
mode = 57.235
Variance
Variance= 100
Standard deviation
=10
Graph of the data set
Conclusion quantitative and qualitative research are two approaches to gathering data and they can be used together and two approaches get into similar methodology at time they look for different types of information . Each has advantages and disadvantages but what works best depends on what a person is studying and hoe much information and detail you need.
References
Keller, G., & Warrack, B. (2000). Statistics for management and economics. Pacific Grove: Duxbury Press.
Olia, M. (2008). Barron's FE fundamentals of engineering exam. Hauppauge, N.Y: Barron's Educational Series.
Jang, J., & Tas, R. F. (2008). The impact of career motivation and polychronicity on job
satisfaction and turnover intention among hotel industry employees. Denton, Tex.: University of North Texas.
Newbold, P., Carlson, W. L., & Thorne, B. (2007). Statistics for business and economics. Upper Saddle River, N.J: Pearson Prentice Hall.
20-29 30-39 40-49 50-55 56-60 60-65 65-70 3 9 13 15 5 4 1 20-29 30-39 40-49 50-55 56-60 60-65 65-70 3 9 13 15 5 4 1
