Statistics Case

Abstract

The data of the gender and the intrinsic will be analyzed to better understand all of the data. This will also provide us with some visual aid of the data as it is analyzed. It will give a better resolution to the data.

Introduction

This report will help us better understand some of the differences in qualitative data and quantitative data. How these variables and the data we can get from them and turn this into visual aids to further are business performance of the personnel.

Chosen Variables

The variable that I have chosen for the qualitative is the gender variable. The reason that I have chosen the gender variable is it ties into my second variable of quantitative. The second variable is intrinsic. How all this ties together is really in the outcome of the data. Who is more satisfied with performance of the job more men or women.

Difference in variable types

Qualitative variables are nonnumeric or have nonnumeric characteristics. Quantitative are numbers or variables that will actually give us useful information. The descriptive statistic that are appropriate for a qualitative variable are; difference in quality but not the amount and some of these are things like hair and eye color, gender, religion, state of birth, etc. (Lind, D.A., Marchal, W.G., Wathen, S.A., 2010) For a quantitative variable the descriptive statistic could be a continuous variable or a discrete variable and these can be numeric as compared to quality or characteristics in qualitative. (Editorial Board, 2012)

Descriptive statistics: Qualitative variable

mode 1

Explanation of descriptive statistics

The mode done for the qualitative data, which is the only calculation that makes any sense, because the numbers really have no meaning just titles of male and female. Now what this information tells us out of the 42 people that took this survey there were more males than females. How I came to this conclusion is that 1 stands for male and 2 stands for females. My suggestion to AIU would be to have the same amount of both gender participate in the survey for the reason that the results might not be so one sided gender wise.

Descriptive statistics: Quantitative variable

Intrinsic

Mean 5.078571

Median 5.2

Mode 5.2

Standard Deviation 0.777593

Sample Variance 0.604652

Range 4.1

Minimum 2.1

Maximum 6.2

Count 42

Explanation of descriptive statistics

The mean in the statistics above means the average score that the people gave on a scale from one two seven, one be the lowest seven being the highest, so the average is 5.078571 which in turn is the mean. The median is the middle between the data that is presented and what people actually contributed to the survey keeping in mind the scale of one to seven. The mode is what appears the most on the survey of the forty two people.

This brings us to standard deviation which is in turn is going to be the variance square root. (Lind,