Quantitative Analysis

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Running head: QUANTITATIVE ANALYSIS
Quantitative Analysis
Student name
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Quantitative Analysis
Application of quantitative reasoning
1. The distribution is bimodal, by viewing the histogram we can see it has several
modes. This is a feature of a bimodal distribution.
2. Average percentage growth ¿ 3702000−985000
985000 ∗100=275.8 %
Projected sales for 2016 – 2017
The growth rate is over 13 years’ time line. Hence for a single year it is
( 275.8
13 ) =21.22 %.
In 2016 the value was ( 3702000∗1.2122 ) =$ 4487564.4
For 2017 therefore the value will be.
4487564.4∗1.2122=$ 5439825.57
3. The standard deviation of salary is $ 21711.92675, this shows that the salary range
will be wide, for rate per hour it is 10.43842632. For years of service the value is
4.079069. Moreover, education has a standard deviation of 2.248127, this implying a
narrow spread around the mean and finally the standard deviation for age is
9.698093106.
4. Education
Majority of the employees in the firm are high school graduates, being over 50% of
the total population this is a sign of domination. To ascertain that the employees are
diversely selected across various levels of education, at least one group should not
exceed 50% of the total population.
Race
The company employees are majorly Caucasian and do not meet the requirements of a
diverse workforce based on the bar graph outlay. To determine if the race is diverse at
least one group of the race should not exceed 30 % of the total.
Gender
The male employees exceed 80% of the total number which is a clear indication that
the company is dominated by the males. A diverse gender needs to have one gender
not exceeding 2/3 of the total employees’ population.
5. The job which requires more employees is the Machine with 159 employees. This
means that the company should employ an optimum number of this group of
employees for its operations to run smoothly