Question Five HR manager in L&B real-state company is working with finance department in improving the salaries and the following descriptive statistics were obtained.Table (2) DepartmentMeanSDCoefVarMinQ1MedianQ3MaxIQRSkewnessFinance6.0523.87464.011.6303.393(a)7.50022.8604.1072.00HR5.4413.235(b)2.0003.2004.1006.43021.8603.230(C)IT5.8803.88766.100.5303.2504.630(d)24.9803.5502.18Marketing6.0103.73762.181.6703.4755.0006.64522.2003.1702.14Training6.0953.71961.021.5003.3305.0007.64020.0004.3102.00CoefVar stands for coefficient of variation graph (1) The company has hired you to answer the following questions: Find the missing values of (a), (b), (c) and (d). Do you think that the salaries in the departments are skewed, justify your answer with proper measure from table (2).Based on the boxplot for the salaries by department in graph (1), comment on the graph in terms of existence of outliers, skewness and which department has higher outliers.Based on your answer in (3), comment and compare on the suitable central and absolute dispersion measures depending on table (2).Based on table (1), do you think the salaries of which group is more homogenous, support your answer and comment on the .11 2.1 3-15.16.1011-12.113CoefVar stands for coefficient of variation1.16.I 17118 TBoxplot of salary252015105.FinanceHRITMarketingTrainingDepartmentThe company has hired you to answer the following questions:1) Find the missing values of (a), (b), (c) and (d).Stop ShareYou are screen sharingsalary* *

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Holt Mcdougal Larson Pre-algebra: Student Edition 2012

1st Edition

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Chapter11: Data Analysis And Probability

Section11.2: Box-and-whisker Plots

Problem 1E

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Question Five

HR manager in L&B real-state company is working with finance department in improving the salaries and the following descriptive statistics were obtained.

Table (2)

Department	Mean	SD	CoefVar	Min	Q1	Median	Q3	Max	IQR	Skewness
Finance	6.052	3.874	64.01	1.630	3.393	(a)	7.500	22.860	4.107	2.00
HR	5.441	3.235	(b)	2.000	3.200	4.100	6.430	21.860	3.230	(C)
IT	5.880	3.887	66.10	0.530	3.250	4.630	(d)	24.980	3.550	2.18
Marketing	6.010	3.737	62.18	1.670	3.475	5.000	6.645	22.200	3.170	2.14
Training	6.095	3.719	61.02	1.500	3.330	5.000	7.640	20.000	4.310	2.00

CoefVar stands for coefficient of variation

graph (1)

The company has hired you to answer the following questions:

Find the missing values of (a), (b), (c) and (d).

Do you think that the salaries in the departments are skewed, justify your answer with proper measure from table (2).
Based on the boxplot for the salaries by department in graph (1), comment on the graph in terms of existence of outliers, skewness and which department has higher outliers.
Based on your answer in (3), comment and compare on the suitable central and absolute dispersion measures depending on table (2).
Based on table (1), do you think the salaries of which group is more homogenous, support your answer and comment on the

.11 2.1 3-1
5.1
6.
10
11-
12.1
13
CoefVar stands for coefficient of variation
1.
16.I 171
18 T
Boxplot of salary
25
20
15
10
5.
Finance
HR
IT
Marketing
Training
Department
The company has hired you to answer the following questions:
1) Find the missing values of (a), (b), (c) and (d).
Stop Share
You are screen sharing
salary
* *

Definition Definition Middle value of a data set. The median divides a data set into two halves, and it also called the 50th percentile. The median is much less affected by outliers and skewed data than the mean. If the number of elements in a dataset is odd, then the middlemost element of the data arranged in ascending or descending order is the median. If the number of elements in the dataset is even, the average of the two central elements of the arranged data is the median of the set. For example, if a dataset has five items—12, 13, 21, 27, 31—the median is the third item in ascending order, or 21. If a dataset has six items—12, 13, 21, 27, 31, 33—the median is the average of the third (21) and fourth (27) items. It is calculated as follows: (21 + 27) / 2 = 24.

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