Data and Business Decision Making

Running head: DATA AND BUSINESS DECISION MAKING
Data and Business Decision Making
Name of the Student
Name of the University
Course ID

DATA AND BUSINESS DECISION MAKING1
Table of Contents
Answer to question 1.......................................................................................................................2
Answer to question 2.......................................................................................................................2
Answer to question 3.......................................................................................................................3
Answer to question 4.1....................................................................................................................5
Answer to question 4.2....................................................................................................................6
Answer to question 4.3....................................................................................................................6
Answer to question 4.4....................................................................................................................7
Answer to question 4.5....................................................................................................................7
Answer to question 5.1....................................................................................................................8
Answer to question 6.1..................................................................................................................10
Answer to question 6.2..................................................................................................................10
Answer to question 6.3..................................................................................................................11
Answer to question 6.4..................................................................................................................11
Answer to question 6.5..................................................................................................................12
Answer to question 6.6..................................................................................................................13
Answer to question 6.7..................................................................................................................13
Reference.......................................................................................................................................14

DATA AND BUSINESS DECISION MAKING2
Answer to question 1
The Final dataset is prepared by removing all the missing observations in order to get
consistent and unbiased results. The final dataset has 111 observations.
Answer to question 2
The chosen numerical variables are tenure and age. The average value of tenure is 7.76
years and the tenure of respondent lies between 0 and 19 years. The histogram of the tenure
shows the right skewed distribution (Godoey and Reich 2019).
The average value of age is 33.37 years and the age of respondents lies between 10 and
38 years. The histogram of the age shows the right skewed distribution.
tenure age
Mean 7.7568 33.3694
Standard Error 0.4462 0.2867
Median 8 33
Mode 7 38
Standard Deviation 4.7005 3.0209
Sample Variance 22.0948 9.1260
Kurtosis -0.9044 -1.2466
Skewness 0.1318 0.0635
Range 19 10
Minimum 0 28
Maximum 19 38
Sum 861 3704
Count 111 111
The chosen categorical variables are marriage and gender. There is 86% of married and
14% single respondents. There is approximately 42% female and 58% of male respondent.

DATA AND BUSINESS DECISION MAKING3
Marriage Frequency Frequency Percentage
married 96 86%
single 15 14%
Grand Total 111 100%
Gender Frequency Frequency Percentage
Female 47 42%
Male 64 58%
Grand Total 111 100%
Answer to question 3
The scatter plot shows a strong relationship between IQ and education (Walker and Zhu
2017). The regression result shows that the education has significant impact on IQ as the p-value
of the coefficient is significant at 5% significance level.