MTH410 - Quantitative Business Analysis. Option #1: Business Profits The research firm LL Research collected data from 200 client businesses. They want to determine how the businesses compare among...

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Answered 2 days AfterFeb 02, 2021

Answer To: MTH410 - Quantitative Business Analysis. Option #1: Business Profits The research firm LL Research...

Sudipta answered on Feb 05 2021
161 Votes
Running head: Quantitative Business Analysis        1
Quantitative Business Analysis        2
QUANTITATIVE BUSNIESS ANALYSIS
Table of Contents
Introduction    3
1. Descriptive sample statistics    3
2. Compute the percent change in profit from 2015 to 2016    5

3. Compute the sample correlation coefficient    6
Conclusion    7
References    8
Introduction
Business profit is one of the major variables which signifies the profitability of a firm. This report is focused on quantitative analysis on four different variables of 200 businesses. “Profit of 2015”, “Profit of 2016”, “Average change in daily visit”, “Average number of employees” are four different variables used in the quantitative part. The aim of this paper is to understand the profitability nature of 200 businesses and identifying factors having an impact on the profitability. Z-score is obtained to understand businesses that have underperformed or overperformed. Relationships between variables have been identified through a correlation coefficient.
1. Descriptive sample statistics
    Components
    2015 Profit
    2016 Profit
    Two Year avg. change in daily no. of visits
    Two Year Average Number of Employees
    Mean
    5660.395
    5386.165
    48.28
    61.62
    Median
    5922
    5468
    51
    65
    Mode
    6541
    1063
    83
    66
    Quartile 1
    3621
    2943.5
    16.25
    41
    Quartile 3
    7650
    7532
    82.75
    79
    Interquartile range
    4029
    4588.5
    66.5
    38
    Maximum
    9973
    9978
    101
    100
    Minimum
    900
    930
    -60
    20
    Range
    9073
    9048
    161
    80
    SD
    2494.614
    2618.918
    36.3108
    22.41938
    Coefficient of variation
    44.07138
    48.62306
    75.20878
    36.38329
Table 1: Descriptive statistics
· "Mean value" would be the best application under central tendency because it helps to identify the average value of a particular variable.
· "Range value" would be the best application under the measure of variation to understand the business because it displays the difference between the maximum and minimum value of a particular variable.
· The mean profit of 2015 and 2016 will be compared. If it is found the profit amount has increased in 2016, then it will signify better performance in that year, or else, it will represent better performance during 2015. On the other hand, range will help to determine the difference between the company which has performed best and the company performed worst.
· “Stacked Column chart” would be the best graphical diagram in this situation to display all...
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