Business Decision Making Report: Analysis and Decision Making, LSST

This report analyzes a business decision-making scenario for the launch of Amistar, a fungicide, focusing on the Indian market. It details the selection of India as the target country, supported by economic and agricultural factors. The report outlines data collection methods, including primary and secondary data sources, and explains the survey methodology, including respondent selection and sampling techniques. A sample questionnaire is provided to gather insights on pesticide preferences and consumer behavior. The report also covers the calculation and interpretation of skewness, mean, mode, median, range, variance, quartiles, and percentiles, demonstrating an understanding of statistical analysis. Furthermore, it includes a discussion of management information systems (MIS) and network diagrams, highlighting the importance of data-driven decision-making in business operations. The student's work demonstrates an understanding of the concepts and the ability to apply them to a real-world business context, though with some errors in the statistical calculations.

UNIT 6:
Business Decision
Making
Student name and ID number Assessor name

Assignment title Business Decision Making

Instructions
 An electronic copy of your
assessment must be fully uploaded
by the deadline date and time.
 You must submit one single PDF or
MS Office Word document. Any
relevant images or screenshots
must be included within the same
MS Office Word or PDF document.
 The last version you upload will be
the one that is marked. Your paper
will be marked if you have
indicated this as your final
submission.
 Review the mitigating
circumstances policy for
information relating to extensions.
 The file size must not exceed
20MB.
 Answer the criteria in order, clearly
indicating the pass criteria number.
 Ensure that all work has been
proof-read and checked prior to
submission.
 Ensure that the layout of your
documents are in a professional
FEEDBACK SHEET
(Item Report Form)

Assessment Title
Business Decision Making
Task Criteria
assessed
Criteria
achieved
Evidence and comments:
1
AC 1.1 Y The student was required to choose a country for the
launch of Amistar giving valid reasons and prepare a
plan explaining the ways that will be used to collect data
for the project.
AC 1.2 Y The student should have explained the survey
methodology and its 2 types, presented a choice of
sampling technique that would be used for the research.
The student is also advised to explain different sampling
techniques available before choosing one.
AC 3.4 Y The student should have presented the task in the form
of a formal report.
M2 N Not attempted
AC 1.3 Y The student has presented a survey questionnaire for
given business scenario. AC achieved.
M1 Y Student has explained the measure of skewness.
2
AC 2.1 N Your entire calculation was wrong due to using the wrong
data set. Contact academic support to provide you the
correct data or pay particular attention to the data
provided.
AC 2.2 N Your entire calculation was wrong due to using the wrong
data set. Contact academic support to provide you the
correct data or pay particular attention to the data
provided.
AC 2.3 N Your entire calculation was wrong due to using the wrong
data set. Contact academic support to provide you the
correct data or pay particular attention to the data

provided.
AC 2.4 Y You have demonstrated a good knowledge of quartiles
and percentiles through the explanation provided.
D2 N Not attempted
3
AC 3.1 Y The student has presented a column graph for the case
given in the assignment with explanation of the graph.
AC 3.2 Y The student has presented a line graph for the case
given in the assignment
AC 3.3 Y The student has presented a Power Point presentation
for given business case.
M3 N Not attempted
D1 N More details were required.
4
AC 4.1 N You have failed to discuss the Management Information
System (MIS) as required on 4.1
AC 4.2 Y You have demonstrated a good knowledge of the
network diagram.
AC 4.3 N Not attempted
D3 N Not attempted.
Feedback:
You have failed to
demonstrate
sufficient
knowledge to pass
the module, you
have failed to use
the correct details
for Task 2 hence
your entire
calculation was

wrong.
Grade indicator: Referral
Tasks #1
Q1: Country Selection and Plan
The paper has selected India as a country where Amistar can be launched and there are various
reasons behind this selection. Amistar is fungicide dedicated towards Integrated Pest
Management and India being an agrarian economy it will require lots of such new products
(Tomlinson, 2013). Therefore, selecting this country for the launch of this product seems logical.
Collection of Primary Data

The collection of primary data for the research will be based on certain set of questionnaires
targeted towards the subject (McQuarrie, 2015).
Collection of Secondary Data
The secondary data will be collected through the various secondary sources such as the Indian
government portals where the data related to country’s economy, population, total land that is
still can be used for agriculture and the land those require some pesticide processing (McQuarrie,
2015).
Survey Methodology
The survey methodology concerned with understanding the possibility of launching Amistar in
the country consists of various elements (Hippler et al, 2012). Those are mentioned below:
Eligible Respondent: The respondent selected for the survey will be those who have some prior
experience in the agricultural arena. These respondents will be from the governmental
department of agriculture of India and some of those who have spent their substantial amount of
time growing agricultural products in the country and understand the soil and environment very
well.
Sampling Method: The sampling method applied for this process will be purposive sampling
where the respondents will be selected on the understanding and conscience of the researchers.
The researchers for this project will have substantial experience in selecting right set of
candidates for the research.
Q2: Questionnaire for the survey

1. How many years you have spent in growing, understanding or studying the agricultural
produce in India?
i) 0-5 years ii) 5-10 years iii) 10-15 years iv) 15 years and above
2. What changes you want to see in terms of pesticide development in this country for the
agricultural lands?
3. Would it be beneficial for us to bring a pesticide that can help the farmers tackle pests
effectively in the country?
4. At what price you will prefer this product?
5. Can you state some reason behind your choice of price?
6. What distance you can travel or you think others can travel to get this pesticide product from
their current location?
7. What preferred mode of advertisement would be suitable for the consumer of India?
8. What packaging would be most preferred by the consumers?
9. How you see the acceptance of new pesticide products in the Indian consumers?
10. Can you name few of the most used pesticide products in the country?
11. What are the reasons they might reject this product?
12. What you see as the biggest hurdle for this product to reach the consumer’s hand?
13. Any further suggestions?

M1
The coefficient of skewness that has been discussed here is developed by Karl Pearson (Hine,
2012). He used to methods of developing the coefficient of skewness one was using the mode
and the other was using the median. Mentioned below are both the methods.
a) Based on mode the formula is:
The x bar is the mean and Mo is the mode. The s in the formula stands for the standard deviation
of the collected sample.
b) Based on median the formula is:
Skewness helps to understand the symmetry in the distribution of the data. The business
researches can use above stated formulas to calculate the same to understand that whether the
data collected is symmetrical or the data lacks the symmetric orientation. Other than the method
of Pearson mentioned above, the skewness can be calculated using the Bowley, Kelly’s Measure
or the Momental method (Miles, Huberman and Saldana, 2013). The application of these
methods depends on what is known about the data. If all the central deviation, namely, mode,
median, and mode are known then the use of Pearson Coefficient is suitable. However, if only
the mean of the data is known then the use of Momentalskewness would be the suitable method
(Grbich, 2012. ).

References (M2)
Tomlinson, B. R. (2013). The economy of modern India: from 1860 to the twenty-first century
(Vol. 3). Cambridge University Press.
McQuarrie, E. F. (2015). The market research toolbox: a concise guide for beginners. Sage
Publications.
Hippler, H. J., Schwarz, N., &Sudman, S. (Eds.). (2012). Social information processing and
survey methodology.Springer Science & Business Media.
Hine, J. (2012). A Programmed Text in Statistics Book 4: Tests on Variance and Regression.
Springer Science & Business Media.
Grbich, C., 2012. Qualitative data analysis: An introduction. Sage.
Miles, M. B., Huberman, A. M. and Saldana, J., 2013. Qualitative data analysis. Sage
Task #2
Q1:
Mean refers to the average of the data set (Field, 2013). It is calculated by adding the numbers
and then dividing the sum with the total number of numbers. From the table below we can say
the 22 countries can spend sum of £33.07m.
Mode refers to the number that has occurred most frequently within a data set (McKenzie, 2014).
the mode to the data which is calculated below is £24.44m.

The median refers to the central or middle value of the data set (Samuels et al, 2012). the value
to the middle of the overall expenditure is £30m, which is illustrated in the table below.
The mean, median and mode calculated below will help the Amistar understand the central
tendency of the whole sample and will help it understand the overall inclination of the whole
population. The central tendency of the data set help the company makes decisions as per the
current inclination of the population (Ary et al, 2013).
Annual
Expenditure /£m
Mid
value
No. of
Countie
s
Mid value * No. of
countries
0-10 5 13 65
10-20 15 25 375
20-30 25 37 925
30-40 35 22 770
40-50 45 21 945
50-60 55 20 1100
60-70 65 12 780
SUM 150 4960
Mean 33.07
Mode #N/A
Median 21
Q2
The range will help the company understand the premise to which a particular data set of the
sample belongs. The standard deviation helps in understanding the extent to which a data set is
deviating from the mean. As per this business is concerned the standard deviation will help it to

understand the deviation of the annual expenditure from its central point. It will help the
company decide the countries that would be most suitablebased on the stability in the annual
expenditure. The standard deviation and the variance provide the measure of stability. The
variance helps the business in assessing the relationships between the variables and in
forecasting the various aspects of the business which can allow the company to make current and
future decisions.
The range of the data set = 55-5 = 50. Variance = 4320/150 = +/- 5.3.
Q3
The quartiles help the business categorize the data into various areas such as first quartile, second
or others. The percentiles help in understanding the percentage of the sample belonging to
certain category. The correlation coefficient helps in understanding the extent of relationship
between the two variables. It helps business understand the dependence of one on another.
The quartile helps the business identify the investment the amount of expenditure that lies in the
defined percentiles (Doane and Seward, 2005). It can be stated that as 90 percentile of the data
set lies in the 20-30 million then it can be stated that the business can consider this aspect to
make certain decisions. The percentiles of a data set help the business understand the segment to
which the investment can be made the segment that can be ignored. The interquartile range
shows the difference between the value that lies below the first quartile and the value that lies
above the third quartile. The quartile calculation of the data helps the business understand the