# Assignment : Statistical Decision Analysis

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STATISTIC AND
DECISION ANALYSIS
INTRODUCTION...........................................................................................................................1
PART 1............................................................................................................................................1
1. Measuring descriptive analysis based on prices at difference supermarkets.....................1
2. Measuring descriptive analysis based or Prices among various states...............................2
3. Measuring Descriptive statistics based on prices at locations among super markets.........3
4. Measuring descriptive statistics based on prices of Tesco stores in states.........................4
PART 2............................................................................................................................................6
1. Application of various Tests to analyse significant differences of average prices.............6
2. Analysing the significant differences in Giant stores at different locations.......................7
3. Ascertaining the differences between Penang and Selangor..............................................8
4. Ascertaining in the significant differences in prices among grocery stores.....................10
5. Measuring the significant differences of average prices across three states....................11
CONCLUSION..............................................................................................................................12
REFERENCES..............................................................................................................................13
INTRODUCTION
The implication of statistic tools in measuring the operational need of identifying the
operations on which it can be said that there have been fruitful identification of all the statistical
analysis. There has been determination of appropriate probability theory which will be adequate
and helpful as per making suitably decisions. In the present assessment there will be analysis
over various supermarkets located at various states. It comprised with the support of descriptive
analysis as well as various statistical tests. Thus, to identify the outcomes it will be appropriate
and adequate as per making suitable changes in the operations. Ascertaining the various
outcomes through identify values like, mean, standard deviation and several tests.
PART 1
1. Measuring descriptive analysis based on prices at difference supermarkets
Ascertaining the differences of prices in each supermarkets as per implicating descriptive
analysis over the data set. Identification of the differences with will be adequate and helpful as
per making suitable determination of the facts (Zhang and et.al., 2018). However, the below
statement will be adequate and helpful as per analysing the differences in the price at various
supermarkets.
Descriptive Statistics:
Pricename
Mean77.5792Mean2.5
Standard Error0.94471Standard Error0.10249
Median81.415Median2.5
Mode60.05Mode1
Standard Deviation10.3488Standard Deviation1.12272
Sample Variance107.098Sample Variance1.2605
Kurtosis-0.7795Kurtosis-1.3667
Skewness-0.8941Skewness1.50E-017
Range32.34Range3
Minimum59.61Minimum1
Maximum91.95Maximum4
Sum9309.5Sum300
1
Count120Count120
Interpretation:On the basis of above listed measurement it can be said that there have
been huge differences in the prices and supermarket outcomes. Therefore, on the basis of derived
results on which the average prices of products is 77.58 and standard deviation is of 0.944. Thus,
as per ascertaining the outcomes on which it can be said that there are various prices on which
mean prices are of 77.58, median is 81.41 and mode of 60.05. Similarly, in relation with
analysing the supermarket data set. It brings the outcomes like mean value of 2.5, standard
deviation is of 0.102, median is 2.5 and mode is 1. Thus, as per assessing the data set outcomes it
has been analysed here that Tesco is more capable of using the information rather than other
supermarkets. Considering the standard deviation such as 1.122 on which it can be said that the
most effective operations is being operated by Tesco in various states.
2. Measuring descriptive analysis based or Prices among various states
Determination of differences between supermarkets and states as per basic staple basket
prices. Thus, in relation with this it can be said that there are various outcomes which will be
used to have satisfactory analysis over differences in such variables (Chen and et.al., 2017).
Therefore, addressing the differences between variables such as supermarket and states they
operate which will be analysed as per below listed descriptive analysis.
Descriptive Statistics:
namestate
Mean2.5Mean2
Standard Error0.10249Standard Error0.07485
Median2.5Median2
Mode1Mode1
Standard Deviation1.12272Standard Deviation0.81992
Sample Variance1.2605Sample Variance0.67227
Kurtosis-1.3667Kurtosis-1.5127
Skewness1.50E-017Skewness-4.00E-018
Range3Range2
Minimum1Minimum1
2