ANLY482 AY2016-17 T2 Group10 Analysis & Findings: Analysis

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Analysis

By Therapy Group

Therapy Group 1: Adult Vaccines

Results show that the p-value between the high-low category and high-medium category is way lower than 0.05 and thus we reject the null hypothesis that the means are the same. For the medium-low category, the p value is higher than 0.05, therefore we do not reject the null hypothesis that the means are the same as there is not enough evidence to show that the means are different.

Therapy Group 2: Dermatology

Results show that the p-value between the high-low category and high-medium category is way lower than 0.05 and thus we reject the null hypothesis that the means are the same. For the medium-low category, the p value is higher than 0.05, therefore we do not reject the null hypothesis that the means are the same as there is not enough evidence to show that the means are different.

Therapy Group 3: Allergy

Results show that the p-value between the high-low category and high-medium category is way lower than 0.05 and thus we reject the null hypothesis that the means are the same. For the medium-low category, the p value is higher than 0.05, therefore we do not reject the null hypothesis that the means are the same as there is not enough evidence to show that the means are different.

Therapy Group 4: Pediatrics Vaccines

Results show that the p-value between the high-low category and high-medium category is way lower than 0.05 and thus we reject the null hypothesis that the means are the same. For the medium-low category, the p value is higher than 0.05, therefore we do not reject the null hypothesis that the means are the same as there is not enough evidence to show that the means are different.

Therapy Group 5: Urology

Results show that the p-value between the high-low category and high-medium category is way lower than 0.05 and thus we reject the null hypothesis that the means are the same. For the medium-low category, the p value is higher than 0.05, therefore we do not reject the null hypothesis that the means are the same as there is not enough evidence to show that the means are different.

Therapy Group 6: Respiratory

Results show that across all category pairings (high-medium, high-low, low-medium), the p-value falls in the acceptable range, which means that there is not sufficient evidence for us to reject the null hypothesis that the means are the same.

Discussion for ANALYSIS: BY THERAPY GROUP
Across most therapy groups (5/6), apart from respiratory, it seems that the change from low to high interactions and low to medium interactions bears positive and significant impact on the difference in means, which means that it is always better to perform high level interactions for each therapy group than low and medium level interactions. The change in means reflected is highest on the Urology group. The Respiratory group is an exception, with all p values falling in levels that deny us the chance of rejecting the null hypothesis that the means are the same.

By Sales Channel

Sales Channel 1: Pharmacies

Results show that across all category pairings (medium-low, high-low, medium-high), the p-value falls in the acceptable range, which means that there is not sufficient evidence for us to reject the null hypothesis that the means are the same.

Sales Channel 2: Private Hospitals

Results show that the p-value between the high-low category is way lower than 0.05 and thus we reject the null hypothesis that the means are the same. For the medium-low and high-medium category, the p value is higher than 0.05, therefore we do not reject the null hypothesis that the means are the same as there is not enough evidence to show that the means are different

Sales Channel 3: Restructured Hospitals

Results show that across all category pairings (high-low, high-medium, medium-low), the p-value falls in the acceptable range, which means that there is not sufficient evidence for us to reject the null hypothesis that the means are the same.

Sales Channel 4: Polyclinics

Results show that the p-value between the high-medium category is way lower than 0.05 and thus we reject the null hypothesis that the means are the same. For the low-medium and high-low category, the p value is higher than 0.05, therefore we do not reject the null hypothesis that the means are the same as there is not enough evidence to show that the means are different

Sales Channel 5: Specialists (Neighborhood clinics)

Results show that the p-value between the all pairings(high-low, high-medium, medium-low) is way lower than 0.05 and thus we reject the null hypothesis that the means are the same.

Sales Channel 6: General Practitioner (Neighborhood clinics)

Results show that the p-value between the high-low category and high-medium category is way lower than 0.05 and thus we reject the null hypothesis that the means are the same. For the medium-low category, the p value is higher than 0.05, therefore we do not reject the null hypothesis that the means are the same as there is not enough evidence to show that the means are different.

Discussion for ANALYSIS: BY SALES CHANNEL
A few findings can be seen from these results:

1. Sales interactions increases results in significant improvement in means for neighbourhood clinics, both Specialists and General Practitioners.
2. Restructured hospitals and Pharmacies have not been proven to be affected by any change in interaction.
3. Different sales channels have extremely different patterns of sales (i.e. affected by interactions in different ways
4. Private hospitals only see a change in revenues when interactions are increased greatly from low to high, but not from a low to medium level.
5. Polyclinics behave the most oddly, with changing of interactions from medium to high having a significant improvement in mean yet there is no conclusive evidence that a change from low to medium interactions result in a change in mean revenues.

Further Analysis, Quarter Anomalies

For each therapy group, the team has decided to explore deeper by looking at each therapy group by quarterly performance and each sales channel by a quarterly view. We expectquarters to follow the results as in the year’s results, which otherwise, could mean that there is a certain action causing an anomaly during the quarter.

Therapy Group 1: Adult Vaccines
Q1 to Q3 follow the results as in the overview of a year, however, Q4, as in above, has now only the high-low category with a p-value of less than 0.05, with a slightly inflated p-value in the medium-low category

Therapy Group 2: Dermatology
Q2 to Q4 follow the results as in the overview of a year, however, Q1, as in above, have inflated p-values in all categories, which means that there is no significant change in means at all. This is odd as the p-values are extremely high.

Therapy Group 3: Allergy
Q1 shows a deviation in the results where p-value for the first two groups are now more than 0.05
Q2 shows a deviation in the results where p-value for the first group is now more than 0.05
Q4 shows a deviation in the results where p-value for the first two groups are now more than 0.05

Therapy Group 4: Pediatrics Vaccines
There is no deviation from the original yearly results for paediatrics vaccines

Therapy Group 5: Urology
There is no deviation from the original yearly results for paediatrics vaccines

Therapy Group 6: Respiratory
Q1,Q2 and Q4 follow the results as in the overview of a year, however, Q3, as in above, has the high-medium category with a p-value of less than 0.05.

Concluding Analysis for Further Analysis, Quarter Anomalies
Most results follow the original with a few exceptions. In the case of adult vaccines, while Q4 shows a higher p-value in the 2nd group, it is not extremely inflated, thus there might still actually be a change in means, making the slight exception negligible. For the case of Dermatology, there needs to be investigation done regarding Q1 as to why there is such a huge deviation in results. Oddly enough, for the allergy group, three quarters differ from the original results, which means that investigation is needed for this area too. Finally for respiratory, there is oddly enough a category with a p-value of less than 0.05 in the first category and thus more investigation needs to be done in this area.